This project is a Streamlit application that allows users to upload an image and interact with it through a chat interface. The application utilizes the Groq API and mistral API to generate responses based on user prompts related to the uploaded image.

• Upload images in formats such as JPG, JPEG, or PNG.
• Select between different AI models for generating responses.
• View chat history between the user and the assistant.
• A clean and modern UI styled with Tailwind CSS.

• Python: Main programming language.
• Streamlit: Framework for building the web application.
• Groq: API for generating responses based on images and prompts.
• mistral: API for generating responses based on images and prompts.
• Tailwind CSS: CSS framework for styling the UI.
• dotenv: For loading environment variables.

• Python 3.10
• An active Groq API key
• An active Mistral API key

1. Clone the repository:

   git clone https://github.com/Hassn11q/chat-with-image.git
   cd chat-with-image

2. Install the required packages: you can install the required packages using pip:

pip install -r requirements.txt

3. Set up environment variables: Create a .env file in the root directory of the project and add your Groq API key:

GROQ_API_KEY=your_api_key
MISTRAL_API_KEY =your_api_key

4. Run the application:

streamlit run app.py

5. Access the application: Open your web browser and navigate to localhost to access the application.