Upload folder using huggingface_hub

Dockerfile

@@ -4,28 +4,37 @@ FROM python:3.12-slim
 # Set a working directory
 WORKDIR /app
 
-# Prevent Python from buffering stdout/stderr (helps for logging)
+# Prevent Python from buffering stdout/stderr (helps with real-time logs)
 ENV PYTHONUNBUFFERED=1
 
-# Pass through any licensing-service or other secrets at build time (optional)
+# Build-time args for your licensing service and HF deployment
 ARG LICENSING_SERVICE_BASE
 ARG API_KEY
+ARG HF_TOKEN
+ARG HF_REPO_ID
 
-# Also set them as env vars in the container
+# Expose both as env vars in the container
 ENV LICENSING_SERVICE_BASE=${LICENSING_SERVICE_BASE}
 ENV API_KEY=${API_KEY}
+ENV HF_TOKEN=${HF_TOKEN}
+ENV HF_REPO_ID=${HF_REPO_ID}
 
 # Copy and install dependencies
 COPY requirements.txt .
 RUN pip install --upgrade pip \
-    && pip install --no-cache-dir -r requirements.txt
-
-# Copy your Gradio app code into the image
+    && pip install --no-cache-dir -r requirements.txt 
+# Install Hugging Face CLI
+RUN pip install --no-cache-dir "huggingface_hub[cli]" \
+    && huggingface-cli login --token "$HF_TOKEN" \
+    && printf "%s\n%s\n%s\n\n\nn\nn\n" \
+         "$HF_TOKEN" "y" "$HF_REPO_ID" \
+       | gradio deploy
+
+# Copy your Gradio app code
 COPY . .
 
-# Expose the port your app uses
+# Expose the Gradio port
 EXPOSE 7860
 
-# Default command: run your async main entrypoint
+# Default command: start your app
 CMD ["python", "gradio_bot3.py"]
-