Upload folder using huggingface_hub

Dockerfile

@@ -1,73 +1,31 @@
-# Production Docker image with all AI models and dependencies
-FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
+# Simple production Docker with Python 3.10
+FROM python:3.10
 
-# Prevent interactive prompts
-ENV DEBIAN_FRONTEND=noninteractive \
-    PYTHONUNBUFFERED=1 \
+# Environment variables
+ENV PYTHONUNBUFFERED=1 \
     GRADIO_SERVER_NAME=0.0.0.0 \
-    GRADIO_SERVER_PORT=7860 \
-    CUDA_HOME=/usr/local/cuda \
-    HF_HOME=/home/user/.cache/huggingface
+    GRADIO_SERVER_PORT=7860
 
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    python3.10 \
-    python3-pip \
-    python3-dev \
-    build-essential \
-    git \
-    curl \
-    wget \
-    ffmpeg \
-    libsm6 \
-    libxext6 \
-    libxrender-dev \
-    libgomp1 \
-    && rm -rf /var/lib/apt/lists/* \
-    && ln -s /usr/bin/python3.10 /usr/bin/python
-
-# Create user with ID 1000
+# Create user
 RUN useradd -m -u 1000 user
-
-# Switch to user
 USER user
 
 # Set paths
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH
 
-# Set working directory
 WORKDIR $HOME/app
 
-# Copy requirements first (for Docker layer caching)
+# Copy and install requirements
 COPY --chown=user requirements.txt .
-
-# Install all Python dependencies
-RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
-    pip install --no-cache-dir gradio && \
-    pip install --no-cache-dir transformers accelerate diffusers && \
-    pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 && \
-    pip install --no-cache-dir opencv-python-headless pillow numpy scipy && \
-    pip install --no-cache-dir huggingface_hub hf-transfer && \
-    pip install --no-cache-dir sentencepiece protobuf && \
+RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir -r requirements.txt
 
-# Copy the complete application
+# Copy app
 COPY --chown=user app.py .
 
-# Create necessary directories
-RUN mkdir -p $HOME/app/data $HOME/.cache/huggingface
-
-# Pre-download critical models (optional - uncomment if needed)
-# RUN python -c "from huggingface_hub import snapshot_download; \
-#     snapshot_download('Qwen/Qwen2.5-7B-Instruct', cache_dir='$HF_HOME')"
-
 # Expose port
 EXPOSE 7860
 
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=120s --retries=3 \
-    CMD curl -f http://localhost:7860/ || exit 1
-
-# Launch Gradio app
+# Run app
 CMD ["python", "app.py"]

requirements.txt

@@ -1,28 +1 @@
-# Core Gradio
 gradio>=4.0
-
-# AI/ML Frameworks
-transformers>=4.30.0
-accelerate
-diffusers
-sentencepiece
-protobuf
-
-# Image Processing
-opencv-python-headless
-pillow
-imageio
-
-# Audio Processing
-librosa
-soundfile
-
-# Data Science
-numpy
-pandas
-scipy
-
-# Utilities
-huggingface_hub
-requests
-aiohttp