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Create app.py
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app.py
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"""
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EduTutor AI - Main Application Entry Point
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Simplified main file to avoid ClamAV issues
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"""
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import subprocess
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import sys
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def install_requirements():
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"""Install required packages if not available"""
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required_packages = [
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'torch', 'transformers', 'huggingface-hub',
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'gradio', 'sympy', 'numpy'
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]
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for package in required_packages:
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try:
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__import__(package)
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except ImportError:
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print(f"Installing {package}...")
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subprocess.check_call([sys.executable, "-m", "pip", "install", package])
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# Install requirements before importing
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install_requirements()
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# Import our modular components
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from core.tutor_ai import EduTutorAI
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from core.features import EducationalFeatures
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from interface.gradio_app import create_gradio_interface
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from utils.setup import setup_environment
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def main():
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"""Main function to run the EduTutor AI application"""
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print("🎓 Starting EduTutor AI Application...")
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# Setup environment
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setup_environment()
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# Initialize components
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ai_tutor = EduTutorAI()
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features = EducationalFeatures(ai_tutor)
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# Load model
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model_ready = ai_tutor.load_model()
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if not model_ready:
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print("⚠️ Warning: AI model failed to load. Using fallback responses.")
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# Create and launch interface
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print("🌐 Creating web interface...")
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gradio_app = create_gradio_interface(ai_tutor, features)
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print("🚀 Launching EduTutor AI on port 7860...")
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print("🌟 EduTutor AI is now ready!")
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print("💡 Features available:")
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print(" • 🤖 AI Chat Tutor")
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print(" • 📊 Advanced Homework Analyzer")
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print(" • 📝 Interactive Quizzes")
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print(" • 📋 Study Plan Generator")
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print(" • 📈 Progress Tracking")
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gradio_app.launch(
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server_port=7860,
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server_name="0.0.0.0",
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share=True,
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show_error=True,
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quiet=False
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)
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if __name__ == "__main__":
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main()
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