This Streamlit application provides an interactive interface for a chatbot powered by OpenAI. The chatbot is designed to retrieve and provide responses based on the content loaded from a CSV file named personal_posts.csv. The application uses OpenAI's embeddings and a vector store to efficiently fetch relevant responses.

• CSV Data Loading: Loads conversational data from personal_posts.csv.
• Text Chunking: Splits large textual data into manageable chunks for efficient processing.
• OpenAI Integration: Uses OpenAI's API for embeddings and conversation modeling.
• Interactive UI: Provides a web interface for users to interact with the chatbot.

• Python 3.x
• Streamlit
• OpenAI Python SDK

1. Clone the repository:

git clone <repository-url>
cd <repository-directory>

2. Install the required Python packages:

pip install -r requirements.txt

3. Set up your OpenAI API key. You can do this by setting up Streamlit secrets or exporting it as an environment variable:

export OPENAI_API_KEY=your_openai_key

To run the Streamlit app, execute the following command:

streamlit run streamlitapp.py

1. Open the provided link in your browser after running the app.
2. Click on the "Start" button to initiate the chatbot.
3. Type your question or statement in the input box and press "Enter" or click "Submit".
4. The chatbot will provide a response based on the content from personal_posts.csv.
5. You can continue the conversation with the bot, and the chat history will be displayed on the screen.

Feel free to fork the repository, make changes, and submit pull requests. Contributions are welcome!

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