AgroSum: Agricultural Report Summarizer

A Streamlit web application that uses AI to summarize agricultural reports and documents. 

Features

• Text Input: Paste text directly for summarization
• PDF Upload: Upload PDF files to extract and summarize text
• AI-Powered Summarization: Uses Facebook's BART model for high-quality summaries
• Key Terms Extraction: Identifies the most frequent terms in the document
• User-Friendly Interface: Clean and intuitive Streamlit interface

Installation

1. Clone this repository:

git clone https://github.com/Rajshinde9909/Agro-Sum.git
cd LLM_DOC_Summ

2. Create a virtual environment:

python -m venv my_env

3. Activate the virtual environment:

# On Windows
my_env\Scripts\activate

# On macOS/Linux
source my_env/bin/activate

4. Install dependencies:

pip install -r requirements.txt

Usage

1. Run the Streamlit application:

streamlit run agrisum.py

2. Open your web browser and go to the URL shown in the terminal (usually http://localhost:8501)

3. Choose your input method:

   • Paste Text: Copy and paste your agricultural report text
   • Upload PDF: Upload a PDF file containing your report

4. Click "Generate Summary" to get an AI-powered summary

Technologies Used

• Streamlit: Web application framework
• Transformers: Hugging Face library for AI models
• BART: Facebook's BART model for text summarization
• NLTK: Natural language processing toolkit
• PyPDF2: PDF text extraction

Requirements

See requirements.txt for all dependencies.

License

This project is open source and available under the MIT License.