Upload 4 files

Dockerfile

@@ -0,0 +1,25 @@
+FROM tensorflow/tensorflow:2.16.1-jupyter
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential gfortran libblas-dev liblapack-dev \
+    libffi-dev libssl-dev libbz2-dev liblzma-dev zlib1g-dev \
+    libncurses5-dev libncursesw5-dev libreadline-dev curl git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for caching
+COPY requirements.txt .
+
+# Upgrade pip and install all dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy app source
+COPY . .
+
+# Expose Flask port
+EXPOSE 7860
+
+# Run Flask API
+CMD ["python", "app.py"]

README.md

@@ -1,14 +1,9 @@
 ---
-title: Classification Garbage
-emoji: 📚
-colorFrom: gray
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.48.0
-app_file: app.py
+title: gcai
+emoji: 🌍
+colorFrom: yellow
+colorTo: indigo
+sdk: docker
 pinned: false
+license: mit
 ---
-
-# HF Model: Classification
-
-This folder contains files to load a Keras (.keras) image classification model on Hugging Face Inference.

app.py

@@ -110,4 +110,4 @@ async def home():
     return "POST /predict"
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=8000)
+    app.run(host="0.0.0.0", port=7860)