FINAL FIX: Separated torch installation from accelerate/transformers to use correct PyPI index

Dockerfile

@@ -1,4 +1,4 @@
-# Use a Debian-based Python image. This is robust for complex scientific libraries.
+# Use a Debian-based Python image.
 FROM python:3.10
 
 # Set the working directory
@@ -18,16 +18,17 @@ COPY app.py .
 # 1. Upgrade pip for stability
 RUN pip install --upgrade pip
 
-# 2. Install complex, device-dependent packages explicitly for CPU.
-# This ensures that PyTorch, Accelerate, and core Hugging Face libraries
-# are correctly linked and installed before other dependencies.
+# 2. Install PyTorch ONLY, using the CPU-specific index.
+RUN pip install torch --index-url https://download.pytorch.org/whl/cpu
+
+# 3. Install all remaining complex and general dependencies using the standard index (PyPI).
+# We install these explicitly here since they were previously excluded from requirements.txt
 RUN pip install \
-    torch --index-url https://download.pytorch.org/whl/cpu \
     accelerate \
     transformers \
     huggingface-hub
 
-# 3. Install the remaining dependencies from the trimmed requirements.txt
+# 4. Install the final, smaller dependencies from the trimmed requirements.txt
 RUN pip install -r requirements.txt
 
 # --- END INSTALLATION ---