Force clean Docker build to fix transformers ImportError

- Upgraded pip, setuptools, wheel before installing requirements
- Added --no-cache-dir flags to prevent cached/corrupted packages
- Improved error handling with detailed diagnostics in UI
- Shows Python version, torch availability, and helpful troubleshooting tips

This should resolve the persistent ImportError for AutoTokenizer
by ensuring a completely fresh installation of all dependencies.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Dockerfile

@@ -7,8 +7,11 @@ RUN apt-get update && apt-get install -y \
 
 WORKDIR /code
 
+# Upgrade pip and install build tools
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel
+
 COPY requirements.txt .
-RUN pip install -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
 COPY . .
 

apertus_ui.py

@@ -2,8 +2,31 @@ import streamlit as st
 import os
 import xml.etree.ElementTree as ET
 import re
-import torch
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import sys
+
+# Try importing transformers with detailed error handling
+try:
+    import torch
+    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+except ImportError as e:
+    st.error(f"""
+    ### ❌ Transformers Import Error
+
+    Failed to import required transformers components: {e}
+
+    **Debug Info:**
+    - Python version: {sys.version}
+    - Torch available: {('torch' in sys.modules)}
+
+    **This usually means:**
+    1. The Docker container is still rebuilding (wait 2-5 minutes)
+    2. Dependencies weren't installed correctly
+    3. There's a version conflict in requirements.txt
+
+    Please check the HuggingFace Space build logs or try rebuilding the Space.
+    """)
+    st.stop()
+
 from huggingface_hub import InferenceClient
 from coptic_parser_core import CopticParserCore