Therapist Chatbot with Vector Embeddings and Pinecone

Overview

This project implements a chatbot designed to assist therapists by storing therapist-patient conversations as vector embeddings in Pinecone for efficient retrieval. The chatbot leverages OpenAI's text-embedding-ada-002 model for embedding generation and utilizes Retrieval-Augmented Generation (RAG) for generating contextually accurate responses based on user queries.

Features

Data Handling: Processes therapist-patient conversations from a CSV file, cleans and preprocesses the data for embedding generation. Embedding Generation: Utilizes OpenAI's text-embedding-ada-002 model to convert conversations into vector embeddings. Storage: Stores embeddings in Pinecone for efficient retrieval based on semantic similarity. Querying: Implements a function to query Pinecone, retrieve relevant conversations, and generate responses using OpenAI's RAG model. User Interface: Provides an interactive web interface using Streamlit for therapists to input queries and receive responses.

Demo

YouTube link: Therapist ChatBot

Installation

Clone the Repository:

git clone https://github.com/your-username/therapist-chatbot.git
cd therapist-chatbot

Install Dependencies: Make sure you have Python and pip installed. Then run:
```
pip install -r requirements.txt
```
Set Up OpenAI API Key:
- Get your API key from OpenAI.
- Create a file named .env in the project root and add your API key:
```
OPENAI_API_KEY=your_openai_api_key
```
Run the Application:
```
streamlit run app.py
```

Usage

Open the application in your browser (usually at http://localhost:8501).
Select the type of query from the dropdown menu.
Enter your query in the text area.
Click the "Submit" button to get a response.

Error Handling and Troubleshooting

Common Issues:

RateLimitError: You have exceeded your current quota. Please check your plan and billing details.
InvalidRequestError: There was an issue with your request, likely due to invalid parameters or incorrect API key.
Network Issues: Ensure you have a stable internet connection.

Solutions:

Retry Logic: The application has built-in retry logic for handling temporary rate limits. If the error persists, consider checking your OpenAI plan and usage.
API Key: Ensure your API key is correct and has the necessary permissions.

Contributing

Fork the repository.
Create a new branch (git checkout -b feature/YourFeature).
Make your changes.
Commit your changes (git commit -am 'Add some feature').
Push to the branch (git push origin feature/YourFeature).
Create a new Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or support, please open an issue in the repository or contact the project maintainer at dabriwal.m@northeastern.edu

Mansi-Dabriwal/therapist-chatbot