Gemini App for Key Information Extraction

This Streamlit application leverages the power of Google Cloud's Gemini Pro model to extract key information from text. Users can input text and receive a concise summary, along with the most important keywords.

Features

• Text Summarization: Powered by Gemini Pro, the app generates a brief and professional summary of the input text.
• Keyword Extraction: Identifies and presents the most relevant keywords from the text.
• User-Friendly Interface: Simple and intuitive design makes it easy to use.

How to Use

1. Input Text: Paste or type your text into the provided text area.
2. Generate Response: Click the "Generate Response" button.
3. View Results: The summarized text and extracted keywords will be displayed below.

Technical Details

• Model: Google Cloud's Gemini Pro
• Framework: Streamlit
• Language: Python
• Libraries: google-cloud-aiplatform, PyMuPDF, streamlit

Requirements

To run this application locally, you need to install the required libraries:

pip install google-cloud-aiplatform PyMuPDF streamlit

Setup and Configuration

1. Clone the Repository:

   git clone https://github.com/your-username/gemini_app.git

2. Set up Google Cloud Credentials: Follow the instructions in the main.py file to configure your Google Cloud credentials.
3. Run the App:

   streamlit run main.py

Disclaimer

This application is a demonstration of the capabilities of Google Cloud's Gemini Pro model. While it strives to provide accurate and helpful information, it should not be considered a substitute for professional advice or judgment.