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| import os | |
| import gradio as gr | |
| import pandas as pd | |
| import numpy as np | |
| from ai_chatbot import AIChatbot | |
| from database_recommender import CourseRecommender | |
| import warnings | |
| import logging | |
| # Suppress warnings | |
| warnings.filterwarnings('ignore') | |
| logging.getLogger('tensorflow').setLevel(logging.ERROR) | |
| # Initialize components | |
| try: | |
| chatbot = AIChatbot() | |
| print("✅ Chatbot initialized successfully") | |
| except Exception as e: | |
| print(f"⚠️ Warning: Could not initialize chatbot: {e}") | |
| chatbot = None | |
| try: | |
| recommender = CourseRecommender() | |
| print("✅ Recommender initialized successfully") | |
| except Exception as e: | |
| print(f"⚠️ Warning: Could not initialize recommender: {e}") | |
| recommender = None | |
| def chat_with_bot(message, history): | |
| """Handle chatbot interactions""" | |
| if chatbot is None: | |
| return "Sorry, the chatbot is not available at the moment. Please try again later." | |
| if not message.strip(): | |
| return "Please enter a question." | |
| # Get answer from chatbot | |
| answer, confidence = chatbot.find_best_match(message) | |
| # Get suggested questions | |
| suggested_questions = chatbot.get_suggested_questions(message) | |
| # Format response | |
| response = f"**Answer:** {answer}\n\n" | |
| response += f"**Confidence:** {confidence:.2f}\n\n" | |
| if suggested_questions: | |
| response += "**Suggested Questions:**\n" | |
| for i, q in enumerate(suggested_questions, 1): | |
| response += f"{i}. {q}\n" | |
| return response | |
| def get_course_recommendations(stanine, gwa, strand, hobbies): | |
| """Get course recommendations""" | |
| if recommender is None: | |
| return "Sorry, the recommendation system is not available at the moment. Please try again later." | |
| try: | |
| # Validate inputs | |
| stanine = int(stanine) | |
| gwa = float(gwa) | |
| if not (1 <= stanine <= 9): | |
| return "❌ Stanine score must be between 1 and 9" | |
| if not (75 <= gwa <= 100): | |
| return "❌ GWA must be between 75 and 100" | |
| if not strand: | |
| return "❌ Please select a strand" | |
| if not hobbies.strip(): | |
| return "❌ Please enter your hobbies/interests" | |
| # Get recommendations | |
| recommendations = recommender.recommend_courses( | |
| stanine=stanine, | |
| gwa=gwa, | |
| strand=strand, | |
| hobbies=hobbies | |
| ) | |
| if not recommendations: | |
| return "No recommendations available at the moment." | |
| # Format recommendations | |
| response = f"## 🎯 Course Recommendations for You\n\n" | |
| response += f"**Profile:** Stanine {stanine}, GWA {gwa}, {strand} Strand\n" | |
| response += f"**Interests:** {hobbies}\n\n" | |
| for i, rec in enumerate(recommendations, 1): | |
| response += f"### {i}. {rec['code']} - {rec['name']}\n" | |
| response += f"**Match Score:** {rec.get('rating', rec.get('probability', 0)):.1f}%\n\n" | |
| return response | |
| except Exception as e: | |
| return f"❌ Error getting recommendations: {str(e)}" | |
| def get_faqs(): | |
| """Get available FAQs""" | |
| if chatbot and chatbot.faqs: | |
| faq_text = "## 📚 Frequently Asked Questions\n\n" | |
| for i, faq in enumerate(chatbot.faqs, 1): | |
| faq_text += f"**{i}. {faq['question']}**\n" | |
| faq_text += f"{faq['answer']}\n\n" | |
| return faq_text | |
| return "No FAQs available at the moment." | |
| def get_available_courses(): | |
| """Get available courses""" | |
| if recommender and recommender.courses: | |
| course_text = "## 🎓 Available Courses\n\n" | |
| for code, name in recommender.courses.items(): | |
| course_text += f"**{code}** - {name}\n" | |
| return course_text | |
| return "No courses available at the moment." | |
| # Create Gradio interface | |
| with gr.Blocks(title="PSAU AI Chatbot & Course Recommender", theme=gr.themes.Soft()) as demo: | |
| gr.Markdown( | |
| """ | |
| # 🤖 PSAU AI Chatbot & Course Recommender | |
| Welcome to the Pangasinan State University AI-powered admission assistant! | |
| Get instant answers to your questions and receive personalized course recommendations. | |
| """ | |
| ) | |
| with gr.Tabs(): | |
| # Chatbot Tab | |
| with gr.Tab("🤖 AI Chatbot"): | |
| gr.Markdown("Ask me anything about university admissions, requirements, or general information!") | |
| chatbot_interface = gr.ChatInterface( | |
| fn=chat_with_bot, | |
| title="PSAU Admission Assistant", | |
| description="Type your question below and get instant answers!", | |
| examples=[ | |
| "What are the admission requirements?", | |
| "When is the application deadline?", | |
| "How much is the tuition fee?", | |
| "Do you offer scholarships?", | |
| "What courses are available?" | |
| ], | |
| cache_examples=True | |
| ) | |
| # Course Recommender Tab | |
| with gr.Tab("🎯 Course Recommender"): | |
| gr.Markdown("Get personalized course recommendations based on your academic profile and interests!") | |
| with gr.Row(): | |
| with gr.Column(): | |
| stanine_input = gr.Slider( | |
| minimum=1, maximum=9, step=1, value=7, | |
| label="Stanine Score (1-9)", | |
| info="Your stanine score from entrance examination" | |
| ) | |
| gwa_input = gr.Slider( | |
| minimum=75, maximum=100, step=0.1, value=85.0, | |
| label="GWA (75-100)", | |
| info="Your General Weighted Average" | |
| ) | |
| strand_input = gr.Dropdown( | |
| choices=["STEM", "ABM", "HUMSS"], | |
| value="STEM", | |
| label="High School Strand", | |
| info="Your senior high school strand" | |
| ) | |
| hobbies_input = gr.Textbox( | |
| label="Hobbies & Interests", | |
| placeholder="e.g., programming, gaming, business, teaching, healthcare...", | |
| info="Describe your interests and hobbies" | |
| ) | |
| recommend_btn = gr.Button("Get Recommendations", variant="primary") | |
| with gr.Column(): | |
| recommendations_output = gr.Markdown() | |
| recommend_btn.click( | |
| fn=get_course_recommendations, | |
| inputs=[stanine_input, gwa_input, strand_input, hobbies_input], | |
| outputs=recommendations_output | |
| ) | |
| # Information Tab | |
| with gr.Tab("📚 Information"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown("### FAQ Section") | |
| faq_btn = gr.Button("Show FAQs") | |
| faq_output = gr.Markdown() | |
| faq_btn.click(fn=get_faqs, outputs=faq_output) | |
| with gr.Column(): | |
| gr.Markdown("### Available Courses") | |
| courses_btn = gr.Button("Show Courses") | |
| courses_output = gr.Markdown() | |
| courses_btn.click(fn=get_available_courses, outputs=courses_output) | |
| if __name__ == "__main__": | |
| demo.launch( | |
| server_name="0.0.0.0", | |
| server_port=7860, | |
| share=False, | |
| show_error=True | |
| ) | |