Update deployment to use Docker instead of Gradio

Refactor the project to utilize a Docker-based deployment strategy, updating README.md and enhancer.py, and introducing a Dockerfile for building and running the application container.

Replit-Commit-Author: Agent
Replit-Commit-Session-Id: bbef0274-cbeb-475e-9405-87aa3768f3bb
Replit-Commit-Checkpoint-Type: intermediate_checkpoint
Replit-Commit-Event-Id: 580f61c3-f9a0-4a7a-90e0-d6444760c3aa
Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/7d1cb5bc-d8ee-4ca0-b38d-ea189c447bda/bbef0274-cbeb-475e-9405-87aa3768f3bb/uSFrCbs

Dockerfile

@@ -0,0 +1,22 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+RUN mkdir -p uploads outputs weights templates
+
+EXPOSE 7860
+
+ENV PYTHONUNBUFFERED=1
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -3,9 +3,7 @@ title: AI Image Enhancer
 emoji: 🖼️
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: 4.0.0
-app_file: app.py
+sdk: docker
 pinned: false
 license: mit
 ---
@@ -76,9 +74,9 @@ The server will start at `http://localhost:7860`
 ## Deployment to Hugging Face Spaces
 
 1. Create a new Space on Hugging Face
-2. Select "Gradio" as the SDK (or Docker for more control)
+2. Select "Docker" as the SDK
 3. Upload all files from this repository
-4. The Space will automatically install dependencies and start
+4. The Space will automatically build and start the container
 
 ## API Usage Examples
 

enhancer.py

@@ -1,4 +1,3 @@
-import os
 import torch
 import numpy as np
 from PIL import Image
@@ -22,14 +21,8 @@ class ImageEnhancer:
     
     def _load_model(self):
         """Download and load the Real-ESRGAN model."""
-        try:
-            from realesrgan import RealESRGANer
-            from basicsr.archs.rrdbnet_arch import RRDBNet
-        except ImportError:
-            print("Installing Real-ESRGAN dependencies...")
-            os.system("pip install realesrgan basicsr")
-            from realesrgan import RealESRGANer
-            from basicsr.archs.rrdbnet_arch import RRDBNet
+        from realesrgan import RealESRGANer
+        from basicsr.archs.rrdbnet_arch import RRDBNet
         
         model_path = Path("weights")
         model_path.mkdir(exist_ok=True)