Create app.py

app.py

@@ -0,0 +1,234 @@
+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
+    )