This project is a web application built using Streamlit that leverages Google Gemini’s generative AI model to create a Q&A interface. The app allows users to input text or both text and images to receive intelligent responses from the Gemini model in real-time.
- Text Input Tab: Users can submit text queries and receive AI-generated responses.
- Text & Image Input Tab: Users can upload images along with text to generate multimodal responses.
- Gemini Model Integration: The app uses Google's
Gemini-1.5-flashmodel for robust natural language and image-based interaction.
- Google Gemini API: The app is connected to Google Gemini’s API using a valid API key for content generation.
- Streamlit: The web interface is built using Streamlit, offering an easy-to-use experience with separate tabs for different input types.
- Python 3.8+
- Streamlit
- Google Gemini API Key
- Python dependencies listed in
requirements.txt
