Chat with OpenAI – Dr. Trippers Stuff

This script keeps throwing a syntax and/or indent error: from argparse import Namespace
from flask import Flask, render_template, request, jsonify
from openai import OpenAI
from pinecode_code import pinecone_client, vector_index_name, insert_vectors_into_pinecone
import json
import tensorflow_hub as hub
import numpy as np

app = Flask(__name__)

# Initialize OpenAI client
openai_client = OpenAI(base_url=”http://localhost:5151/v1″, api_key=”not-needed”)
embed = hub.load(“https://tfhub.dev/google/universal-sentence-encoder/4″)

# Placeholder for pre-prompt text
def get_pre_prompt(task_type):
pre_prompts = {
‘Chat’: ‘You are a talkative ai’,
‘Code’: ‘Write a code block for:’,
‘Image’: ‘Write a prompt for Dall-e for this:’,
‘Writing’: ‘Write about this:’
}
return pre_prompts.get(task_type, ”)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

# Function to insert vectors into Pinecone
def insert_vectors_into_pinecone(
user_input_embedding,
assistant_response_embedding,
namespace=”Chat-history”):

@app.route(‘/’, methods=[‘GET’, ‘POST’])
def chat_interaction():
if request.method == ‘POST’:
user_input = request.form[‘user_input’]
task_type = request.form.get(‘task_type’, ‘Chat’)

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

# Initialize chat history
history = [
{“role”: “system”, “content”: “You are an intelligent assistant. You always provide well-reasoned answers that are both correct and helpful.”},
{“role”: “user”, “content”: pre_prompt}, # Use pre-prompt as the initial user message
]
# Chat with OpenAI
completion = openai_client.chat.completions.create(
model=”local-model”, # this field is currently unused
messages=history,
temperature=0.7,
stream=True,
)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)
# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone([user_input_embedding, assistant_response_embedding])

# Uncomment to see chat history
print(f”n{‘-‘*20} Chat History Dump {‘-‘*20}n”)
print(json.dumps(history, indent=2))
print(f”n{‘-‘*55}n”)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)

It looks like there are a few issues in your script. Let me point them out and provide corrections:

1. The `insert_vectors_into_pinecone` function is defined but not implemented. You need to complete the function or remove it if it’s not necessary.

“`python
# Placeholder for pre-prompt text
def get_pre_prompt(task_type):
pre_prompts = {
‘Chat’: ‘You are a talkative ai’,
‘Code’: ‘Write a code block for:’,
‘Image’: ‘Write a prompt for Dall-e for this:’,
‘Writing’: ‘Write about this:’
}
return pre_prompts.get(task_type, ”)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

@app.route(‘/’, methods=[‘GET’, ‘POST’])
def chat_interaction():
if request.method == ‘POST’:
# … (rest of the code)

# Insert embeddings into Pinecone (Incomplete, please complete or remove)
insert_vectors_into_pinecone([user_input_embedding, assistant_response_embedding])

# … (rest of the code)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Please complete the `insert_vectors_into_pinecone` function according to your requirements or remove it if you don’t need it. Also, make sure to address any other missing parts or modifications specific to your use case.
Teh pinecone_integration is in another script. What else do I need to complete the code? Should the insert_vectors_into_pinecone(… be inside of def chat_interaction?
If the `insert_vectors_into_pinecone` function is implemented in another script (let’s call it `pinecone_integration.py`), you should import it at the beginning of your script. Additionally, you can call this function inside the `chat_interaction` function where you want to insert the vectors into Pinecone.

Here’s an updated version of your script:

“`python
from argparse import Namespace
from flask import Flask, render_template, request, jsonify
from openai import OpenAI
from pinecone_integration import insert_vectors_into_pinecone # Import the function from pinecone_integration
import json
import tensorflow_hub as hub
import numpy as np

# … (rest of the code)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

@app.route(‘/’, methods=[‘GET’, ‘POST’])
def chat_interaction():
if request.method == ‘POST’:
# … (rest of the code)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# … (rest of the code)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Make sure to replace `pinecone_integration` with the actual name of your script containing the `insert_vectors_into_pinecone` function. With this structure, the `insert_vectors_into_pinecone` function is called inside the `chat_interaction` function whenever a new message is received. Adjust the code as needed based on your specific requirements and the structure of your project.
My code looks exactly like your with additonal code but formatted…but I get this error: (ricky) D:SarahOneRickgenerated>python app.py
File “D:SarahOneRickgeneratedapp.py”, line 39
@app.route(‘/’, methods=[‘GET’, ‘POST’])
^
IndentationError: expected an indented block after function definition on line 33
The error you’re encountering, “IndentationError: expected an indented block after function definition on line 33,” indicates a problem with the indentation in your code. Python relies on proper indentation to define the structure of the code.

Ensure that the indentation levels are consistent. In Python, indentation is usually done with spaces or tabs, but it’s crucial to be consistent throughout the file.

Here’s the relevant part of your code with corrected indentation:

“`python
# … (previous code)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

@app.route(‘/’, methods=[‘GET’, ‘POST’])
def chat_interaction():
if request.method == ‘POST’:
# … (rest of the code)

# Insert embeddings into Pinecone (Incomplete, please complete or remove)
insert_vectors_into_pinecone([user_input_embedding, assistant_response_embedding])

# … (rest of the code)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Make sure that the lines within the functions are indented consistently, and there are no mixed spaces and tabs. If the issue persists, please double-check the indentation in your actual code and correct any inconsistencies.
same
I apologize for the confusion. It seems that there might be an issue with the indentation in the provided code snippet. Please make sure that all lines within a function are consistently indented with either spaces or tabs.

Here’s a revised version of the code snippet with corrected indentation using spaces:

“`python
# … (previous code)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

# Function to insert vectors into Pinecone (Incomplete, please complete or remove)
def insert_vectors_into_pinecone(
user_input_embedding,
assistant_response_embedding,
def get_pre_prompt(task_type):
pre_prompts = {
‘Chat’: ‘You are a talkative ai’,
‘Code’: ‘Write a code block for:’,
‘Image’: ‘Write a prompt for Dall-e for this:’,
‘Writing’: ‘Write about this:’
}
return pre_prompts.get(task_type, ”)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

# Function to insert vectors into Pinecone
def insert_vectors_into_pinecone(
user_input_embedding,
assistant_response_embedding,
namespace=”Chat-history”):
# Your implementation in pinecone_integration.py

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)

else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)

It appears that the indentation in your provided code is not consistent, leading to indentation errors. Please correct the indentation to ensure that each block of code is properly aligned. Here is a revised version with corrected indentation:

“`python
# … (previous code)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Make sure to align all the lines within the functions and conditional blocks consistently.
File “D:SarahOneRickgeneratedapp.py”, line 36
@app.route(‘/’, methods=[‘GET’, ‘POST’])
^
IndentationError: expected an indented block after function definition on line 30

I see the issue now. It looks like the indentation for the `else` statement is incorrect. The `else` block should be at the same indentation level as the `if` block. Please correct the indentation for the `else` block. Here’s the corrected version:

“`python
# … (previous code)

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Ensure that the `else` block is aligned with the corresponding `if` block. This should resolve the `IndentationError`.
it s and was
I apologize for any confusion. If the indentation is correct and you’re still encountering the `IndentationError`, there might be an issue with the formatting in the provided text. Let’s try a different approach. Please copy and paste the code again, and make sure the indentation is preserved. If the issue persists, I’ll do my best to assist you in resolving it.
from argparse import Namespace
from flask import Flask, render_template, request, jsonify
from openai import OpenAI
from pinecone_integration import pinecone_client, vector_index_name, insert_vectors_into_pinecone
import json
import tensorflow_hub as hub
import numpy as np

app = Flask(__name__)

# Initialize OpenAI client
openai_client = OpenAI(base_url=”http://localhost:5151/v1″, api_key=”not-needed”)
embed = hub.load(“https://tfhub.dev/google/universal-sentence-encoder/4″)

# Function to embed text
def embed_text(text):
return np.array(embed([text]))[0]

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)

Thank you for providing the code. I’ve reviewed it, and it seems to have the correct indentation. If you are still encountering an `IndentationError`, there might be an issue outside the provided code snippet.

Ensure that there are no hidden characters (like tabs or mixed spaces/tabs) causing the indentation error. You can try re-indenting the entire code using a consistent number of spaces.

If the issue persists, please double-check the indentation in your actual code editor. If you have additional code or error messages related to the indentation error, feel free to share them for further assistance.
Also say these are not accessed: def insert_vectors_into_pinecone(
user_input_embedding,
assistant_response_embedding,
namespace=”Chat-history”):
# Your implementation in pinecone_integration.py

If the `insert_vectors_into_pinecone` function is not accessed in your code, it won’t have any impact on the functionality, and you can safely leave it as is. The function will act as a placeholder, and you can implement it in the `pinecone_integration.py` script whenever you need to integrate with Pinecone.

Just be aware that if you plan to use Pinecone integration later, you’ll need to implement the function in `pinecone_integration.py` and make sure it performs the intended actions.

For now, you can focus on the other parts of your code, and when the time comes to integrate with Pinecone, you can revisit and complete the implementation of `insert_vectors_into_pinecone`. If you have specific questions or need further assistance with the Pinecone integration, feel free to ask.
This is all that we are doingis getting the pinecone to Work!! Still with the indent error at line 36 but giving this: IndentationError: expected an indented block after function definition on line 30
I appreciate your patience. It seems there’s still an issue with the indentation. Let’s address the indentation error and ensure that the code is correctly formatted. Here’s the corrected version:

“`python
# … (previous code)

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Please ensure that each block of code is indented consistently using spaces, and there are no hidden characters causing indentation issues. If the problem persists, it might be beneficial to check the indentation settings in your code editor.
(ricky) D:SarahOneRickgenerated>python app.py
File “D:SarahOneRickgeneratedapp.py”, line 37
@app.route(‘/’, methods=[‘GET’, ‘POST’])
^
I see the issue now. It seems there might be a discrepancy in the indentation of the `@app.route` decorator. It should be indented at the same level as the `def chat_interaction():` line.

Here’s the corrected version:

“`python
# … (previous code)

# Get pre-prompt based on task_type
pre_prompt = get_pre_prompt(task_type)

new_message = {“role”: “assistant”, “content”: “”}

for chunk in completion:
if chunk.choices[0].delta.content:
new_message[“content”] += chunk.choices[0].delta.content

history.append(new_message)

# Embed user input and assistant response
user_input_embedding = embed_text(user_input)
assistant_response_embedding = embed_text(new_message[“content”])

# Insert embeddings into Pinecone
insert_vectors_into_pinecone(user_input_embedding, assistant_response_embedding)

# Get assistant’s response
assistant_response = new_message[“content”]

return jsonify(response=assistant_response, pre_prompt=pre_prompt)
else:
return render_template(‘index.html’)

if __name__ == ‘__main__’:
app.run(debug=True)
“`

Ensure that the `@app.route` decorator is indented at the same level as the function it decorates. If the problem persists, please double-check for any unusual characters or mixed tabs/spaces in your code editor.
it is and has been since we started,m again round and round with the same answers and
I apologize for any frustration this has caused. I’ll attempt to provide a fresh perspective and offer a potential solution. The indentation in the provided code seems correct, and the reported error at line 37 is unexpected.

“`python
@app.route(‘/’, methods=[‘GET’, ‘POST’])
def chat_interaction():
# … (rest of the code)
“`

If the error persists, consider checking the following:

1. **Hidden Characters**: Ensure that there are no hidden characters in the code file, especially in the lines around the reported error. You can open the file in a text editor that supports showing invisible characters to verify.

2. **Editor Settings**: Some code editors have specific settings for indentation. Ensure that your editor is set to use spaces or tabs consistently, as mixing them can lead to issues.

3. **Code Editor Behavior**: Occasionally, some code editors might not handle indentation consistently, or there could be a bug in the editor itself. If possible, try copying the code to a different editor or IDE and see if the issue persists.

4. **Re-indentation**: Manually re-indent the entire code block starting from the `@app.route` decorator. Sometimes, even though the indentation looks correct, re-indenting manually can resolve such issues.

If the problem continues, you might want to share the code without the indentation (pure text), and I can try to provide a version with corrected indentation. Alternatively, seeking assistance from a colleague or a fresh pair of eyes can be helpful in identifying the root cause of the issue.