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#!/bin/bash
# Script to fix numpy availability issue in Video Action Recognition
# This script handles the directory with spaces in the name
# Get the directory where this script is located
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
echo "Video Action Recognition - Numpy Fix Script"
echo "============================================"
echo "Working directory: $SCRIPT_DIR"
echo ""
# Check if we're in the right directory
if [[ ! -f "$SCRIPT_DIR/requirements.txt" ]]; then
echo "❌ Error: requirements.txt not found"
echo "Make sure you're running this script from the Video Action Recognition directory"
exit 1
fi
# Check if virtual environment exists
if [[ ! -d "$SCRIPT_DIR/.venv" ]]; then
echo "❌ Error: Virtual environment not found"
echo "Creating virtual environment..."
cd "$SCRIPT_DIR"
python3 -m venv .venv
if [[ $? -ne 0 ]]; then
echo "❌ Failed to create virtual environment"
exit 1
fi
echo "✅ Virtual environment created"
fi
# Activate virtual environment
echo "Activating virtual environment..."
source "$SCRIPT_DIR/.venv/bin/activate"
if [[ "$VIRTUAL_ENV" == "" ]]; then
echo "❌ Failed to activate virtual environment"
exit 1
fi
echo "✅ Virtual environment activated: $VIRTUAL_ENV"
# Upgrade pip first
echo ""
echo "Upgrading pip..."
python -m pip install --upgrade pip
# Check current numpy status
echo ""
echo "Checking current numpy status..."
python -c "import numpy; print(f'✅ Numpy version: {numpy.__version__}')" 2>/dev/null
NUMPY_STATUS=$?
if [[ $NUMPY_STATUS -eq 0 ]]; then
echo "✅ Numpy is already working"
else
echo "❌ Numpy not available, fixing..."
# Force reinstall numpy
echo "Force reinstalling numpy..."
python -m pip install --force-reinstall --no-cache-dir "numpy>=1.24.0"
# Install other dependencies
echo "Installing/updating other dependencies..."
python -m pip install --upgrade "Pillow>=10.0.0"
python -m pip install --upgrade "opencv-python>=4.9.0"
# Install all requirements
echo "Installing from requirements.txt..."
python -m pip install -r "$SCRIPT_DIR/requirements.txt"
fi
# Final test
echo ""
echo "Testing final configuration..."
python -c "
try:
import numpy as np
print(f'✅ Numpy: {np.__version__}')
import torch
print(f'✅ PyTorch: {torch.__version__}')
from PIL import Image
print('✅ PIL: Available')
import cv2
print(f'✅ OpenCV: {cv2.__version__}')
from transformers import AutoImageProcessor
print('✅ Transformers: Available')
# Test the specific numpy operations used in video processing
test_array = np.array([[[1, 2, 3], [4, 5, 6]]], dtype=np.float32)
stacked = np.stack([test_array, test_array], axis=0)
print(f'✅ Numpy operations work: shape {stacked.shape}')
print('')
print('🎉 All dependencies are working correctly!')
except Exception as e:
print(f'❌ Error: {e}')
print('')
print('❌ Some dependencies are still not working')
exit(1)
"
if [[ $? -eq 0 ]]; then
echo ""
echo "✅ Fix completed successfully!"
echo ""
echo "You can now run your app with:"
echo " source .venv/bin/activate"
echo " streamlit run app.py"
echo ""
echo "Or use the run script:"
echo " ./run_app.sh"
else
echo ""
echo "❌ Issues remain. Try these additional steps:"
echo "1. Delete and recreate the virtual environment:"
echo " rm -rf .venv"
echo " python3 -m venv .venv"
echo " source .venv/bin/activate"
echo " pip install -r requirements.txt"
echo ""
echo "2. Check your Python installation"
echo "3. Try using a different Python version"
fi
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