Gemini Q&A Tool (Gradio + LangChain)

This project is built with Gradio, LangChain, and Gemini for answering questions from PDFs:

1. gradio_qa.py – Paste or type any text and ask questions based on it.
2. gradio_pdf.py – Upload a PDF and ask questions about its content.

Clone the Repo

Type in terminal:

git clone https://github.com/AfreenInnovates/gemini-QA-tool.git
cd gemini-QA-tool

Installation

Type in terminal:

python -m venv venv

• Mac: source venv/bin/activate
• On Windows: venv\Scripts\activate

Create requirements.txt file in the same directory as of gemini-QA-tool and must contain the following:

gradio 
langchain 
langchain-google-genai 
python-dotenv 
PyMuPDF

To install dependencies, type in terminal:

pip install -r requirements.txt

or if above does not work, type pip install gradio langchain langchain-google-genai python-dotenv PyMuPDF in the terminal

Next, create an .env file wthin the project directory and must contain the following:

GEMINI_API_KEY=put_your_gemini_api_key_here

Must create a Gemini API key from here: https://aistudio.google.com/u/0/apikey

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1. Run the pdf-based QA tool:

python gradio_pdf.py

• Upload a PDF to ask questions from (that has text that can be parsed).
• Ask any question in the next box.
• Output is received in the 2nd column output box.

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2. Run the text-based QA tool:

python gradio_qa.py

• Put any content to ask questions from in the first box.
• Ask any question in the next box.
• Output is received in the 2nd column output box.