DEPLOY.md

🚀 Deployment Guide - Using HuggingFace Models

✅ Perfect Setup!

You've uploaded your models to HuggingFace at: anis80/anisproject

The app is now configured to download models from there automatically!

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📤 Deploy to Render (Recommended - Free)

Step 1: Push to GitHub

cd e:\anis

# Add GitHub remote (replace YOUR_USERNAME)
git remote add origin https://github.com/YOUR_USERNAME/sentiment-analysis-backend.git
git branch -M main

# Push to GitHub
git push -u origin main

Step 2: Deploy to Render

1. Go to: https://render.com
2. Sign up with GitHub
3. Create "New Web Service"
4. Connect your sentiment-analysis-backend repository
5. Configure:
   • Name: sentiment-analysis-api
   • Runtime: Python 3
   • Build Command: pip install -r requirements.txt
   • Start Command: uvicorn app:app --host 0.0.0.0 --port $PORT
   • Instance Type: Free
6. Click "Create Web Service"

Step 3: Wait for Deployment (3-5 minutes)

Your API will be live at: https://sentiment-analysis-api-XXXX.onrender.com

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🌐 Alternative: Deploy to HuggingFace Spaces

Since your models are already on HuggingFace, you can also deploy there:

Create Space

1. Go to: https://huggingface.co/new-space
2. Name: sentiment-analysis-api
3. SDK: Docker
4. Hardware: CPU basic (Free)

Push Code

cd e:\anis

# Add HuggingFace remote
git remote add hf https://huggingface.co/spaces/anis80/sentiment-analysis-api
git push hf main

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✅ Benefits of This Approach

• ✅ No large files in repository (only ~10KB of code)
• ✅ Models downloaded on startup from HuggingFace
• ✅ Works on any platform (Render, HuggingFace, Railway, etc.)
• ✅ Easy model updates - just update on HuggingFace
• ✅ Free deployment on both platforms

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🧪 Test Locally First

cd e:\anis
pip install -r requirements.txt
python app.py

Visit: http://localhost:7860/docs

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📝 Update Frontend

Once deployed, update index.html lines 72-73:

const predictApi = 'https://YOUR_DEPLOYMENT_URL/predict';
const statusApi = 'https://YOUR_DEPLOYMENT_URL/status';

Then deploy frontend to Vercel!

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💰 Cost: $0/month 🎉

Both Render and HuggingFace offer free tiers perfect for this project!

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Ready to deploy? Choose Render or HuggingFace and follow the steps above! 🚀