📝 Gemini AI Text Summarizer

An interactive web application that leverages Google's Gemini Large Language Model to provide concise summaries of user-provided text. Built with Python and Streamlit for a fast, responsive user experience.

➡️ Live Demo: text-summarizer-1.streamlit.app

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✨ Features

• AI-Powered Summarization: Utilizes Google Gemini for intelligent text summarization.
• Interactive UI: Simple and intuitive interface built with Streamlit.
• Adjustable Summary Length: Users can specify the approximate target word count for the summary.
• Real-time Output: Get summaries quickly with a loading indicator.
• Responsive Design: Works on desktop and mobile browsers.

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🚀 Demo

(A screenshot or GIF demonstrating the app in action will be added here soon!)

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🛠️ Technologies Used

• Frontend / Application Framework: Streamlit
• Programming Language: Python
• AI / LLM: Google Gemini API (via google-generativeai SDK)
• Prompt Engineering: Custom prompts to guide LLM output.
• Deployment: Streamlit Community Cloud
• Version Control: Git & GitHub
• Environment Management: python-dotenv (for local development)

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⚙️ Setup and Run Locally (Optional)

If you'd like to run this project on your local machine:

1. Clone the repository:

   git clone https://github.com/debtanu-github/Text_Summarizer.git
   cd Text_Summarizer

2. Create and activate a virtual environment:

   python -m venv venv
   # On Windows
   venv\Scripts\activate
   # On macOS/Linux
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up your Google Gemini API Key:

   • Create a file named .env in the project root (Text_Summarizer folder).
   • Add your API key to the .env file:

     GOOGLE_API_KEY="YOUR_GOOGLE_GEMINI_API_KEY_HERE"
     

   • You can get an API key from Google AI Studio.

5. Run the Streamlit app:

   streamlit run app.py

   The application should open in your web browser.

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📄 Files in this Repository

• app.py: The main Streamlit application script.
• requirements.txt: Python dependencies for the project.
• .gitignore: Specifies intentionally untracked files that Git should ignore.
• main.py: (Kept for reference) Foundational FastAPI backend structure for potential future API development.
• README.md: This file!

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💡 Future Ideas (Potential Improvements)

• Option for different summary styles (e.g., bullet points).
• Support for summarizing text from URLs or uploaded files.
• More advanced error handling and user feedback.
• Caching results for frequently summarized texts.

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🙏 Acknowledgements

• Powered by Google Gemini
• User Interface by Streamlit

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