Update app.py

app.py

@@ -1,7 +1,166 @@
 import gradio as gr
+import openai
+import os
+from typing import List, Tuple
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Initialize OpenAI client
+def initialize_openai():
+    """Initialize OpenAI client with API key"""
+    api_key = os.getenv('OPENAI_API_KEY')
+    if not api_key:
+        raise ValueError("Please set your OPENAI_API_KEY environment variable")
+    return openai.OpenAI(api_key=api_key)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+def generate_qa_pairs(topic: str, difficulty: str = "Medium") -> str:
+    """
+    Generate 10 questions and answers for a given topic using GPT-4 Mini
+    
+    Args:
+        topic (str): The topic to generate Q&A pairs for
+        difficulty (str): Difficulty level (Easy, Medium, Hard)
+    
+    Returns:
+        str: Formatted Q&A pairs
+    """
+    try:
+        client = initialize_openai()
+        
+        # Create the prompt
+        prompt = f"""Generate exactly 10 questions and answers about the topic: "{topic}"
+
+Requirements:
+- Difficulty level: {difficulty}
+- Questions should be diverse and cover different aspects of the topic
+- Answers should be comprehensive but concise (2-4 sentences each)
+- Format each Q&A pair clearly with "Q:" and "A:" labels
+- Number each pair (1-10)
+
+Topic: {topic}
+Difficulty: {difficulty}
+
+Please generate the questions and answers now:"""
+
+        # Make API call to GPT-4 Mini
+        response = client.chat.completions.create(
+            model="gpt-4o-mini",  # Updated model name
+            messages=[
+                {
+                    "role": "system", 
+                    "content": "You are an expert educator who creates high-quality questions and answers on various topics. Your responses are well-structured, accurate, and educational."
+                },
+                {
+                    "role": "user", 
+                    "content": prompt
+                }
+            ],
+            max_tokens=2000,
+            temperature=0.7
+        )
+        
+        return response.choices[0].message.content
+        
+    except openai.AuthenticationError:
+        return "❌ Authentication Error: Please check your OpenAI API key."
+    except openai.RateLimitError:
+        return "❌ Rate Limit Error: You've exceeded your API quota. Please try again later."
+    except openai.APIError as e:
+        return f"❌ OpenAI API Error: {str(e)}"
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+def create_interface():
+    """Create and configure the Gradio interface"""
+    
+    with gr.Blocks(
+        title="Q&A Generator with GPT-4 Mini",
+        theme=gr.themes.Soft(),
+        css="""
+        .main-header {
+            text-align: center;
+            margin-bottom: 2rem;
+        }
+        .qa-output {
+            font-family: 'Georgia', serif;
+            line-height: 1.6;
+        }
+        """
+    ) as interface:
+        
+        gr.HTML("""
+        <div class="main-header">
+            <h1>🤖 Q&A Generator</h1>
+            <p>Generate 10 comprehensive questions and answers on any topic using GPT-4 Mini</p>
+        </div>
+        """)
+        
+        with gr.Row():
+            with gr.Column(scale=2):
+                topic_input = gr.Textbox(
+                    label="Topic",
+                    placeholder="Enter any topic (e.g., 'Climate Change', 'Machine Learning', 'Ancient Rome')",
+                    lines=2
+                )
+                
+                difficulty_dropdown = gr.Dropdown(
+                    label="Difficulty Level",
+                    choices=["Easy", "Medium", "Hard"],
+                    value="Medium"
+                )
+                
+                generate_btn = gr.Button(
+                    "Generate Q&A Pairs",
+                    variant="primary",
+                    size="lg"
+                )
+            
+            with gr.Column(scale=1):
+                gr.HTML("""
+                <div style="padding: 1rem; background-color: #f0f8ff; border-radius: 8px; margin-top: 1rem;">
+                    <h3>📝 Instructions:</h3>
+                    <ol>
+                        <li>Enter a topic you want to learn about</li>
+                        <li>Choose difficulty level</li>
+                        <li>Click "Generate Q&A Pairs"</li>
+                    </ol>
+                    <p><strong>Note:</strong> Make sure to set your <code>OPENAI_API_KEY</code> environment variable before running.</p>
+                </div>
+                """)
+        
+        qa_output = gr.Textbox(
+            label="Generated Questions & Answers",
+            lines=25,
+            max_lines=50,
+            elem_classes=["qa-output"],
+            show_copy_button=True
+        )
+        
+        # Example topics for quick testing
+        gr.Examples(
+            examples=[
+                ["Artificial Intelligence", "Medium"],
+                ["Photosynthesis", "Easy"],
+                ["Quantum Physics", "Hard"],
+                ["Renaissance Art", "Medium"],
+                ["Cryptocurrency", "Medium"]
+            ],
+            inputs=[topic_input, difficulty_dropdown]
+        )
+        
+        # Event handlers
+        generate_btn.click(
+            fn=generate_qa_pairs,
+            inputs=[topic_input, difficulty_dropdown],
+            outputs=qa_output
+        )
+        
+        # Allow Enter key to trigger generation
+        topic_input.submit(
+            fn=generate_qa_pairs,
+            inputs=[topic_input, difficulty_dropdown],
+            outputs=qa_output
+        )
+    
+    return interface
+
+demo = gr.Interface(fn=create_interface, inputs="text", outputs="text")
 demo.launch()