add docker sdk

Dockerfile

@@ -0,0 +1,41 @@
+# Use Python 3.10-slim to meet esm's requirements
+FROM python:3.10-slim
+
+# Set up time zone
+ENV TZ=UTC
+RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    wget \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+# Install Python dependencies
+RUN pip install --upgrade pip
+RUN pip install -r requirements.txt
+
+# # Install ESM
+# RUN pip install esm
+
+# Simulate NVIDIA driver for Hugging Face Spaces
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+
+# Set the command to run the Gradio app
+CMD ["python", "main.py"]

README.md

@@ -3,11 +3,9 @@ title: Conformity Protein Dynamics
 emoji: 🧬🪬
 colorFrom: indigo
 colorTo: purple
-sdk: gradio
-app_file: app.py
+sdk: docker
 pinned: true
 license: mit
-short_description: 'use the ESM3 model to predict protein structures'
 ---
 
 To create a virtual environment on a Windows machine and run your Gradio app (`app.py`) after installing the dependencies listed in `requirements.txt`, follow these steps: