Create Dockerfile

Dockerfile

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+# Dockerfile
+
+# Base image jo Python aur ML ke liye zaroori libraries rakhti hai
+# Agar Free Tier par GPU nahi milta to 'python:3.10-slim' use karein
+# Lekin hum zyada compatibility ke liye 'python:3.10' base rakhenge
+FROM python:3.10-slim
+
+# Directory banaein aur usay working directory set karein
+WORKDIR /app
+
+# Dependencies file ko copy karein
+COPY requirements.txt .
+
+# Dependencies install karein
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Aapki app file ko copy karein
+COPY app.py .
+
+# Agar aapke pass koi model weights hain to unhe bhi copy karein, lekin
+# Real-ESRGAN khud hi internet se pre-trained weights download karta hai.
+
+# Hugging Face Spaces port 7860 par application run hone ki ummeed rakhta hai
+EXPOSE 7860
+
+# Application ko run karein
+# Uvicorn ko 'app.py' mein maujood 'app' object ko host karna hai
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+