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bashaimmortal/Bidanalyzer_Pro

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
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App README

Bidanalyzer Pro

AI-powered tool to analyze and summarize tender / bid documents.

BidAnalyzer Pro

A powerful document analysis tool that extracts and analyzes tender/bid documents using AI (Google Gemini) and generates professional PDF reports.

🚀 Features

  • —AI-Powered Analysis: Uses Google Gemini 2.5 Flash for intelligent document extraction
  • —Multi-Language Support: Translate reports to multiple languages (Hindi, Telugu, Tamil, Spanish, French, etc.)
  • —PDF Generation: Creates professional, branded PDF reports with custom templates
  • —React Frontend: Modern, responsive UI built with React & Vite
  • —FastAPI Backend: High-performance Python backend with async support

📋 Tech Stack

Frontend

  • —React 19
  • —Vite
  • —Lucide React (icons)
  • —HTML2Canvas & jsPDF

Backend

  • —FastAPI
  • —Google Generative AI (Gemini)
  • —PDFPlumber (text extraction)
  • —ReportLab (PDF generation)
  • —Deep Translator

🔧 Local Development

Prerequisites

  • —Node.js 18+
  • —Python 3.11+
  • —Google Gemini API Key

Setup

  1. 1.Clone the repository
bash
git clone <your-repo-url>
cd "Bidanalyzer Pro"
  1. 1.Install Frontend Dependencies
bash
npm install
  1. 1.Install Backend Dependencies
bash
pip install -r requirements.txt
  1. 1.Configure Environment Variables
bash
cp .env.example .env
# Edit .env and add your GEMINI_API_KEY
  1. 1.Run Development Servers

Backend (Terminal 1):

bash
python server.py
# Runs on http://localhost:8000

Frontend (Terminal 2):

bash
npm run dev
# Runs on http://localhost:5173

🌐 Deployment to Render

Option 1: Using Render Blueprint (Recommended)

  1. 1.Push to GitHub
bash
git init
git add .
git commit -m "Initial commit"
git remote add origin <your-github-repo-url>
git push -u origin main
  1. 1.Deploy on Render
  2. 2.Go to Render Dashboard
  3. 3.Click "New" → "Blueprint"
  4. 4.Connect your GitHub repository
  5. 5.Render will automatically detect render.yaml and create both services
  1. 1.Configure Environment Variables
  2. 2.Go to your backend service settings
  3. 3.Add environment variable: GEMINI_API_KEY=<your-key>
  1. 1.Update Frontend API URL
  2. 2.After backend deploys, copy its URL (e.g., https://bidanalyzer-api.onrender.com)
  3. 3.Update the API URL in src/App.jsx (search for localhost:8000)
  4. 4.Redeploy frontend

Option 2: Manual Deployment

Deploy Backend
  1. 1.Go to Render Dashboard → New → Web Service
  2. 2.Connect your repository
  3. 3.Configure:
  4. 4.Name: bidanalyzer-api
  5. 5.Runtime: Python
  6. 6.Build Command: pip install -r requirements.txt
  7. 7.Start Command: uvicorn server:app --host 0.0.0.0 --port $PORT
  8. 8.Add environment variable: GEMINI_API_KEY
  9. 9.Deploy
Deploy Frontend
  1. 1.Go to Render Dashboard → New → Static Site
  2. 2.Connect your repository
  3. 3.Configure:
  4. 4.Name: bidanalyzer-frontend
  5. 5.Build Command: npm install && npm run build
  6. 6.Publish Directory: dist
  7. 7.Deploy

🔑 Environment Variables

Create a .env file in the root directory:

env
GEMINI_API_KEY=your_gemini_api_key_here

Get your API key from Google AI Studio

📁 Project Structure

Bidanalyzer Pro/
├── src/                    # React frontend source
│   ├── App.jsx            # Main application component
│   ├── main.jsx           # React entry point
│   └── index.css          # Global styles
├── public/                # Static assets
├── server.py              # FastAPI backend
├── requirements.txt       # Python dependencies
├── package.json           # Node dependencies
├── render.yaml            # Render deployment config
├── vite.config.js         # Vite configuration
└── README.md              # This file

🎯 API Endpoints

  • —POST /analyze - Analyze uploaded document
  • —POST /translate - Translate analysis results
  • —POST /generate-pdf - Generate PDF report

🐛 Troubleshooting

Common Issues

1. CORS Errors

  • —Ensure backend URL is correctly configured in frontend
  • —Check CORS settings in server.py

2. PDF Generation Fails

  • —Ensure Chrome/Chromium is installed on the server
  • —For Render, this is included in the Python runtime

3. API Key Issues

  • —Verify GEMINIAPIKEY is set in Render environment variables
  • —Check API quota limits in Google AI Studio

📝 License

MIT License - feel free to use this project for your own purposes!

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Made with ❤️ using React, FastAPI, and Google Gemini