Update Dockerfile

Dockerfile

@@ -1,27 +1,27 @@
+# Dockerfile
 FROM python:3.11-slim
 
-ENV PYTHONUNBUFFERED=1 \
+# Optional: speed up HF downloads & cache in container
+ENV HF_HOME=/data/huggingface \
+    HF_HUB_ENABLE_HF_TRANSFER=1 \
     PIP_NO_CACHE_DIR=1 \
-    HF_HOME=/data/huggingface
+    PYTHONUNBUFFERED=1
 
-# Create a writable, persistent cache directory in Spaces
-RUN mkdir -p /data/huggingface && chmod -R 777 /data
+# -------- MODEL CONFIG --------
+# Build-time overrideable default
+ARG MODEL_ID=ethnmcl/checkin-lora-gpt2
+# Runtime ENV (can still be overridden by deploy env)
+ENV MODEL_ID=${MODEL_ID}
 
-# (Optional) system tools
-RUN apt-get update && apt-get install -y --no-install-recommends git && rm -rf /var/lib/apt/lists/*
+# Optional: if private model, pass HF_TOKEN at runtime only (not here)
+# ENV HF_TOKEN=...
 
 WORKDIR /app
 COPY requirements.txt /app/requirements.txt
+RUN pip install --upgrade pip && pip install -r requirements.txt
 
-# Install CPU torch first (smaller, no CUDA), then the rest
-RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu torch==2.3.1+cpu \
- && pip install --no-cache-dir -r /app/requirements.txt
-
-COPY main.py /app/main.py
+COPY . /app
 
 EXPOSE 7860
-ENV MODEL_ID="ethnmcl/checkin-gpt2"
-# If the model repo is private, set a Space Secret named HF_TOKEN (Settings → Secrets)
-
-CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]