Wellness Companion Chatbot

This project implements a wellness companion chatbot using FastAPI, OpenAI's GPT-3.5-turbo model, and Sentence Transformers for natural language processing. The chatbot provides personalized recommendations based on user queries, rephrasing suggestions in an engaging manner and linking to relevant YouTube videos.

Features

• FastAPI for serving the chatbot as a web service.
• OpenAI GPT-3.5-turbo for generating natural language responses.
• Sentence Transformers for finding the most relevant response using similarity search.
• FAISS for efficient similarity search on dense vector embeddings.
• Pandas for data handling and processing.

Installation

Prerequisites

• Python 3.7+
• An OpenAI API key

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/wellness-companion-chatbot.git
   cd wellness-companion-chatbot

2. Install the required dependencies:

   pip install -r requirements.txt

3. Set up your OpenAI API key:

   Replace 'your-openai-api-key-here' in app.py with your actual OpenAI API key.

   Alternatively, you can export it as an environment variable:

   export OPENAI_API_KEY='your-openai-api-key-here'

4. Run the FastAPI server:

   uvicorn app:app --reload

5. The server will start at http://127.0.0.1:8000. You can now send POST requests to the /query/ endpoint.

Usage

You can interact with the chatbot by sending a POST request to the /query/ endpoint with a JSON body containing your query. Example:

curl -X POST "http://127.0.0.1:8000/query/" -H "Content-Type: application/json" -d '{"query": "I am feeling stressed and anxious."}'