🗂️ Private Document Chat

Build a chatbot powered by LlamaIndex that augments GPT 4 with the content of your private documents. This versatile application allows you to interact with any document in a conversational manner, making it easier to find information or learn from the document's contents.

• Utilizes Streamlit's st.chat_input for taking user queries and st.chat_message for displaying both user queries and model responses.
• Leverages LlamaIndex to load, index your private documents, and create a chat engine. This engine retrieves context from the indexed data to respond to each user query effectively.

Getting Started

Obtain an OpenAI API Key

To interact with GPT 3.5, you'll need an OpenAI API key:

1. Visit OpenAI API Keys.
2. Click on the + Create new secret key button.
3. Optionally, enter an identifier name and click on the Create secret key button.

Running Locally

To run this app locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/bdhaval/private-document-chat
   cd private-document-chat

2. Set Up a Python Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies:

   pip install -r requirements.txt

4. Add Your Private Data:

   Add your private data in the data folder

5. Run the Application:

   streamlit run app.py

6. Access the App:

   Open your web browser and go to http://localhost:8501.