Update Dockerfile

Dockerfile

@@ -1,41 +1,34 @@
+# Base
 FROM python:3.10-slim
-RUN apt-get update && apt-get install -y --no-install-recommends libgomp1 && rm -rf /var/lib/apt/lists/*
+
+# System deps for LightGBM (OpenMP)
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends libgomp1 \
+ && rm -rf /var/lib/apt/lists/*
+
+# App workdir
 WORKDIR /app
+
+# Copy files first (owned by root initially)
+COPY app.py . 
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt && pip install --no-cache-dir huggingface_hub
-
-# Generate app.py during build so it's not in the repo
-RUN python - <<'PY'
-import textwrap, pathlib
-code = """
-import os
-from huggingface_hub import hf_hub_download
-from pycaret.classification import load_model, predict_model
-import gradio as gr
-import pandas as pd
-
-REPO = os.getenv("MODEL_REPO", "GDMProjects/my-private-model")
-FNAME = os.getenv("MODEL_FILE", "subset_best_model.pkl")
-TOKEN = os.getenv("HF_TOKEN")
-
-local_path = hf_hub_download(repo_id=REPO, filename=FNAME, token=TOKEN)
-model = load_model(local_path)
-
-def infer(csv_text):
-    df = pd.read_csv(pd.compat.StringIO(csv_text)) if "," in csv_text else pd.read_csv(csv_text)
-    out = predict_model(model, data=df)
-    return out.to_csv(index=False)
-
-demo = gr.Interface(fn=infer, inputs=gr.Textbox(lines=8, label="CSV (paste) or path"),
-                    outputs=gr.Textbox(label="Predictions CSV"))
-if __name__ == "__main__":
-    import os
-    port = int(os.getenv("PORT", "7860"))
-    demo.launch(server_name="0.0.0.0", server_port=port)
-"""
-pathlib.Path("app.py").write_text(textwrap.dedent(code), encoding="utf-8")
-PY
-
-ENV GRADIO_SERVER_NAME=0.0.0.0 MPLCONFIGDIR=/tmp/matplotlib PYTHONUNBUFFERED=1
+COPY subset_best_model.pkl .
+COPY GTT.csv .
+
+# Install Python deps
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make /app writable for the runtime user to avoid PyCaret logging warnings
+# (Hugging Face Spaces often runs as a non-root user)
+RUN chmod -R a+rw /app
+
+# Optional: pre-create a writable log file to silence the warning completely
+RUN touch /app/logs.log && chmod 666 /app/logs.log
+
+# Gradio / Matplotlib envs
 EXPOSE 7860
+ENV GRADIO_SERVER_NAME=0.0.0.0
+ENV MPLCONFIGDIR=/tmp/matplotlib
+ENV PYTHONUNBUFFERED=1
+
 CMD ["python", "app.py"]