trying something else

Dockerfile

@@ -1,20 +1,28 @@
-# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
 # you will also find guides on how best to write your Dockerfile
 
 FROM python:3.9
 
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" with user ID 1000
 RUN useradd -m -u 1000 user
-USER user
-ENV PATH="/home/user/.local/bin:$PATH"
 
-WORKDIR /app
+# Switch to the "user" user
+USER user
 
-COPY --chown=user ./requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
 
-COPY --chown=user . /app
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
 
-# Fast API 
-# ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
-CMD ["python", "app.py"]
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
 
+CMD ["python", "main.py"]

app.py → main.py

@@ -1,17 +1,20 @@
 import gradio as gr
-import subprocess
 
 def greet(input_text):
     # Example call to a compiled llama.cpp binary (replace with real model path)
     # subprocess.run(["./llama.cpp/main", "-m", "models/llama-7b.gguf", "-p", input_text])
     return f"Llama.cpp would process: {input_text}"
 
-demo = gr.Interface(
-    fn=greet,
-    inputs=gr.Textbox(label="Enter text"),
-    outputs="text",
-    title="Llama.cpp + Gradio Demo"
-)
+def run():
+    
+    demo = gr.Interface(
+        fn=greet,
+        inputs=gr.Textbox(label="Enter text"),
+        outputs="text",
+        title="Llama.cpp + Gradio Demo"
+    )
 
-if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)
+
+if __name__ == "__main__":
+    run()