How to I merge a PR with my curent
To merge a pull request (PR) with your current codebase, you’ll typically follow these steps on popular platforms like GitHub, Bitbucket, or GitLab:
1. Review the Pull Request:
Before merging a pull request, it’s crucial to review the changes it contains. Ensure that the proposed changes are correct, well-tested, and align with the project’s standards.
2. Resolve Conflicts (if any):
If there are conflicts between the changes in the pull request and your current codebase, you’ll need to resolve them. Conflicts occur when the same lines of code have been modified differently in both branches.
3. Test the Changes:
Before merging, run tests to verify that the changes in the pull request don’t introduce new bugs or break existing functionality.
4. Approve the Pull Request (Optional):
Some projects may require approval from one or more reviewers before merging a pull request. If required, ensure that the necessary approvals have been given.
5. Merge the Pull Request:
Depending on the platform you’re using, there are different ways to merge a pull request:
– **GitHub**: If you are using GitHub, you’ll typically see a green “Merge pull request” button on the PR page. Click on it, and you’ll be prompted to confirm the merge. You can choose to squash, rebase, or create a merge commit based on your preference and project guidelines.
– **Bitbucket**: On Bitbucket, open the pull request, click on the “Merge” button, and then choose the merge strategy (e.g., merge commit, fast-forward, squash) and confirm the merge.
– **GitLab**: For GitLab, you’ll see a “Merge” button on the pull request page. After clicking on it, you can select the merge method (merge commit, fast-forward, squash), and complete the merge.
6. Delete the Branch (Optional):
Once the pull request has been merged, you might want to delete the branch used for the changes to keep the repository clean.
It’s important to be cautious while merging, especially in shared or collaborative repositories, as merging can have a significant impact on the codebase. If you’re unsure about the changes or their implications, seek feedback from your team or project maintainers before proceeding. Additionally, some projects may have specific guidelines or workflows for merging, so it’s a good idea to familiarize yourself with those as well.
is there a command line option?
Yes, you can merge a pull request from the command line using Git. To do this, you’ll typically follow these steps:
1. First, ensure that you have the latest changes from the remote repository by pulling any updates:
“`bash
git pull origin main
“`
Replace `origin` with the remote repository name, and `main` with the branch name you want to pull changes from.
2. Check out the branch containing the pull request. This step is usually optional as the pull request branch is often fetched automatically when you open a pull request locally.
“`bash
git checkout pull-request-branch
“`
Replace `pull-request-branch` with the name of the branch containing the changes from the pull request.
3. Review the changes and resolve any conflicts if needed. Use a Git client or text editor to modify the conflicting files manually. After resolving conflicts, stage the changes for the commit.
“`bash
git add .
“`
4. Commit the changes with a descriptive message.
“`bash
git commit -m “Merge pull request: [pull request title]”
“`
Replace `[pull request title]` with the title of the pull request you are merging.
5. Push the changes to the remote repository.
“`bash
git push origin pull-request-branch
“`
6. Finally, navigate to the remote repository hosting service (GitHub, Bitbucket, GitLab, etc.) and create the merge using their interface or API.
Keep in mind that the steps may vary slightly depending on the Git platform and your specific project configuration. If you are using GitHub, for example, you can also use the GitHub CLI (command-line interface) to merge pull requests from the command line, which provides additional features and flexibility. Similarly, GitLab and Bitbucket may have their respective command-line tools or APIs to facilitate pull request merging.
For more detailed information on the command-line options for a specific Git platform, refer to their official documentation.
Let’s break down this string and see if we can identify the error: failed to solve: executor failed running [/bin/sh -c ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build]: exit code: 2
Let’s break down the provided string:
“`
failed to solve: executor failed running [/bin/sh -c ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build]: exit code: 2
“`
This string appears to be an error message or log from some build or execution process. Let’s analyze it step by step:
1. `failed to solve`: This suggests that there was an issue or error encountered during the process.
2. `executor failed running`: The “executor” refers to the component responsible for running a specific task or command. In this case, it failed to execute the given command.
3. `/bin/sh -c ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build`: This is the command that the executor tried to run. It starts with `/bin/sh -c`, which means the command is being executed using the shell (`/bin/sh`). The actual command appears to be `ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build`.
4. `exit code: 2`: The number 2 is the exit code returned by the command. An exit code of 2 usually indicates an error or failure, where 0 typically indicates success.
Now, let’s discuss possible reasons for this error:
1. **Command or Script Issue**: The command being executed (`make build` in this case) might have encountered an error, such as missing dependencies, incorrect environment variables, or syntax errors in the Makefile or script.
2. **Missing or Incorrect Environment Variable**: The presence of `ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data` before the `make build` command indicates that an environment variable (`ESPEAK_DATA`) is being set. If this variable is critical for the build process, its absence or incorrect value might lead to an error.
3. **Permissions or Path Issues**: The error could be related to permission issues (e.g., insufficient permissions to access certain directories) or problems with the specified paths.
4. **Dependency or Configuration Problem**: There could be missing dependencies or misconfigurations that prevent the build process from completing successfully.
To resolve this issue, you’ll need to investigate the specific error message generated by the `make build` command or examine the build logs for more detailed information. Additionally, verify the correctness of the environment variable `ESPEAK_DATA` and ensure that all required dependencies and configurations are in place. If possible, consult the documentation or community for the project or tool you are using to troubleshoot the error effectively.
docker build command
The `docker build` command is used to build a Docker image from a Dockerfile. A Dockerfile is a text file that contains instructions on how to create a Docker image, including the base image, the application code or files to be included, environment variables, and other configuration settings.
The basic syntax of the `docker build` command is as follows:
“`
docker build [OPTIONS] PATH
“`
– `OPTIONS`: These are various options that can be used to customize the build process. Some common options include:
– `-t, –tag`: Assign a name and optional tag to the image being built. For example, `-t my_image:latest`.
– `–build-arg`: Set build-time variables that can be used in the Dockerfile. For example, `–build-arg VAR=value`.
– `–no-cache`: Do not use cache when building the image.
– `–pull`: Always attempt to pull a newer version of the base image before building.
– `–file, -f`: Specify the name of the Dockerfile if it is not named `Dockerfile` or located in a different directory.
– `PATH`: This is the path to the directory containing the Dockerfile and any other files required for the build.
Here’s an example of using the `docker build` command:
Suppose you have a Dockerfile located in the current working directory, and you want to build an image named `my_image` with the tag `latest`:
“`bash
docker build -t my_image:latest .
“`
In this example, `.` refers to the current directory where the Dockerfile is located.
Make sure you have Docker installed and running on your system before using the `docker build` command. Additionally, the build process might require internet access to download the base image and any other dependencies specified in the Dockerfile.
docker build -t localai:latest .
failed to fetch metadata: fork/exec /usr/local/lib/docker/cli-plugins/docker-buildx: no such file or directory
DEPRECATED: The legacy builder is deprecated and will be removed in a future release.
Install the buildx component to build images with BuildKit:
https://docs.docker.com/go/buildx/
The error message you encountered suggests that the Docker CLI plugin responsible for handling the `docker build` command with BuildKit is missing on your system. Starting from Docker version 19.03, the default builder was switched to BuildKit, which offers improved performance and additional features.
To resolve this issue and continue using the `docker build` command with BuildKit, you need to install the `buildx` component as mentioned in the error message. Here’s how you can do it:
1. First, check your current Docker version to ensure that it is 19.03 or later:
“`bash
docker version
“`
2. Install the `buildx` component. You can use the official installation script provided by Docker:
“`bash
curl -fsSL https://get.docker.com | sh
“`
3. Once `buildx` is installed, enable it:
“`bash
docker buildx create –use
“`
4. Now, you can run the `docker build` command as usual, and it will use BuildKit:
“`bash
docker build -t localai:latest .
“`
By following these steps, you should be able to build Docker images using BuildKit, and the warning about the deprecated legacy builder should no longer appear.
If you encounter any issues during installation or usage, refer to the official Docker documentation for `buildx`: https://docs.docker.com/go/buildx/
>docker build -t localweb .
[+] Building 0.0s (2/2) FINISHED docker:default
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 2B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
ERROR: failed to solve: failed to read dockerfile: open /var/lib/docker/tmp/buildkit-mount2987437238/Dockerfile: no such file or directory
C:SarahOneSuperAgiappLocalAI
The error message you encountered indicates that Docker failed to read the Dockerfile during the build process. It appears that the Dockerfile is not present or not accessible in the specified build context.
Here are a few steps you can take to troubleshoot and resolve the issue:
1. **Check Dockerfile Location**: Ensure that the Dockerfile is present in the current directory from where you are running the `docker build` command. The command is trying to find the Dockerfile in the current context, but it seems to be unable to locate it.
2. **Verify the Docker Context**: The context is the directory or path that Docker uses as a reference while building the image. When you run `docker build`, it sends the entire context to the Docker daemon, including the Dockerfile and any other files required during the build process. Double-check that you are running the `docker build` command from the correct directory that contains the Dockerfile and any other files needed for the build.
3. **Check Permissions**: Ensure that you have the necessary permissions to access the Dockerfile and other files in the build context. If you encounter permission-related issues, try running the command with administrative or superuser privileges.
4. **Use Absolute Path**: Instead of using a relative path for the build context, try using an absolute path to the directory containing the Dockerfile. For example:
“`bash
docker build -t localweb /absolute/path/to/build/context
“`
Replace `/absolute/path/to/build/context` with the actual absolute path to the directory containing the Dockerfile.
5. **Check Dockerignore**: Make sure that the `.dockerignore` file in the build context is not excluding the Dockerfile or any necessary files from being transferred during the build process.
6. **Clean Up Temporary Docker Data**: There could be some temporary Docker data causing issues. You can try cleaning up the temporary Docker data by running:
“`bash
docker system prune
“`
Be cautious when using the `docker system prune` command as it removes all unused data (containers, images, networks, etc.).
By following these steps, you should be able to resolve the issue and successfully build your Docker image. If the problem persists, double-check your Dockerfile and verify that it is valid. Additionally, check for any specific Docker-related issues or configurations that may impact the build process in your environment.
40 |
41 | # Stable Diffusion requirements
42 | >>> RUN apt get update
43 |
44 | RUN apt-get install -y libopencv-dev &&
——————–
ERROR: failed to solve: process “/bin/sh -c apt get update” did not complete successfully: exit code: 100
The error message indicates that the `apt get update` command inside the Dockerfile failed to complete successfully, and it exited with exit code 100. The error is likely due to a syntax issue in the Dockerfile.
The problem lies in line 42 of the Dockerfile:
“`
>>> RUN apt get update
“`
The correct syntax for the `apt-get update` command in a Dockerfile is missing the hyphen (`-`) between `apt` and `get`. The command should be:
“`
RUN apt-get update
“`
The corrected Dockerfile snippet should look like this:
“`Dockerfile
# Stable Diffusion requirements
RUN apt-get update
RUN apt-get install -y libopencv-dev &&
# Additional commands if any
“`
Make sure you fix the typo and rerun the `docker build` command. This should resolve the issue and allow the Dockerfile to build successfully.
——————–
ERROR: failed to solve: process “/bin/sh -c curl -L “https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz” | tar -xzvf – && mkdir -p “spdlog-${SPDLOG_VERSION}/build”
&& cd “spdlog-${SPDLOG_VERSION}/build” && cmake .. && make -j8 && cmake –install . –prefix /usr && mkdir -p “lib/Linux-$(uname -m)” && cd /build && mkdir -p “lib/Linux-$(uname -m)/piper_phonemize” && curl -L “https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz” | tar -C “lib/Linux-$(uname -m)/piper_phonemize” -xzvf – && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/” did not complete successfully: exit code: 2
The error message indicates that the long process, starting with `/bin/sh -c curl`, failed to complete successfully during the Docker build, and it exited with exit code 2. The error is most likely due to some issues during the execution of the lengthy shell command in the Dockerfile.
This command appears to be fetching and installing dependencies and libraries for the project. The problem could be caused by various factors, such as network connectivity issues, incorrect URLs for the downloads, missing required dependencies, or access permission problems.
To troubleshoot and fix this issue, you can take the following steps:
1. Check the URLs: Ensure that the URLs for the downloads in the command are correct and accessible. Test the URLs outside of the Docker build environment to see if they are reachable and the files can be downloaded.
2. Check Network Connectivity: Ensure that the Docker build environment has access to the internet, as it might require internet connectivity to download external dependencies.
3. Verify Dependencies: Double-check if all required dependencies are properly installed and accessible in the Docker build environment. Missing dependencies can cause issues during the build process.
4. Use Multi-line Syntax: Since the command is quite lengthy, it’s easier to read and maintain if you use multi-line syntax in the Dockerfile. Instead of having one long line, break the command into multiple lines using backslashes (“) to concatenate them.
For example:
“`Dockerfile
RUN curl -L “https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz” | tar -xzvf – &&
mkdir -p “spdlog-${SPDLOG_VERSION}/build” &&
# continue the rest of the command here…
“`
Using multi-line syntax makes it easier to spot errors and improves readability.
5. Debugging: If the issue persists, you may add some debugging statements (e.g., `echo`) in the Dockerfile to get more information about the error and identify where it’s failing.
Remember to carefully review the entire command and ensure that it’s correct, as a single mistake in this lengthy command can lead to the failure.
After applying the necessary fixes, rerun the `docker build` command to see if the issue is resolved.
what is this tryihng to download?
The command is attempting to download and install various dependencies and libraries required for the project during the Docker build process. Let’s break down the command to understand what it’s trying to download and install:
“`shell
curl -L “https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz” | tar -xzvf – &&
mkdir -p “spdlog-${SPDLOG_VERSION}/build” &&
cd “spdlog-${SPDLOG_VERSION}/build” &&
cmake .. &&
make -j8 &&
cmake –install . –prefix /usr &&
mkdir -p “lib/Linux-$(uname -m)/piper_phonemize” &&
cd /build &&
mkdir -p “lib/Linux-$(uname -m)/piper_phonemize” &&
curl -L “https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz” | tar -C “lib/Linux-$(uname -m)/piper_phonemize” -xzvf – &&
ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ &&
ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
“`
Here’s what each part of the command is doing:
1. **Download and Extract SPDLOG Library**:
The command starts with `curl -L “https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz” | tar -xzvf -`. This fetches the SPDLOG library source code archive from the specified GitHub URL, extracts it using `tar`, and places it in a directory named “spdlog-${SPDLOG_VERSION}/build”.
2. **Build and Install SPDLOG Library**:
The subsequent commands `mkdir -p “spdlog-${SPDLOG_VERSION}/build”` and `cd “spdlog-${SPDLOG_VERSION}/build”` create the necessary directory and move into it. Then, `cmake ..` and `make -j8` build the SPDLOG library using CMake and make with eight threads for parallelism. Finally, `cmake –install . –prefix /usr` installs the built library in the system’s `/usr` directory.
3. **Download and Extract Piper-Phonemize Library**:
The command continues with `curl -L “https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz” | tar -C “lib/Linux-$(uname -m)/piper_phonemize” -xzvf -`. This fetches the Piper-Phonemize library binary archive from the specified GitHub URL and extracts it into a directory named “lib/Linux-$(uname -m)/piper_phonemize”.
4. **Copy Library Files to /usr/lib/ and /usr/include/**:
The commands `ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/` and `cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/` list the contents of the “piper_phonemize” directory and then copy all library files (with `.so` extension) to `/usr/lib/`. The command `ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1` creates a symbolic link for the library. The command `cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/` copies header files to `/usr/include/`.
In summary, the command is fetching and installing the SPDLOG and Piper-Phonemize libraries from their respective GitHub URLs and placing the required files in their appropriate locations on the system (e.g., `/usr/lib/` and `/usr/include/`). These libraries may be essential dependencies for the application or project being built in the Docker image.
where do I find more complete error logs in vscode
In Visual Studio Code (VSCode), you can find more complete error logs for various components and extensions in a few different places:
1. **Output Panel**:
VSCode provides an Output panel that displays various logs, including errors, from different extensions and components. To open the Output panel, go to the View menu (or press `Ctrl+Shift+U` or `Cmd+Shift+U` on macOS) and select “Output.” You can then choose from the dropdown list which type of logs you want to see, such as “Tasks,” “Debug Console,” “Terminal,” etc. If an extension or component generates detailed error logs, it might be available in the Output panel.
2. **Integrated Terminal**:
When running tasks, extensions, or other processes within VSCode, you may see detailed error logs in the Integrated Terminal. To open the Integrated Terminal, go to the View menu (or press `Ctrl+``) and select "Terminal." When you run a task or extension that produces error messages, they will be visible in the terminal.
3. **Problems Panel**:
The Problems panel is specifically for viewing issues and errors related to your code. It shows a list of errors, warnings, and other diagnostics detected by linters, compilers, or extensions. You can access the Problems panel by clicking on the "Problems" icon in the activity bar on the side of the window (or press `Ctrl+Shift+M` or `Cmd+Shift+M` on macOS). Here, you'll find a list of all detected errors and warnings in your codebase.
4. **Extension Logs**:
Some extensions may generate their own logs that can be accessed separately. To check if an extension provides detailed logs, you can visit the extension's page in the VSCode Marketplace or look for documentation related to the extension. Some extensions allow you to view their logs directly from the Output panel, while others may have their dedicated logs accessible via commands or settings.
5. **External Logs**:
If the errors you are encountering are related to external processes (e.g., build tools, language servers, etc.), you may need to check the logs for those tools or services outside of VSCode. For example, if you are working with a language server for a specific programming language, you may find its logs in a separate log file or by running the language server in a separate terminal.
Keep in mind that the availability of detailed error logs may depend on the extension, task, or process generating the errors. If you encounter an issue, it's always a good idea to check the specific documentation of the extension or tool you are using to see where to find detailed error logs.
At present I do not want TTS as it is causing errors that I cannot solve. Is this codeblock needed for anyhting other that TTS? :: # piper requirements
# Use pre-compiled Piper phonemization library (includes onnxruntime)
RUN if echo "${GO_TAGS}" | grep -q "tts"; then
RUN test -n "$TARGETARCH"
|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" |
tar -xzvf - &&
mkdir -p "spdlog-${SPDLOG_VERSION}/build" &&
cd "spdlog-${SPDLOG_VERSION}/build" &&
cmake .. &&
make -j8 &&
cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" &&
cd /build &&
mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" &&
curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" |
tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ &&
ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
; fi
Yes, the code block you provided is specifically related to the "Piper phonemization library," which appears to be part of a Text-to-Speech (TTS) system. The block installs dependencies and libraries required for phonemization, a process in TTS that converts textual input into phonemes, which are the basic units of speech sounds.
If you are not using TTS or if TTS is causing errors that you cannot resolve, you may consider excluding this code block from your Dockerfile to avoid installing unnecessary dependencies. Removing this block will prevent the installation of the Piper phonemization library and associated components.
To remove the code block, simply delete the entire block:
```Dockerfile
# piper requirements
RUN if echo "${GO_TAGS}" | grep -q "tts"; then
RUN test -n "$TARGETARCH"
|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" |
tar -xzvf - &&
mkdir -p "spdlog-${SPDLOG_VERSION}/build" &&
cd "spdlog-${SPDLOG_VERSION}/build" &&
cmake .. &&
make -j8 &&
cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" &&
cd /build &&
mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" &&
curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" |
tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ &&
ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 &&
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
; fi
```
After removing the code block, you can rebuild the Docker image without the TTS-related components. This should help avoid any TTS-related errors you were encountering.
Please note that removing this code block may affect TTS functionality if it is essential for your application. If you need TTS functionality but are facing errors, you may want to investigate the specific TTS-related issues and try to resolve them separately before excluding this code block.
What is the reason for the ': fi' ending?
The `: fi` is a part of the shell script syntax and is used to close an `if` statement. In the provided Dockerfile, the script checks whether the variable `${GO_TAGS}` contains the substring "tts". If it does, the subsequent commands are executed, which include downloading and installing the Piper phonemization library.
Let's break down the relevant part of the code:
```Dockerfile
# piper requirements
RUN if echo "${GO_TAGS}" | grep -q "tts"; then
# The commands to be executed if the condition is true go here.
; fi
```
Here's how the script works:
1. `if echo "${GO_TAGS}" | grep -q "tts"; then`: This checks whether the environment variable `${GO_TAGS}` contains the substring "tts". The `echo "${GO_TAGS}"` part prints the value of the `${GO_TAGS}` variable, and `grep -q "tts"` checks if "tts" is present in that output. The `-q` option makes `grep` suppress normal output and only return an exit status. If "tts" is found in the output (i.e., `${GO_TAGS}` contains "tts"), the condition is true, and the subsequent commands inside the `if` block are executed.
2. The subsequent commands (starting from `RUN test -n "$TARGETARCH" ...`) are indented with a backslash (``), which indicates that they are part of the same command block and will be executed together when the `if` condition is true.
3. `; fi`: The `fi` is the closing statement for the `if` block. It marks the end of the conditional code that should be executed if the condition is true. The semicolon (`;`) is used to terminate the previous command.
In summary, the code checks if "tts" is present in the `${GO_TAGS}` environment variable. If it is, the subsequent commands related to installing the Piper phonemization library are executed. The `fi` marks the end of the conditional code block.
If "tts" is not present in the `${GO_TAGS}` variable, the commands following `fi` will not be executed. This way, the code block conditionally installs the Piper phonemization library based on the value of `${GO_TAGS}`.
If I run this script without flags or instructions, does it build ALL of the intructions then? GOCMD=go
GOTEST=$(GOCMD) test
GOVET=$(GOCMD) vet
BINARY_NAME=local-ai
# llama.cpp versions
GOLLAMA_VERSION?=8c51308e42d79e8de2553747b23e74f444b02ae2
# gpt4all version
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
GPT4ALL_VERSION?=91a32c0e84a091ce7e0a3c4d08a058c75c770306
# go-ggml-transformers version
GOGGMLTRANSFORMERS_VERSION?=ffb09d7dd71e2cbc6c5d7d05357d230eea6f369a
# go-rwkv version
RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
RWKV_VERSION?=c898cd0f62df8f2a7830e53d1d513bef4f6f792b
# whisper.cpp version
WHISPER_CPP_VERSION?=85ed71aaec8e0612a84c0b67804bde75aa75a273
# bert.cpp version
BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d
# go-piper version
PIPER_VERSION?=56b8a81b4760a6fbee1a82e62f007ae7e8f010a7
# go-bloomz version
BLOOMZ_VERSION?=1834e77b83faafe912ad4092ccf7f77937349e2f
# stablediffusion version
STABLEDIFFUSION_VERSION?=d89260f598afb809279bc72aa0107b4292587632
# Go-ggllm
GOGGLLM_VERSION?=862477d16eefb0805261c19c9b0d053e3b2b684b
export BUILD_TYPE?=cublas
CGO_LDFLAGS?=
CUDA_LIBPATH?=/usr/lib/cuda/lib64/
GO_TAGS?=stablediffusion
BUILD_ID?=git
VERSION?=$(shell git describe --always --tags || echo "dev" )
go tool nm ./local-ai | grep Commit
LD_FLAGS?=
override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Version=$(VERSION)"
override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
OPTIONAL_TARGETS?=
ESPEAK_DATA?="/usr/share/espeak-data"
OS := $(shell uname -s)
ARCH := $(shell uname -m)
GREEN := $(shell tput -Txterm setaf 2)
YELLOW := $(shell tput -Txterm setaf 3)
WHITE := $(shell tput -Txterm setaf 7)
CYAN := $(shell tput -Txterm setaf 6)
RESET := $(shell tput -Txterm sgr0)
ifndef UNAME_S
UNAME_S := $(shell uname -s)
endif
# workaround for rwkv.cpp
ifeq ($(UNAME_S),Darwin)
CGO_LDFLAGS += -lcblas -framework Accelerate
endif
ifeq ($(BUILD_TYPE),openblas)
CGO_LDFLAGS+=-lopenblas
endif
ifeq ($(BUILD_TYPE),cublas)
CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
export LLAMA_CUBLAS=1
endif
ifeq ($(BUILD_TYPE),metal)
CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
export LLAMA_METAL=1
endif
ifeq ($(BUILD_TYPE),clblas)
CGO_LDFLAGS+=-lOpenCL -lclblast
endif
# glibc-static or glibc-devel-static required
ifeq ($(STATIC),true)
LD_FLAGS=-linkmode external -extldflags -static
endif
ifeq ($(findstring stablediffusion,$(GO_TAGS)),stablediffusion)
# OPTIONAL_TARGETS+=go-stable-diffusion/libstablediffusion.a
OPTIONAL_GRPC+=backend-assets/grpc/stablediffusion
endif
ifeq ($(findstring tts,$(GO_TAGS)),tts)
OPTIONAL_TARGETS+=go-piper/libpiper_binding.a
OPTIONAL_TARGETS+=backend-assets/espeak-ng-data
OPTIONAL_GRPC+=backend-assets/grpc/piper
endif
.PHONY: all test build vendor
all: help
## GPT4ALL
gpt4all:
git clone --recurse-submodules $(GPT4ALL_REPO) gpt4all
cd gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
## go-ggllm
go-ggllm:
git clone --recurse-submodules https://github.com/mudler/go-ggllm.cpp go-ggllm
cd go-ggllm && git checkout -b build $(GOGGLLM_VERSION) && git submodule update --init --recursive --depth 1
go-ggllm/libggllm.a: go-ggllm
$(MAKE) -C go-ggllm BUILD_TYPE=$(BUILD_TYPE) libggllm.a
## go-piper
go-piper:
git clone --recurse-submodules https://github.com/mudler/go-piper go-piper
cd go-piper && git checkout -b build $(PIPER_VERSION) && git submodule update --init --recursive --depth 1
## BERT embeddings
go-bert:
git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp go-bert
cd go-bert && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
## stable diffusion
go-stable-diffusion:
git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion go-stable-diffusion
cd go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
go-stable-diffusion/libstablediffusion.a:
$(MAKE) -C go-stable-diffusion libstablediffusion.a
## RWKV
go-rwkv:
git clone --recurse-submodules $(RWKV_REPO) go-rwkv
cd go-rwkv && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
go-rwkv/librwkv.a: go-rwkv
cd go-rwkv && cd rwkv.cpp && cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF && cmake --build . && cp librwkv.a ..
## bloomz
bloomz:
git clone --recurse-submodules https://github.com/go-skynet/bloomz.cpp bloomz
cd bloomz && git checkout -b build $(BLOOMZ_VERSION) && git submodule update --init --recursive --depth 1
bloomz/libbloomz.a: bloomz
cd bloomz && make libbloomz.a
go-bert/libgobert.a: go-bert
$(MAKE) -C go-bert libgobert.a
backend-assets/gpt4all: gpt4all/gpt4all-bindings/golang/libgpt4all.a
mkdir -p backend-assets/gpt4all
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.so backend-assets/gpt4all/ || true
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
backend-assets/espeak-ng-data:
mkdir -p backend-assets/espeak-ng-data
ifdef ESPEAK_DATA
@cp -rf $(ESPEAK_DATA)/. backend-assets/espeak-ng-data
else
@echo "ESPEAK_DATA not set, skipping tts. Note that this will break the tts functionality."
@touch backend-assets/espeak-ng-data/keep
endif
gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
## CEREBRAS GPT
go-ggml-transformers:
git clone --recurse-submodules https://github.com/go-skynet/go-ggml-transformers.cpp go-ggml-transformers
cd go-ggml-transformers && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
go-ggml-transformers/libtransformers.a: go-ggml-transformers
$(MAKE) -C go-ggml-transformers BUILD_TYPE=$(BUILD_TYPE) libtransformers.a
whisper.cpp:
git clone https://github.com/ggerganov/whisper.cpp.git
cd whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
whisper.cpp/libwhisper.a: whisper.cpp
cd whisper.cpp && make libwhisper.a
go-llama:
git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
go-llama/libbinding.a: go-llama
$(MAKE) -C go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
go-piper/libpiper_binding.a:
$(MAKE) -C go-piper libpiper_binding.a example/main
get-sources: go-llama go-ggllm go-ggml-transformers gpt4all go-piper go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion
touch $@
replace:
$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
$(GOCMD) mod edit -replace github.com/go-skynet/go-ggml-transformers.cpp=$(shell pwd)/go-ggml-transformers
$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(shell pwd)/whisper.cpp
$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(shell pwd)/go-bert
$(GOCMD) mod edit -replace github.com/go-skynet/bloomz.cpp=$(shell pwd)/bloomz
$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(shell pwd)/go-stable-diffusion
$(GOCMD) mod edit -replace github.com/mudler/go-piper=$(shell pwd)/go-piper
$(GOCMD) mod edit -replace github.com/mudler/go-ggllm.cpp=$(shell pwd)/go-ggllm
prepare-sources: get-sources replace
$(GOCMD) mod download
## GENERIC
rebuild: ## Rebuilds the project
$(GOCMD) clean -cache
$(MAKE) -C go-llama clean
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
$(MAKE) -C go-ggml-transformers clean
$(MAKE) -C go-rwkv clean
$(MAKE) -C whisper.cpp clean
$(MAKE) -C go-stable-diffusion clean
$(MAKE) -C go-bert clean
$(MAKE) -C bloomz clean
$(MAKE) -C go-piper clean
$(MAKE) -C go-ggllm clean
$(MAKE) build
prepare: prepare-sources $(OPTIONAL_TARGETS)
touch $@
clean: ## Remove build related file
$(GOCMD) clean -cache
rm -f prepare
rm -rf ./go-llama
rm -rf ./gpt4all
rm -rf ./go-gpt2
rm -rf ./go-stable-diffusion
rm -rf ./go-ggml-transformers
rm -rf ./backend-assets
rm -rf ./go-rwkv
rm -rf ./go-bert
rm -rf ./bloomz
rm -rf ./whisper.cpp
rm -rf ./go-piper
rm -rf ./go-ggllm
rm -rf $(BINARY_NAME)
rm -rf release/
## Build:
build: grpcs prepare ## Build the project
$(info ${GREEN}I local-ai build info:${RESET})
$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
dist: build
mkdir -p release
cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH)
## Run
run: prepare ## run local-ai
CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./
test-models/testmodel:
mkdir test-models
mkdir test-dir
wget https://huggingface.co/nnakasato/ggml-model-test/resolve/main/ggml-model-q4.bin -O test-models/testmodel
wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
wget https://huggingface.co/mudler/rwkv-4-raven-1.5B-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%2525-Other1%2525-20230425-ctx4096_Q4_0.bin -O test-models/rwkv
wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
cp tests/models_fixtures/* test-models
prepare-test: grpcs
cp -rf backend-assets api
cp tests/models_fixtures/* test-models
test: prepare test-models/testmodel grpcs
@echo 'Running tests'
export GO_TAGS="tts stablediffusion"
$(MAKE) prepare-test
HUGGINGFACE_GRPC=$(abspath ./)/extra/grpc/huggingface/huggingface.py TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama" --flake-attempts 5 -v -r ./api ./pkg
$(MAKE) test-gpt4all
$(MAKE) test-llama
$(MAKE) test-tts
$(MAKE) test-stablediffusion
test-gpt4all: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="gpt4all" --flake-attempts 5 -v -r ./api ./pkg
test-llama: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts 5 -v -r ./api ./pkg
test-tts: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="tts" --flake-attempts 1 -v -r ./api ./pkg
test-stablediffusion: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stablediffusion" --flake-attempts 1 -v -r ./api ./pkg
test-container:
docker build --target requirements -t local-ai-test-container .
docker run -ti --rm --entrypoint /bin/bash -ti -v $(abspath ./):/build local-ai-test-container
## Help:
help: ## Show this help.
@echo ''
@echo 'Usage:'
@echo ' ${YELLOW}make${RESET} ${GREEN}${RESET}'
@echo ''
@echo 'Targets:'
@awk 'BEGIN {FS = ":.*?## "} {
if (/^[a-zA-Z_-]+:.*?##.*$$/) {printf " ${YELLOW}%-20s${GREEN}%s${RESET}n", $$1, $$2}
else if (/^## .*$$/) {printf " ${CYAN}%s${RESET}n", substr($$1,4)}
}' $(MAKEFILE_LIST)
protogen: protogen-go protogen-python
protogen-go:
protoc --go_out=. --go_opt=paths=source_relative --go-grpc_out=. --go-grpc_opt=paths=source_relative
pkg/grpc/proto/backend.proto
protogen-python:
python -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/huggingface/ --grpc_python_out=extra/grpc/huggingface/ pkg/grpc/proto/backend.proto
## GRPC
backend-assets/grpc:
mkdir -p backend-assets/grpc
backend-assets/grpc/falcon: backend-assets/grpc go-ggllm/libggllm.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggllm LIBRARY_PATH=$(shell pwd)/go-ggllm
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/falcon ./cmd/grpc/falcon/
backend-assets/grpc/llama: backend-assets/grpc go-llama/libbinding.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-llama LIBRARY_PATH=$(shell pwd)/go-llama
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama ./cmd/grpc/llama/
# TODO: every binary should have its own folder instead, so can have different metal implementations
ifeq ($(BUILD_TYPE),metal)
cp go-llama/build/bin/ggml-metal.metal backend-assets/grpc/
endif
backend-assets/grpc/gpt4all: backend-assets/grpc backend-assets/gpt4all gpt4all/gpt4all-bindings/golang/libgpt4all.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/gpt4all/gpt4all-bindings/golang/ LIBRARY_PATH=$(shell pwd)/gpt4all/gpt4all-bindings/golang/
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gpt4all ./cmd/grpc/gpt4all/
backend-assets/grpc/dolly: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/dolly ./cmd/grpc/dolly/
backend-assets/grpc/gpt2: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gpt2 ./cmd/grpc/gpt2/
backend-assets/grpc/gptj: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gptj ./cmd/grpc/gptj/
backend-assets/grpc/gptneox: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gptneox ./cmd/grpc/gptneox/
backend-assets/grpc/mpt: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/mpt ./cmd/grpc/mpt/
backend-assets/grpc/replit: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/replit ./cmd/grpc/replit/
backend-assets/grpc/falcon-ggml: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/falcon-ggml ./cmd/grpc/falcon-ggml/
backend-assets/grpc/starcoder: backend-assets/grpc go-ggml-transformers/libtransformers.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggml-transformers LIBRARY_PATH=$(shell pwd)/go-ggml-transformers
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/starcoder ./cmd/grpc/starcoder/
backend-assets/grpc/rwkv: backend-assets/grpc go-rwkv/librwkv.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-rwkv LIBRARY_PATH=$(shell pwd)/go-rwkv
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/rwkv ./cmd/grpc/rwkv/
backend-assets/grpc/bloomz: backend-assets/grpc bloomz/libbloomz.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/bloomz LIBRARY_PATH=$(shell pwd)/bloomz
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bloomz ./cmd/grpc/bloomz/
backend-assets/grpc/bert-embeddings: backend-assets/grpc go-bert/libgobert.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-bert LIBRARY_PATH=$(shell pwd)/go-bert
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bert-embeddings ./cmd/grpc/bert-embeddings/
backend-assets/grpc/langchain-huggingface: backend-assets/grpc
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/langchain-huggingface ./cmd/grpc/langchain-huggingface/
backend-assets/grpc/stablediffusion: backend-assets/grpc go-stable-diffusion/libstablediffusion.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-stable-diffusion/ LIBRARY_PATH=$(shell pwd)/go-stable-diffusion/
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion ./cmd/grpc/stablediffusion/
backend-assets/grpc/piper: backend-assets/grpc backend-assets/espeak-ng-data go-piper/libpiper_binding.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(shell pwd)/go-piper
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./cmd/grpc/piper/
backend-assets/grpc/whisper: backend-assets/grpc whisper.cpp/libwhisper.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/whisper.cpp LIBRARY_PATH=$(shell pwd)/whisper.cpp
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./cmd/grpc/whisper/
grpcs: prepare backend-assets/grpc/langchain-huggingface backend-assets/grpc/falcon-ggml backend-assets/grpc/bert-embeddings backend-assets/grpc/falcon backend-assets/grpc/bloomz backend-assets/grpc/llama backend-assets/grpc/gpt4all backend-assets/grpc/dolly backend-assets/grpc/gpt2 backend-assets/grpc/gptj backend-assets/grpc/gptneox backend-assets/grpc/mpt backend-assets/grpc/replit backend-assets/grpc/starcoder backend-assets/grpc/rwkv backend-assets/grpc/whisper $(OPTIONAL_GRPC)
The provided script is a `Makefile` that automates the build process for a Go-based project called "local-ai." The `Makefile` contains various targets and variables to manage dependencies, build options, and running tests. Running this script with specific targets will perform different tasks, such as building the project, running tests, and generating protocol buffer files for gRPC.
Here's a brief overview of the main targets and their functionalities:
1. `all`: It's a dummy target, and running `make all` will show the available targets.
2. `build`: This target builds the project, producing the executable binary `local-ai`.
3. `run`: This target runs the project.
4. `test`: This target runs the tests for the project. It includes different sub-targets for testing different components of the project, such as GPT4ALL, Llama, TTS (Text-to-Speech), and Stable Diffusion.
5. `prepare`: This target prepares the project's source code, gets external sources, and replaces dependencies with local paths.
6. `clean`: This target removes build-related files.
7. `help`: This target displays a list of available targets and their descriptions.
8. `protogen`: This target generates Go and Python code from the Protocol Buffer definitions found in `pkg/grpc/proto/backend.proto`.
9. `grpcs`: This target builds gRPC clients for various backends, including Falcon, GPT-2, GPT-NeoX, Dolly, etc.
10. Targets for building specific external components, such as GPT4ALL, Llama, Go-Bert, Whisper.cpp, etc.
Please note that some of the targets rely on external repositories to fetch their source code (`git clone`) and are stored in separate directories like `go-llama`, `gpt4all`, `go-ggml-transformers`, etc. These components are built separately and their compiled libraries are then linked during the project build process.
To use the `Makefile`, you can run specific targets like `make build` to build the project or `make test` to run the tests. Additionally, you can run `make help` to see the complete list of available targets along with their descriptions. Remember to check the provided `Makefile` for more details on specific targets and their dependencies.
Sounds like I should run 'prepare' first
Yes, running `make prepare` is typically the first step you would take. The `prepare` target is responsible for getting external sources, fetching the source code of various external components (like GPT4ALL, Llama, Go-Bert, Whisper.cpp, etc.), and replacing dependencies with local paths. This ensures that all the required components are present and prepared before you proceed with building or testing the project.
Before running `make prepare`, make sure that you have all the necessary prerequisites installed, such as Go (Golang), Git, and any other dependencies required by the external components.
To run the `prepare` target, simply execute the following command in your terminal or command prompt:
```
make prepare
```
Once the preparation step is complete, you can proceed with other tasks like building the project (`make build`), running tests (`make test`), or any other targets you need based on your requirements.
my vscode wsl ubuntu has no comand prompt
In Visual Studio Code on WSL (Windows Subsystem for Linux) with Ubuntu, you can use the integrated terminal to run commands. Here's how to open the integrated terminal:
1. Open Visual Studio Code.
2. Click on the "View" menu in the top menu bar.
3. Select "Terminal" from the dropdown menu.
4. In the terminal window that opens at the bottom of the screen, you will see the Ubuntu bash prompt (e.g., `user@hostname:~$`).
5. Now, you can run your commands in the integrated terminal.
Once you have the integrated terminal open, you can navigate to the directory containing the project's `Makefile` and run the `make` commands as needed. For example, you can run `make prepare` by typing `make prepare` and pressing Enter.
Note: Make sure you are in the correct directory where the `Makefile` is located. You can use the `cd` command to change directories if needed.
If you encounter any specific issues or errors while running the `make` commands, feel free to ask for further assistance, and I'll be glad to help!
There ios nothing in the command windoiws no command prompt
I apologize for the confusion. It seems there might be an issue with the terminal in your Visual Studio Code setup. Let's try a few troubleshooting steps to resolve this:
1. **Ensure Integrated Terminal is Enabled:**
- Open Visual Studio Code.
- Click on the "View" menu in the top menu bar.
- Select "Terminal" from the dropdown menu.
- If "Terminal" is not selected, click on it to enable the integrated terminal.
2. **Restart Visual Studio Code:**
- Close Visual Studio Code completely.
- Reopen Visual Studio Code and try accessing the integrated terminal again.
3. **Check Default Shell:**
- In Visual Studio Code, press `Ctrl + Shift + P` (or `Cmd + Shift + P` on macOS) to open the command palette.
- Type "Select Default Shell" and choose the appropriate shell (e.g., "WSL Bash") from the list.
4. **Try Different Shell:**
- If the integrated terminal still doesn't work, try changing the default shell to a different one (e.g., PowerShell) to see if it works with other shells.
5. **Check WSL Installation:**
- Ensure that you have WSL (Windows Subsystem for Linux) properly installed on your system, and the Ubuntu distribution is configured correctly.
6. **Check VS Code Extensions:**
- Sometimes, extensions can interfere with the terminal. Disable any terminal-related extensions temporarily and check if the issue persists.
7. **Reinstall VS Code (Optional):**
- As a last resort, you can try reinstalling Visual Studio Code to ensure a clean installation.
If none of the above steps resolve the issue, please provide more information about your setup and any error messages you might be seeing. Additionally, you can try running the commands outside of Visual Studio Code in the native terminal to see if the issue persists there.
Let me know how it goes, and I'll be happy to assist further!