Spaces:
Sleeping
Sleeping
Commit Β·
5b0f561
1
Parent(s): 99cc145
Adding git and git-lfs to the HF spaces
Browse files- Dockerfile +6 -1
- PYABSA_FIX.md +109 -0
- src/utils/data_processor.py +36 -5
Dockerfile
CHANGED
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@@ -3,10 +3,12 @@ FROM python:3.10-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy all files first
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@@ -15,6 +17,9 @@ COPY . .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Expose port
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EXPOSE 7860
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# Set working directory
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WORKDIR /app
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# Install system dependencies including git for PyABSA
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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git \
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git-lfs \
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&& rm -rf /var/lib/apt/lists/*
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# Copy all files first
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Pre-download PyABSA checkpoint during build to avoid runtime git issues
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RUN python -c "import pyabsa; from pyabsa import ATEPCCheckpointManager; ATEPCCheckpointManager.get_checkpoint('multilingual')" || echo "PyABSA checkpoint download failed, will retry at runtime"
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+
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# Expose port
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EXPOSE 7860
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PYABSA_FIX.md
ADDED
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@@ -0,0 +1,109 @@
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# PyABSA Loading Fix - Deployment Checklist
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## Changes Made
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### 1. Dockerfile Updates β
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- Added `git` and `git-lfs` to system dependencies
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- Added PyABSA checkpoint pre-download during Docker build
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- This ensures the model is ready before the app starts
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### 2. Data Processor Improvements β
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- Added git availability check with detailed logging
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- Better error handling with full traceback
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- Attempts local checkpoint first, then downloads if needed
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- Clear status messages (β
, β, β οΈ) for easy debugging
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### 3. Environment Configuration β
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- Set `GIT_PYTHON_REFRESH=quiet` to suppress git warnings
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- Suppressed deprecation warnings from PyABSA
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## Deployment Steps
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### Option A: Redeploy to HuggingFace Spaces
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1. **Commit changes:**
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```bash
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cd c:\Users\Lenovo\insights\ABSA
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git add Dockerfile src/utils/data_processor.py
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git commit -m "Fix PyABSA loading with git installation"
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git push
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```
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2. **HF Spaces will automatically rebuild** with the new Dockerfile
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3. **Check logs** to verify PyABSA loads:
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- Look for: `β
PyABSA model loaded successfully`
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- Should NOT see: `β οΈ Using fallback method`
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### Option B: Test Locally First
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1. **Rebuild Docker image:**
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```bash
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cd c:\Users\Lenovo\insights\ABSA
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docker build -t absa-backend .
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```
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2. **Run container:**
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```bash
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docker run -p 7860:7860 --env-file .env absa-backend
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```
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3. **Check logs for:**
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```
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Git available: git version X.X.X
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β
PyABSA model loaded successfully
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```
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## Expected Behavior
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### Before Fix β
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```
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WARNING:utils.data_processor:Failed to load PyABSA model: Bad git executable
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β οΈ Using fallback method
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```
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### After Fix β
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```
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INFO:utils.data_processor:Git available: git version 2.X.X
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INFO:utils.data_processor:This may take a few minutes on first run...
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β
PyABSA model loaded successfully from downloaded checkpoint
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```
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## Troubleshooting
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### If PyABSA still fails to load:
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1. **Check Docker build logs:**
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- Verify git was installed successfully
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- Check if PyABSA checkpoint download during build succeeded
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2. **Check runtime logs:**
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- Look for full traceback after "β Failed to load PyABSA model"
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- Verify git command is available
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3. **Manual checkpoint download** (if needed):
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```python
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# Run this once to cache the checkpoint
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import pyabsa
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from pyabsa import ATEPCCheckpointManager
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checkpoint = ATEPCCheckpointManager.get_checkpoint('multilingual')
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print(f"Checkpoint saved to: {checkpoint}")
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```
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## What This Fixes
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- β
PyABSA can now download checkpoints (git available)
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- β
Better error messages for debugging
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- β
Checkpoint pre-downloaded during build (faster startup)
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- β
Fallback still works if PyABSA fails
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- β
No more cryptic git errors in production
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## Next Steps
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After successful deployment, verify in HF Spaces logs:
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1. Git is detected
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2. PyABSA loads without errors
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3. Reviews are processed with actual aspect extraction (not fallback)
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---
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**Deploy now:** Push changes to trigger HF Spaces rebuild! π
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src/utils/data_processor.py
CHANGED
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@@ -18,6 +18,9 @@ import requests
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import os
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import time
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def _load_pyabsa_model(self):
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"""Load PyABSA multilingual model with caching."""
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try:
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import pyabsa
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from pyabsa import ATEPCCheckpointManager
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#
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-
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-
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-
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except Exception as e:
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-
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self.model = None
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def set_task_manager(self, task_manager):
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import os
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import time
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# Suppress GitPython warnings for PyABSA
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os.environ['GIT_PYTHON_REFRESH'] = 'quiet'
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def _load_pyabsa_model(self):
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"""Load PyABSA multilingual model with caching."""
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try:
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# Suppress additional git warnings
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import warnings
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warnings.filterwarnings('ignore', category=DeprecationWarning)
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import pyabsa
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from pyabsa import ATEPCCheckpointManager
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# Check if git is available
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try:
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import subprocess
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git_check = subprocess.run(['git', '--version'], capture_output=True, timeout=5)
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if git_check.returncode == 0:
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logger.info(f"Git available: {git_check.stdout.decode().strip()}")
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else:
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logger.warning("Git command failed, PyABSA may have issues downloading checkpoints")
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except Exception as git_err:
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logger.warning(f"Git not found or not executable: {str(git_err)}")
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# Try local checkpoint first (if exists in checkpoints/ directory)
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local_checkpoint = os.path.join(os.path.dirname(__file__), '..', '..', 'checkpoints', 'ATEPC_MULTILINGUAL_CHECKPOINT')
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if os.path.exists(local_checkpoint):
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logger.info(f"Loading PyABSA from local checkpoint: {local_checkpoint}")
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self.model = pyabsa.load_aspect_extractor(checkpoint=local_checkpoint)
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logger.info("β
PyABSA model loaded successfully from local checkpoint")
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else:
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# Fallback to downloading checkpoint (requires git)
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logger.info("Local checkpoint not found, downloading multilingual checkpoint...")
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logger.info("This may take a few minutes on first run...")
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checkpoint = ATEPCCheckpointManager.get_checkpoint('multilingual')
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self.model = pyabsa.load_aspect_extractor(checkpoint=checkpoint)
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logger.info("β
PyABSA model loaded successfully from downloaded checkpoint")
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except Exception as e:
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import traceback
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logger.error(f"β Failed to load PyABSA model: {str(e)}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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logger.warning("β οΈ Using fallback method for aspect extraction")
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self.model = None
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def set_task_manager(self, task_manager):
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