🦀 Gradio FastAPI Django Main - Docker Setup

Based on the configuration in README.md:

Title: Gradio fastapi_django_main
Emoji: 🦀
SDK: Gradio 4.29.0
App File: app.py

Quick Start

Prerequisites

Docker Desktop installed and running
PowerShell (Windows) or Bash (Linux/macOS)

🚀 Start Application

# Windows
.\start.ps1

# Or manually:
docker-compose up --build -d

🛑 Stop Application

# Windows
.\stop.ps1

# Or manually:
docker-compose down

Configuration

Environment Variables

Copy .env.example to .env and update the values:

# Groq API Configuration
OPENAI_API_BASE=https://api.groq.com/openai/v1
OPENAI_API_KEY=your_actual_api_key_here
MODEL_NAME=llama3-8b-8192
LOCAL_MODEL=true

# Gradio Configuration
GRADIO_SERVER_NAME=0.0.0.0
GRADIO_SERVER_PORT=7860

Services

Main Application

Container: gradio-fastapi-django-main
Port: 7860
URL: http://localhost:7860

Features

Gradio 4.29.0 Web Interface
FastAPI Backend
Django Integration
Groq API Support
Health Checks
Auto-restart on failure

Docker Commands

# Build only
docker-compose build

# Start in foreground (see logs)
docker-compose up

# Start in background
docker-compose up -d

# View logs
docker-compose logs -f

# Check status
docker-compose ps

# Stop and remove
docker-compose down

# Rebuild and start
docker-compose up --build

# Clean up everything
docker-compose down -v --remove-orphans
docker system prune -f

Troubleshooting

Container won't start

Check Docker Desktop is running
Check logs: docker-compose logs
Verify .env file exists and has correct values
Ensure port 7860 is not in use

API Key Issues

Update OPENAI_API_KEY in .env file
Restart containers: docker-compose restart

Performance Issues

Allocate more memory to Docker Desktop
Check container resources: docker stats

Development

Local Development with Docker

# Mount source code for live reloading
docker-compose -f docker-compose.dev.yml up

Access Container Shell

docker-compose exec gradio-fastapi-django bash