jalsmida321 / gemini_multipdf_chat

Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.

Gemini PDF Chatbot

Gemini PDF Chatbot is a Streamlit-based application that allows users to chat with a conversational AI model trained on PDF documents. The chatbot extracts information from uploaded PDF files and answers user questions based on the provided context. https://gmultichat.streamlit.app/

gemini.multidocs.chat.demo.mp4

Features

• PDF Upload: Users can upload multiple PDF files.
• Text Extraction: Extracts text from uploaded PDF files.
• Conversational AI: Uses the Gemini conversational AI model to answer user questions.
• Chat Interface: Provides a chat interface to interact with the chatbot.

Getting Started

Note: This project requires Python 3.10 or higher.

1. Clone the Repository:

   git clone https://github.com/your-username/gemini-pdf-chatbot.git

2. Install Dependencies:

   pip install -r requirements.txt

3. Set up Google API Key:

   • Obtain a Google API key and set it in the .env file.

   GOOGLE_API_KEY=your_api_key_here

4. Run the Application:

   streamlit run main.py

5. Upload PDFs:

   • Use the sidebar to upload PDF files.
   • Click on "Submit & Process" to extract text and generate embeddings.

6. Chat Interface:

   • Chat with the AI in the main interface.

Project Structure

• app.py: Main application script.
• .env: file which will contain your environment variable.
• requirements.txt: Python packages required for working of the app.
• README.md: Project documentation.

Dependencies

• PyPDF2
• langchain
• Streamlit
• google.generativeai
• dotenv

Acknowledgments

• Google Gemini: For providing the underlying language model.
• Streamlit: For the user interface framework.