Update Dockerfile

Dockerfile

@@ -1,37 +1,24 @@
-# Use an official Python base image
-FROM python:3.9-slim
+# Dockerfile
 
-# Set environment variables
-ENV TRANSFORMERS_CACHE=/app/cache
-ENV PYTHONUNBUFFERED=1
+# Use the official Python image with the desired version
+FROM python:3.9-slim
 
-# Create application directories
+# Set the working directory inside the container
 WORKDIR /app
-RUN mkdir -p /app/cache /app/app
-
-# Copy requirements file into the container
-COPY requirements.txt /app/
 
-# Install system dependencies (optional: add others if needed)
-RUN apt-get update && apt-get install -y \
-    wget \
-    && rm -rf /var/lib/apt/lists/*
+# Copy the requirements file to the working directory
+COPY requirements.txt /app
 
-# Install Python dependencies
-RUN pip install --upgrade pip
-RUN pip install -r /app/requirements.txt
+# Install the dependencies
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Install PyTorch (for CPU, change to GPU version if required)
-RUN pip install torch torchvision
+# Copy the rest of the application code to the working directory
+COPY app.py /app
 
-# Optional: Install TensorFlow if you're using it
-# RUN pip install tensorflow
-
-# Copy application code into the container
-COPY . /app/app
-
-# Expose the port Gradio will use
+# Expose the port that Gradio will run on (default is 7860)
 EXPOSE 7860
 
-# Run the Gradio app
-CMD ["python", "/app/app/app.py"]
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+
+# Command to run your application
+CMD ["python", "app.py"]