Delete app.py

app.py

@@ -1,234 +0,0 @@
-import gradio as gr
-from chatbot import Chatbot
-import json
-
-# Initialize chatbot
-chatbot = Chatbot()
-
-def chat_interface(message, history):
-    """Handle chat interface with Gradio"""
-    if not message.strip():
-        return "Please enter a message."
-    
-    # Get response from chatbot
-    response = chatbot.get_response(message)
-    
-    # Format the response for display (removed confidence)
-    if response['status'] == 'success':
-        formatted_response = response['answer']
-    else:
-        formatted_response = response['answer']
-    
-    return formatted_response
-
-def get_system_info():
-    """Get system information"""
-    faq_count = chatbot.get_qa_count()
-    return f"System Status: ✅ Active\nFAQ Pairs Loaded: {faq_count}\nCourse Recommender: ✅ Ready"
-
-def get_course_recommendations(stanine, gwa, strand, hobbies):
-    """Get course recommendations"""
-    return chatbot.get_course_recommendations(stanine, gwa, strand, hobbies)
-
-# Create Gradio interface
-with gr.Blocks(
-    title="AI Chatbot",
-    theme=gr.themes.Soft(),
-    css="""
-    .gradio-container {
-        max-width: 800px !important;
-        margin: auto !important;
-    }
-    .chat-message {
-        padding: 10px;
-        margin: 5px 0;
-        border-radius: 10px;
-    }
-    """
-) as demo:
-    
-    gr.Markdown(
-        """
-        # 🤖 AI Student Assistant
-        
-        Get answers to your questions and personalized course recommendations!
-        
-        **Features:**
-        - FAQ Chat: Get instant answers from our knowledge base
-        - Course Recommendations: Get personalized course suggestions based on your profile
-        """
-    )
-    
-    with gr.Tabs():
-        with gr.TabItem("💬 FAQ Chat"):
-            with gr.Row():
-                with gr.Column(scale=3):
-                    chatbot_interface = gr.Chatbot(
-                        label="FAQ Chat",
-                        height=400,
-                        show_label=True,
-                        container=True,
-                        bubble_full_width=False
-                    )
-                    
-                    with gr.Row():
-                        msg = gr.Textbox(
-                            placeholder="Type your question here...",
-                            show_label=False,
-                            scale=4,
-                            container=False
-                        )
-                        submit_btn = gr.Button("Send", variant="primary", scale=1)
-                
-                with gr.Column(scale=1):
-                    gr.Markdown("### System Info")
-                    system_info = gr.Textbox(
-                        value=get_system_info(),
-                        label="Status",
-                        interactive=False,
-                        lines=4
-                    )
-                    
-                    refresh_btn = gr.Button("Refresh Status", variant="secondary")
-                    
-                    gr.Markdown("### FAQ Instructions")
-                    gr.Markdown(
-                        """
-                        **How to use:**
-                        1. Type your question in the text box
-                        2. Click Send or press Enter
-                        3. Get AI-powered answers from FAQ database
-                        
-                        **Tips:**
-                        - Ask specific questions for better results
-                        - Try rephrasing if you don't get a good match
-                        """
-                    )
-        
-        with gr.TabItem("🎯 Course Recommendations"):
-            with gr.Row():
-                with gr.Column(scale=2):
-                    gr.Markdown("### 📝 Student Profile")
-                    
-                    stanine_input = gr.Slider(
-                        minimum=1,
-                        maximum=9,
-                        step=1,
-                        value=5,
-                        label="Stanine Score (1-9)",
-                        info="Your stanine score from standardized tests"
-                    )
-                    
-                    gwa_input = gr.Slider(
-                        minimum=75,
-                        maximum=100,
-                        step=0.1,
-                        value=85,
-                        label="GWA (75-100)",
-                        info="Your General Weighted Average"
-                    )
-                    
-                    strand_input = gr.Dropdown(
-                        choices=["STEM", "ABM", "HUMSS"],
-                        label="Senior High School Strand",
-                        info="Select your SHS strand"
-                    )
-                    
-                    hobbies_input = gr.Textbox(
-                        label="Hobbies & Interests",
-                        placeholder="e.g., programming, gaming, business, teaching...",
-                        lines=3,
-                        info="Describe your interests and hobbies"
-                    )
-                    
-                    recommend_btn = gr.Button("Get Recommendations", variant="primary", size="lg")
-                
-                with gr.Column(scale=3):
-                    gr.Markdown("### 🎯 Your Course Recommendations")
-                    recommendations_output = gr.Markdown(
-                        value="Enter your profile details and click 'Get Recommendations' to see personalized course suggestions.",
-                        label="Recommendations"
-                    )
-                    
-                    gr.Markdown("### 📚 Available Courses")
-                    gr.Markdown(
-                        """
-                        **STEM Courses:**
-                        - BSCS: Bachelor of Science in Computer Science
-                        - BSIT: Bachelor of Science in Information Technology
-                        - BSArch: Bachelor of Science in Architecture
-                        - BSIE: Bachelor of Science in Industrial Engineering
-                        - BSN: Bachelor of Science in Nursing
-                        
-                        **ABM Courses:**
-                        - BSBA: Bachelor of Science in Business Administration
-                        - BSA: Bachelor of Science in Accountancy
-                        
-                        **HUMSS Courses:**
-                        - BSED: Bachelor of Science in Education
-                        - BSPsych: Bachelor of Science in Psychology
-                        
-                        **Other Courses:**
-                        - BSHM: Bachelor of Science in Hospitality Management
-                        - BSAgri: Bachelor of Science in Agriculture
-                        """
-                    )
-    
-    # Event handlers
-    def user(user_message, history):
-        return "", history + [[user_message, None]]
-    
-    def bot(history):
-        user_message = history[-1][0]
-        bot_message = chat_interface(user_message, history)
-        history[-1][1] = bot_message
-        return history
-    
-    def refresh_system_info():
-        return get_system_info()
-    
-    # Connect FAQ Chat events
-    submit_btn.click(
-        fn=user,
-        inputs=[msg, chatbot_interface],
-        outputs=[msg, chatbot_interface],
-        queue=False
-    ).then(
-        fn=bot,
-        inputs=chatbot_interface,
-        outputs=chatbot_interface,
-        queue=True
-    )
-    
-    msg.submit(
-        fn=user,
-        inputs=[msg, chatbot_interface],
-        outputs=[msg, chatbot_interface],
-        queue=False
-    ).then(
-        fn=bot,
-        inputs=chatbot_interface,
-        outputs=chatbot_interface,
-        queue=True
-    )
-    
-    # Connect Course Recommendation events
-    recommend_btn.click(
-        fn=get_course_recommendations,
-        inputs=[stanine_input, gwa_input, strand_input, hobbies_input],
-        outputs=recommendations_output
-    )
-    
-    refresh_btn.click(
-        fn=refresh_system_info,
-        outputs=system_info
-    )
-
-if __name__ == "__main__":
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False,
-        show_error=True,
-        quiet=False
-    )