I already have another conatiner called ollama/ollama:latest. an I semply chage the names in the compose file to a different name? ollama:
image: ollama/ollama:latest
ports:
– 11434:11434
volumes:
– .:/code
– ./ollama/ollama:/root/.ollama
– ./start-ollama.sh:/start-ollama.sh
container_name: ollama
Yes, you can change the container name in your Docker Compose file to a different name by modifying the `container_name` field. If you already have a container named `ollama`, and you want to use a different name for your new container, simply change the `container_name` value to the desired name.

For example, if you want to rename your container to `new_ollama`, you would modify your Docker Compose file like this:

“`yaml
new_ollama:
image: ollama/ollama:latest
ports:
– 11434:11434
volumes:
– .:/code
– ./ollama/ollama:/root/.ollama
– ./start-ollama.sh:/start-ollama.sh
container_name: new_ollama
“`

In this modified configuration:

– `new_ollama` is the new name for your container.
– `image` remains the same (`ollama/ollama:latest`).
– `ports`, `volumes`, and other settings can stay unchanged unless you have specific adjustments to make.

After updating your Docker Compose file, you can bring up your container with the new name by running:

“`bash
docker-compose up -d
“`

This command will recreate your container with the new name (`new_ollama`) based on the updated configuration in your Compose file.
tipperollama | /start-ollama.sh: 20: Syntax error: end of file unexpected (expecting “then”)
The error message you’re encountering (`Syntax error: end of file unexpected (expecting “then”)`) suggests there is a syntax issue in your `start-ollama.sh` script, specifically around an `if` statement.

Here are a few steps to troubleshoot and resolve this issue:

1. **Check the Script Syntax**: Open `start-ollama.sh` in a text editor and verify that all `if` statements have the correct syntax. An `if` statement typically looks like this:

“`bash
if [ condition ]; then
# code to execute if condition is true
fi
“`

Ensure that each `if` statement in your script follows this structure with proper `then` and `fi` keywords.

2. **Look for Missing or Mismatched Syntax**: Pay attention to any missing or extra `then` or `fi` keywords. Each `if` statement should have a corresponding `then` followed by a `fi` to denote the end of the block.

3. **Check for Typos or Special Characters**: Sometimes syntax errors can be caused by typos or unintended special characters in the script. Review the script carefully for any such issues.

4. **Test the Script**: Run your script manually outside of Docker to see if you encounter the same error. This will help isolate whether the issue is with the script itself or how it’s being executed within the Docker container.

5. **Use Shell Check Tools**: Consider using tools like `shellcheck` (https://www.shellcheck.net/) to analyze your script for syntax errors and provide suggestions for improvements.

Once you’ve identified and fixed the syntax issue in your script, update the `start-ollama.sh` file in your Docker environment and try running your container again to see if the problem is resolved. If you need further assistance, feel free to share the relevant parts of your script for more targeted advice.
Ok, I must change the p-reprompt or role of this model as it is generic. Where in the files should I serach for this?
To modify the behavior or role of a model like this, you’ll need to look into the configuration or script files that govern its behavior. Specifically, if you’re working with a Docker container or similar environment where this model is deployed, you should focus on the following areas:

1. **Configuration Files**:
– **Docker Compose File**: Check the Docker Compose file (`docker-compose.yml`) or any related configuration files that define how the container is set up. Look for environment variables or settings that might influence the model’s behavior or role.

2. **Startup Scripts**:
– **Entry Point Script**: Often, Docker containers use an entry point script (`entrypoint.sh` or similar) to initialize services or execute commands when the container starts. Look into this script to understand how the model is being launched and if there are parameters you can adjust.

3. **Environment Variables**:
– **Environment Variable Settings**: Check if there are specific environment variables being set in the Docker Compose file or within the container that control aspects of the model’s behavior. These variables might dictate the model’s role or behavior.

4. **Model Configuration**:
– **Model Specific Configuration Files**: Some models might have specific configuration files (`config.json`, `settings.yml`, etc.) that define their behavior. Look for these files within the container’s filesystem or in mounted volumes.

5. **Model Source Code**:
– **Model Source Code Modifications**: If you have access to the model’s source code, you might need to modify the actual code to change its behavior. This could involve adjusting role definitions, input processing, or output formatting.

6. **Logs and Output**:
– **Log Analysis**: Review the logs (`docker logs `) to understand how the model is currently operating. This can provide insights into what aspects of the model’s behavior need to be modified.

To make specific changes to the model’s role or behavior:

– Identify the desired modifications based on your requirements (e.g., changing response patterns, adjusting input processing).
– Locate the appropriate files or settings that control these aspects within the container environment.
– Make the necessary changes to these files or settings.
– Restart the container (`docker-compose restart `) to apply the changes.

If you can provide more details about the specific model or environment you’re working with (e.g., Docker setup, model type), I can offer more tailored advice on where to look and how to proceed with making these modifications.
Do you see in here where it tell me how to use this other than install it? Say this is a minimalist template that I can modify,
Do you see in here where it tell me how to use this other than install it? Say this is a minimalist template that I can modify, Minimalistic Interface for Local Language Models (LLMs) (Powered by Ollama)
Introduction
https://github.com/richawo/minimal-llm-ui/assets/35015261/666053ed-cba8-45a6-9a96-ff8b2b525dbd

This minimalistic UI is designed to act as a simple interface for Ollama models, allowing you to chat with your models, save conversations and toggle between different ones easily. The tool is built using React, Next.js, and Tailwind CSS, with LangchainJs and Ollama providing the magic behind the scenes.

Features
Chat with Local Language Models (LLMs): Interact with your LLMs in real-time through our user-friendly interface.
Model Toggling: Switch between different LLMs easily (even mid conversation), allowing you to experiment and explore different models for various tasks.
Memory-based Context Storage: Keep track of context in memory, ensuring smooth interactions even when switching between models.
Conversation History: Save conversations in a local database, allowing you revisit them at a later date.
Prompt Templating: Create parameter driven prompt templates to improve reuse.
Technical Details
Built using React, Next.js, and Tailwind CSS for a clean and modern design.
Utilizes LangchainJs and Ollama for seamless integration with Local Language Models (LLMs).
Stores context in memory for efficient model switching.
Getting Started
Download and run Ollama on your machine with ollama serve or ollama run (it will run at: http://localhost:11434/)

Open a new terminal and navigate to the root of this project.

Install the dependencies npm install in your terminal.

Also check whether your node by doing:

node -v
If it is less than 14.0.1.
You can do this to update it:

Install n using npm (Node.js package manager):

bash:

npm install -g n
Use n to install a specific Node.js version:
bash:

n 20.0.9
Verify the Node.js version:

bash
node -v
Start the tool by running npm run dev (it should be available in your web browser at http://localhost:3000)
To-do
Add edit message icon for user messages
Summarise conversations
Incorporate visualisations
Convert to desktop app so that it can be more powerful
Command menu should allow for saving new prompt templates directly from there
Command menu should let you edit + delete existing prompts
Troubleshooting
If you encounter any issues, feel free to reach out!

License
This project is licensed under the MIT License. See LICENSE file for details.
It sounds like you’re working with a minimalist template that you want to modify or use beyond just installing it. If you’re looking for instructions on how to use or customize this template, here’s a step-by-step approach to finding that information:

1. **Read the README File**:
– Look for a `README.md` file in the template’s directory. This file often contains essential instructions on how to use the template, what it includes, and how to customize it.
– Use a text editor or command-line tools to view the contents of this file (`cat README.md` or open it in a text editor).

2. **Check for Documentation Files**:
– Look for any documentation files included with the template. This might include a `docs/` directory or specific `.txt` or `.pdf` files that provide usage instructions.
– Navigate through these documentation files to understand how to get started with the template and what customization options are available.

3. **Explore Configuration Files**:
– Examine the template’s directory structure for configuration files or sample files that demonstrate usage.
– Pay attention to files like `config.yml`, `settings.json`, or similar, which might contain parameters you can modify to customize the template’s behavior.

4. **Review Code and Comments**:
– If you’re comfortable with programming or scripting, explore the actual code files (e.g., `.py`, `.sh`, `.js`) included in the template.
– Look for inline comments within the code that explain how different parts of the template work and how they can be adapted.

5. **Search Online Resources**:
– Use search engines or online platforms (like GitHub) to find the template’s repository or related discussions.
– Often, repositories include issues, discussions, or wiki pages that provide additional context on how
To understand how to use and modify the minimalistic UI for Local Language Models (LLMs) powered by Ollama, follow these steps based on the information provided:

1. **Installation and Setup**:
– Download and run Ollama on your machine using either `ollama serve` or `ollama run `. This will start Ollama locally, typically at `http://localhost:11434/`.
– Navigate to the root of the minimalistic UI project in your terminal.
– Install project dependencies by running `npm install`.

2. **Node.js Version Compatibility**:
– Check your Node.js version using `node -v`. If it’s less than 14.0.1, update it by installing `n` (Node.js version manager) globally using `npm install -g n`. Then, use `n` to install a specific Node.js version, for example: `n 20.0.9`.
– Verify the Node.js version again with `node -v` to ensure the update was successful.

3. **Running the Minimalistic UI**:
– Start the UI tool by running `npm run dev`. This will launch the UI in your web browser at `http://localhost:3000`.

4. **Usage and Customization**:
– Once the UI is running, you should be able to interact with your Local Language Models (LLMs) through the user-friendly interface.
– Explore the provided features such as model toggling, conversation history, and prompt templating.
– To modify the UI or add new features:
– Navigate to the project files and modify the React components within the `pages` directory for different UI views.
– Customize styles using Tailwind CSS classes.
– Implement additional functionality using React and Next.js as needed.

5. **To-Do List**:
– Review the project’s to-do list to understand planned enhancements or features that you might want to contribute to or customize.

6. **Troubleshooting**:
– If you encounter any issues while using or modifying the UI, refer to the troubleshooting section or reach out to the project maintainers for assistance.

7. **License**:
– Respect the project’s MIT License terms outlined in the `LICENSE` file.

To summarize, you can use this minimalistic UI as a starting point to interact with and customize your Local Language Models powered by Ollama. Explore the provided features, leverage the technical stack (React, Next.js, Tailwind CSS), and refer to the project’s structure and documentation to extend or modify its functionality according to your requirements.
Yes, this was the hardest part to get a connection! Glad that is done, Now I have this: “use client”;

// create an interface for the prompt template
interface PromptTemplate {
name: string;
content: string;
inputs: string[];
}

import { createContext, useContext, useEffect, useState } from “react”;

const PromptsContext = createContext(null);

export function usePrompts() {
return useContext(PromptsContext);
}

export function PromptsProvider({ children }: { children: React.ReactNode }) {
const [promptTemplate, setPromptTemplate] = useState([]);

//add a state to manage the active prompt template
const [activePromptTemplate, setActivePromptTemplate] =
useState();

// Load prompts from local storage on component mount
useEffect(() => {
updatePromptTemplate();
}, []);

function updatePromptTemplate() {
const storedPromptsString = localStorage.getItem(“prompts”);

if (storedPromptsString) {
const storedPrompts = JSON.parse(storedPromptsString);
setPromptTemplate(storedPrompts);
}
}

function addPromptTemplate(prompt: {
name: string;
content: string;
inputs: string[];
}) {
const newPromptTemplate = […promptTemplate, prompt];
setPromptTemplate(newPromptTemplate);
localStorage.setItem(“prompts”, JSON.stringify(newPromptTemplate));
}

const value = {
promptTemplate,
updatePromptTemplate,
addPromptTemplate,
activePromptTemplate,
setActivePromptTemplate,
};

return (
{children}
);
}

It looks like you have a React context (`PromptsContext`) and provider (`PromptsProvider`) set up to manage prompt templates within your application. Let’s break down what each part of this code does:

### Code Explanation:

1. **Import Statements**:
– `useContext`, `useEffect`, `useState`: These are React hooks imported from `”react”` that allow you to manage state and side effects within functional components.

2. **Context Creation**:
– `PromptsContext`: This is a React context created using `createContext`. It initializes with a default value of `null`.

3. **Custom Hooks**:
– `usePrompts`: This custom hook utilizes `useContext` to access the value provided by `PromptsContext`. It allows components to subscribe to changes in the prompt templates.

4. **Provider Component** (`PromptsProvider`):
– This component is responsible for managing and providing prompt-related state and functions to child components via the `PromptsContext.Provider`.
– It maintains state (`promptTemplate`, `activePromptTemplate`) using `useState` hooks.
– It loads prompt templates from `localStorage` on component mount (`useEffect` with empty dependency array `[]`).
– It provides functions (`updatePromptTemplate`, `addPromptTemplate`) to update and manage prompt templates.

### Functions:

– **`updatePromptTemplate()`**:
– Retrieves prompt templates from `localStorage` and updates the state (`promptTemplate`) accordingly.

– **`addPromptTemplate(prompt: { name: string; content: string; inputs: string[]; })`**:
– Adds a new prompt template to the existing list of prompt templates (`promptTemplate` state).
– Persists the updated prompt templates to `localStorage`.

### Usage Example:

To use this context and provider in your React components:

“`jsx
import React from “react”;
import { usePrompts, PromptsProvider } from “./path/to/PromptsProvider”;

function MyComponent() {
const { promptTemplate, addPromptTemplate } = usePrompts();

const handleAddPrompt = () => {
const newPrompt = {
name: “New Prompt”,
content: “Enter prompt content here”,
inputs: [“input1”, “input2”],
};

addPromptTemplate(newPrompt);
};

return (

);
}

function App() {
return (

);
}

export default App;
“`

In this example:

– `MyComponent` uses the `usePrompts` hook to access `promptTemplate` and `addPromptTemplate` from the context.
– Clicking the “Add Prompt” button triggers `handleAddPrompt`, which adds a new prompt template and updates the state.
– `App` wraps `MyComponent` with `PromptsProvider` to provide the prompt-related context to all descendant components (`MyComponent` in this case).

Make sure to replace `”./path/to/PromptsProvider”` with the correct path to where `PromptsProvider` is located in your project.

You can integrate this context and provider into your application to manage prompt templates and interact with them using React components. Adjust the structure and behavior as needed based on your application requirements.
Is there a place where I keep the texts for these templates? This look like it picks up a file ‘prompts’ and ?
Based on the provided code snippet and context, it appears that the prompt templates are being stored in the browser’s `localStorage`. The `localStorage` is a built-in feature of web browsers that allows web applications to store key-value pairs locally within the user’s browser. This is a convenient way to persist data across sessions without using server-side storage.

In your React application, the prompt templates are stored and retrieved from `localStorage` using the key `”prompts”`. Let’s break down how this works:

### Storage of Prompt Templates:

– **Saving Prompt Templates**:
When you add a new prompt template using the `addPromptTemplate` function, it updates the `promptTemplate` state and then saves the updated list of prompt templates to `localStorage`. The `localStorage.setItem(“prompts”, JSON.stringify(newPromptTemplate))` line converts the `newPromptTemplate` array to a JSON string and stores it under the key `”prompts”`.

– **Retrieving Prompt Templates**:
The `updatePromptTemplate` function is called when the component mounts (`useEffect(() => { … }, [])`). This function retrieves the stored prompt templates from `localStorage` using `localStorage.getItem(“prompts”)`. If there are stored prompt templates available (`storedPromptsString` is not `null` or `undefined`), it parses the JSON string back into an array of prompt templates and updates the `promptTemplate` state with these values.

### Where Are Prompt Templates Stored?

Prompt templates are stored in the browser’s `localStorage`, which is specific to the domain and browser being used. Each browser maintains its own `localStorage` for each domain.

To view the stored prompt templates in your browser:

1. **Open Developer Tools**:
– Right-click on the web page and select “Inspect” or press `F12` to open the Developer Tools.

2. **Navigate to the Application Tab**:
– In the Developer Tools, locate and click on the “Application” tab.

3. **View `localStorage`**:
– On the left sidebar of the Application tab, expand “Storage” and then select `localStorage`.
– Here, you should see the key-value pairs stored by your web application, including the `”prompts”` key with the JSON string representation of your prompt templates.

### Additional Notes:

– **Persistence Across Sessions**:
Data stored in `localStorage` persists even when the user closes the browser or navigates away from the page. It remains accessible until explicitly cleared by the user or removed programmatically.

– **JSON Serialization**:
Prompt templates are serialized to JSON (`JSON.stringify`) before storing and deserialized (`JSON.parse`) when retrieved from `localStorage`.

– **Backup and Security**:
Remember that `localStorage` is accessible to JavaScript running within the same domain, so avoid storing sensitive information unless it’s encrypted or properly secured.

To summarize, the prompt templates used in your application are stored locally in the user’s browser using `localStorage`. They are retrieved and updated within your React components using the functions provided (`addPromptTemplate`, `updatePromptTemplate`) and managed through the `promptTemplate` state. You can inspect and manage these stored prompt templates using the browser’s Developer Tools under the `localStorage` section.
So I have to change th epromptcontext.tsx everytime I want a different prompt?
To use different prompts with your application, you typically don’t need to modify the `promptContext.tsx` file directly every time you want to switch or add prompts. Instead, you can dynamically manage prompts within your application using the provided functions and state management techniques. Let’s break down how you can achieve this without modifying the `promptContext.tsx` file repeatedly:

### Adding or Switching Prompts Dynamically:

1. **Using `addPromptTemplate` Function**:
– To add a new prompt template dynamically, you can call the `addPromptTemplate` function provided by the context. This function allows you to add a new prompt template with specified `name`, `content`, and `inputs`.
– Example:
“`javascript
const { addPromptTemplate } = usePrompts();

const handleAddPrompt = () => {
const newPrompt = {
name: “New Prompt”,
content: “Enter prompt content here”,
inputs: [“input1”, “input2”],
};

addPromptTemplate(newPrompt);
};
“`

2. **Setting Active Prompt Template**:
– You can manage the active prompt template using the `activePromptTemplate` state provided by the context.
– Example:
“`javascript
const { activePromptTemplate, setActivePromptTemplate } = usePrompts();

// Set a specific prompt template as active
const setSpecificPromptActive = (prompt) => {
setActivePromptTemplate(prompt);
};
“`

3. **Dynamic Prompt Usage in Components**:
– Use the `promptTemplate` state from the context to dynamically render or interact with different prompt templates within your components.
– Example:
“`javascript
const { promptTemplate } = usePrompts();

return (

);
“`

### Switching Prompts Based on User Interaction:

– Implement UI controls or logic within your components to allow users to switch between different prompt templates.
– Use the `activePromptTemplate` state to dynamically render the active prompt template within your UI.

### Adding New Prompts:

– Use the `addPromptTemplate` function to add new prompts programmatically based on user actions, external events, or application logic.
– Avoid modifying the `promptContext.tsx` file directly for each new prompt. Instead, leverage the provided functions and states within your components to manage prompts dynamically.

### Conclusion:

By leveraging the functions and state management provided by the `PromptsContext` and `PromptsProvider`, you can dynamically manage prompt templates within your React application without the need to modify the `promptContext.tsx` file every time you want to add or switch prompts. Implement user-friendly controls and interactions to facilitate prompt management based on your application’s requirements and user needs. This approach promotes flexibility and maintainability of your application’s prompt management system.
SO How do i add the first prompt?
To add the first prompt using the setup you have with the `PromptsProvider` and associated context, you can follow these steps:

1. **Access `addPromptTemplate` Function**:
First, make sure you have access to the `addPromptTemplate` function from the `usePrompts` hook within a component where you want to initiate adding the prompt.

“`javascript
import React from “react”;
import { usePrompts } from “./path/to/PromptsProvider”;

function MyComponent() {
const { addPromptTemplate } = usePrompts();

// Function to add the initial prompt
const addInitialPrompt = () => {
const initialPrompt = {
name: “Welcome Prompt”,
content: “Hello! How can I assist you today?”,
inputs: [“user_message”],
};

addPromptTemplate(initialPrompt);
};

return (

);
}

export default MyComponent;
“`

2. **Define the Initial Prompt**:
Inside the `addInitialPrompt` function, define the details of your initial prompt. This includes specifying a `name` for the prompt, the `content` of the prompt (the message displayed to the user), and the `inputs` expected from the user (e.g., an input field named `”user_message”`).

3. **Trigger Adding the Prompt**:
Render a component or UI element (e.g., a button) in your application that, when clicked or triggered, calls the `addInitialPrompt` function. This will add the specified prompt to your application’s prompt templates.

4. **View and Interact with the Added Prompt**:
After adding the initial prompt, you can view and interact with it based on your application’s logic and UI rendering. For example, you might display the prompt to the user and handle user inputs accordingly.

### Example Usage:

Here’s how you can use the `MyComponent` to add the initial prompt when a button is clicked:

“`javascript
import React from “react”;
import { usePrompts } from “./path/to/PromptsProvider”;

function MyComponent() {
const { addPromptTemplate } = usePrompts();

const addInitialPrompt = () => {
const initialPrompt = {
name: “Welcome Prompt”,
content: “Hello! How can I assist you today?”,
inputs: [“user_message”],
};

addPromptTemplate(initialPrompt);
};

return (

);
}

export default MyComponent;
“`

In this example:

– `MyComponent` imports the `usePrompts` hook from the `PromptsProvider`.
– The `addInitialPrompt` function defines the details of the initial prompt (e.g., a welcome message).
– A button is rendered in the component that, when clicked, triggers the `addInitialPrompt` function to add the prompt to the application’s prompt templates.

After clicking the button, the initial prompt will be added to the prompt templates managed by the `PromptsProvider`. You can then proceed to render this prompt in your UI and handle user interactions based on the defined prompt structure.

Modify the prompt details (`name`, `content`, `inputs`) as needed to fit your specific use case and application requirements. This approach allows you to dynamically add and manage prompts within your React application using the provided context and state management capabilities.