Update app.py

app.py

@@ -38,55 +38,38 @@ def generate_challenge(topic, level):
         return "Error in generating challenge: " + str(e)
 
 def tutor_interface(name, experience, goals, topic, request_challenge=False):
-    # Validate inputs
-    if not all([name, experience, goals, topic]):
-        return "Please fill in all required fields."
-
-    # Generate adaptive content
+    # Assess knowledge and generate explanation as before
     level = assess_knowledge(name, experience, goals)
     explanation = generate_explanation(topic, level)
-
+    
+    # Generate challenge if requested
     if request_challenge:
         challenge = generate_challenge(topic, level)
-        return f"**Level:** {level}\n\n**Explanation:**\n{explanation}\n\n**Challenge:**\n{challenge}"
+        return f"Level: {level}\nExplanation:\n{explanation}\n\nChallenge:\n{challenge}"
     else:
-        return f"**Level:** {level}\n\n**Explanation:**\n{explanation}"
-
-# Gradio UI setup with theme and structured layout
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("""
-        # Adaptive Computer Science Tutor
-
-        Welcome to your personalized Computer Science Tutor! This tutor adapts to your level and learning pace,
-        offering explanations and practice challenges in areas like data structures, algorithms, and more.
-
-        ### How It Works
-        1. Enter your background and goals.
-        2. Choose a topic you want to learn.
-        3. Get adaptive explanations and challenges suited to your level.
-    """)
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            name = gr.Textbox(label="Your Name", placeholder="Enter your name")
-            experience = gr.Textbox(label="Programming Experience", placeholder="e.g., Beginner, 2 years Python")
-
-        with gr.Column(scale=1):
-            goals = gr.Textbox(label="Learning Goals", placeholder="What do you want to achieve?")
-            topic = gr.Textbox(label="Topic of Interest", placeholder="e.g., Binary Search, Arrays")
-
-    request_challenge = gr.Checkbox(label="Include a practice challenge", value=False)
+        return f"Level: {level}\nExplanation:\n{explanation}"
+
+# Updated Gradio interface with challenge request option
+with gr.Blocks() as demo:
+    gr.Markdown("## Adaptive Computer Science Tutor")
+    
+    # Inputs for user details and topic
+    name = gr.Textbox(label="Your Name")
+    experience = gr.Textbox(label="Describe your experience with programming.")
+    goals = gr.Textbox(label="What are your learning goals?")
+    topic = gr.Textbox(label="Topic you'd like to learn about")
+    request_challenge = gr.Checkbox(label="Would you like a practice challenge?")
+    
+    # Output
+    output = gr.Markdown(label="Tutor's Response")
+    
+    # Submit button
+    submit_button = gr.Button("Get Started")
+    submit_button.click(tutor_interface, inputs=[name, experience, goals, topic, request_challenge], outputs=output)
 
-    # Output display with markdown formatting
-    output = gr.Markdown(label="Tutor's Response", min_height=30)
+# Launch the interface
+demo.launch()
 
-    # Submit button
-    submit_button = gr.Button("Get Started", variant="primary")
-    submit_button.click(
-        fn=tutor_interface,
-        inputs=[name, experience, goals, topic, request_challenge],
-        outputs=[output]
-    )
 
 # Launch the app
 if __name__ == "__main__":