Q-A-with-Images

This Streamlit app allows users to upload images and ask questions about them. The app uses a generative AI model to generate responses to the questions. Each session's history of questions and answers is stored in a text file named after the uploaded image, allowing for easy review and record-keeping.

Features

• Image Upload: Users can upload images in JPG or PNG format to ask questions about.
• Q&A Interface: After uploading an image, users can input questions, and the app provides AI-generated answers based on the image and question context.
• History Tracking: Each question and its corresponding answer are stored in a session-specific history, which is displayed below the input area.
• Persistent Records: The app saves a history of all questions and answers for each image in a text file named after the uploaded image, facilitating easy access to past interactions.

Installation

To run this app locally, you will need Python and Streamlit installed, along with a few other dependencies.

1. Clone this repository to your local machine.

2. Navigate to the cloned directory.

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

Usage

1. Start the App: Launch the app using the Streamlit command mentioned above.
2. Upload an Image: Use the "Choose an image..." button to upload a JPG or PNG image.
3. Ask a Question: Enter your question about the uploaded image in the "Input Prompt:" text input field.
4. View the Answer: Press the "Ask" button to receive an AI-generated answer to your question.
5. Review History: The "History" section below the "Ask" button displays all the questions asked and answers received for the current image.
6. Access Saved Histories: The app saves each session's Q&A history in a .txt file named after the uploaded image, which can be found in the app's running directory.

Dependencies

• Streamlit
• Google Generative AI (or your choice of AI model API)
• Python-dotenv
• PIL (Python Imaging Library)

Configuration

Before running the app, make sure to set up your environment variables:

1. Create a .env file in the root directory of your project.

2. Add your Google API Key (or relevant API Key for the AI model you are using) to the .env file:

   GOOGLE_API_KEY=your_api_key_here
   

3. The app will read this key to authenticate requests to the AI service.

Contributing

Contributions to improve the app are welcome. Please follow the standard fork-clone-branch-pull request workflow.

Contact

gmail - [email protected] linkedin - www.linkedin.com/in/navneetrajsingh