Update app.py

app.py

@@ -2,46 +2,6 @@ import gradio as gr
 from openai import OpenAI
 import time
 
-# Predefined examples
-SETUP_EXAMPLES = [
-    ["AI Engineer", "Mid-level"],
-    ["Data Scientist", "Senior"],
-    ["ML Engineer", "Entry-level"]
-]
-
-PRACTICE_EXAMPLES = [
-    [
-        # Sample Questions
-        """Technical Questions:
-1. Can you explain the difference between supervised and unsupervised learning?
-2. How do you handle imbalanced datasets in machine learning?
-3. Can you describe a project where you used deep learning techniques?
-4. How do you evaluate the performance of a machine learning model?
-5. Can you explain the concept of overfitting and how to prevent it?
-
-Behavioral Questions:
-1. Can you describe a time when you had to work on a project with a tight deadline?
-2. Tell me about a time when you faced a technical challenge during a project.
-3. Can you give an example of teamwork experience?""",
-        
-        # Sample Answer
-        """### 1. **Supervised vs Unsupervised Learning**
-Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data...
-
-### 2. **Handling Imbalanced Data**
-Techniques include resampling, class weighting, and using appropriate evaluation metrics...
-
-[Rest of the sample answer...]"""
-    ]
-]
-
-FEEDBACK_EXAMPLE = [
-    """**Feedback on Candidate's Answers**
-**1. Supervised vs Unsupervised Learning**
-Clarity: Clear explanation with good examples...
-[Rest of the sample feedback...]"""
-]
-
 def generate_questions(api_key, role, experience):
     if not api_key:
         return "[ERROR] Please enter your OpenRouter API key"
@@ -115,48 +75,23 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         )
     
     with gr.Tab("Interview Setup"):
-        with gr.Row():
-            with gr.Column():
-                role = gr.Textbox(label="Desired Job Role")
-                experience = gr.Dropdown(
-                    label="Experience Level",
-                    choices=["Entry-level", "Mid-level", "Senior", "Executive"],
-                    value="Mid-level"
-                )
-                generate_btn = gr.Button("Generate Questions")
-                
-                # Setup examples
-                gr.Examples(
-                    examples=SETUP_EXAMPLES,
-                    inputs=[role, experience],
-                    label="Click any example to load setup:"
-                )
-
+        role = gr.Textbox(label="Desired Job Role")
+        experience = gr.Dropdown(
+            label="Experience Level",
+            choices=["Entry-level", "Mid-level", "Senior", "Executive"],
+            value="Mid-level"
+        )
+        generate_btn = gr.Button("Generate Interview Questions")
+        
     with gr.Tab("Practice Session"):
-        with gr.Row():
-            with gr.Column():
-                questions = gr.Textbox(label="Generated Questions", lines=10, interactive=False)
-                answer = gr.Textbox(label="Your Answer", lines=8, placeholder="Type your response here...")
-                feedback_btn = gr.Button("Get Feedback")
-                
-                # Practice examples
-                gr.Examples(
-                    examples=PRACTICE_EXAMPLES,
-                    inputs=[questions, answer],
-                    label="Click to load example Q&A:"
-                )
-
+        questions = gr.Textbox(label="Generated Questions", lines=10, interactive=False)
+        answer = gr.Textbox(label="Your Answer", lines=8, placeholder="Type your response here...")
+        feedback_btn = gr.Button("Get Feedback")
+        
     with gr.Tab("Feedback"):
-        with gr.Row():
-            feedback = gr.Textbox(label="Expert Feedback", lines=12, interactive=False)
-            
-            # Feedback example
-            gr.Examples(
-                examples=FEEDBACK_EXAMPLE,
-                inputs=[feedback],
-                label="Example Feedback:"
-            )
-
+        feedback = gr.Textbox(label="Expert Feedback", lines=12, interactive=False)
+    
+    # Event handlers
     generate_btn.click(
         fn=generate_questions,
         inputs=[api_key, role, experience],