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app.py

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+import gradio as gr
+import random
+import time
+from typing import Generator, Tuple
+
+def get_response(message: str, history: list) -> Generator[str, None, None]:
+    """
+    Generate a response for the chatbot.
+    
+    Args:
+        message: The user's input message
+        history: The conversation history
+    
+    Yields:
+        Stream of response text for a typing effect
+    """
+    # Simple mock responses - in a real app, this would call an LLM API
+    responses = [
+        "That's an interesting question! Let me think about that...",
+        "I understand what you're saying. Here's my perspective:",
+        "Great point! I'd like to add that...",
+        "Hmm, that's something worth considering. My thoughts are:",
+        "Thank you for sharing! From my understanding:",
+    ]
+    
+    # Simple contextual responses
+    if "hello" in message.lower() or "hi" in message.lower():
+        response = "Hello! How can I help you today?"
+    elif "how are you" in message.lower():
+        response = "I'm doing great, thanks for asking! I'm here to assist you with any questions or conversations you'd like to have."
+    elif "bye" in message.lower() or "goodbye" in message.lower():
+        response = "Goodbye! It was nice chatting with you. Feel free to come back anytime!"
+    elif "help" in message.lower():
+        response = "I'm here to help! You can ask me questions, have conversations, or just chat about anything on your mind. What would you like to discuss?"
+    else:
+        # Generate a semi-random contextual response
+        base_response = random.choice(responses)
+        additional = [
+            " based on what you've shared, I believe the key is to consider multiple perspectives and find a balanced approach.",
+            " it's important to think about both the short-term and long-term implications.",
+            " there are often many valid viewpoints to consider in such situations.",
+            " the answer might depend on various factors and context.",
+            " this is a complex topic with many interesting dimensions to explore.",
+        ]
+        response = base_response + random.choice(additional)
+    
+    # Simulate typing effect
+    partial_response = ""
+    for word in response.split():
+        partial_response += word + " "
+        yield partial_response
+        time.sleep(0.05)
+
+def format_examples() -> list:
+    """
+    Create example prompts for the chatbot.
+    
+    Returns:
+        List of example messages
+    """
+    return [
+        "Hello! Tell me about yourself.",
+        "What's your opinion on artificial intelligence?",
+        "Can you help me understand machine learning?",
+        "How do you think technology will change the future?",
+        "Tell me an interesting fact!",
+    ]
+
+def create_chat_interface() -> gr.Blocks:
+    """
+    Create and configure the Gradio chatbot interface.
+    
+    Returns:
+        Configured Gradio Blocks interface
+    """
+    with gr.Blocks(
+        title="AI Chatbot",
+        theme=gr.themes.Soft(
+            primary_hue="blue",
+            secondary_hue="gray",
+            neutral_hue="slate"
+        ),
+        css="""
+        .chatbot-container {
+            height: 600px !important;
+        }
+        .message-wrap {
+            padding: 10px !important;
+        }
+        """
+    ) as interface:
+        
+        # Header
+        with gr.Row():
+            gr.HTML("""
+            <div style="text-align: center; margin-bottom: 20px;">
+                <h1>🤖 AI Chatbot</h1>
+                <p style="color: #666;">Your intelligent conversational assistant</p>
+                <p style="font-size: 0.9em; color: #999;">
+                    Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="color: #1f77b4; text-decoration: none;">anycoder</a>
+                </p>
+            </div>
+            """)
+        
+        # Chat interface
+        with gr.Row():
+            with gr.Column(scale=4):
+                chatbot = gr.ChatInterface(
+                    fn=get_response,
+                    title="",
+                    examples=format_examples(),
+                    cache_examples=False,
+                    chatbot=gr.Chatbot(
+                        height=600,
+                        show_copy_button=True,
+                        avatar_images=("👤", "🤖"),
+                        bubble_full_width=False,
+                        type="messages"
+                    ),
+                    textbox=gr.Textbox(
+                        placeholder="Type your message here...",
+                        container=False,
+                        scale=7,
+                        autofocus=True
+                    ),
+                    submit_btn="Send",
+                    stop_btn="Stop",
+                    retry_btn="🔄 Retry",
+                    undo_btn="↩️ Undo",
+                    clear_btn="🗑️ Clear"
+                )
+            
+            with gr.Column(scale=1):
+                # Settings panel
+                gr.Markdown("### ⚙️ Settings")
+                
+                with gr.Accordion("Chat Options", open=True):
+                    temperature = gr.Slider(
+                        minimum=0.1,
+                        maximum=2.0,
+                        value=0.7,
+                        step=0.1,
+                        label="Response Creativity",
+                        info="Higher values make responses more creative"
+                    )
+                    
+                    max_length = gr.Slider(
+                        minimum=50,
+                        maximum=500,
+                        value=200,
+                        step=50,
+                        label="Max Response Length",
+                        info="Maximum characters in response"
+                    )
+                
+                with gr.Accordion("Conversation", open=False):
+                    save_history = gr.Checkbox(
+                        label="Save Conversation",
+                        value=True,
+                        info="Remember conversation context"
+                    )
+                    
+                    show_timestamp = gr.Checkbox(
+                        label="Show Timestamps",
+                        value=False,
+                        info="Display message timestamps"
+                    )
+                
+                # Quick actions
+                gr.Markdown("### 🎯 Quick Actions")
+                
+                with gr.Row():
+                    copy_last_btn = gr.Button("📋 Copy Last", size="sm")
+                    clear_chat_btn = gr.Button("🗑️ Clear All", size="sm", variant="secondary")
+                
+                # Info panel
+                with gr.Accordion("ℹ️ About", open=False):
+                    gr.Markdown("""
+                    **Model:** Mock AI Assistant
+                    
+                    **Features:**
+                    - Real-time responses
+                    - Conversation memory
+                    - Typing animation
+                    - Copy messages
+                    - Retry responses
+                    
+                    **Tips:**
+                    - Use clear questions
+                    - Provide context for better answers
+                    - Try the example prompts below
+                    """)
+        
+        # Footer
+        gr.HTML("""
+        <div style="text-align: center; margin-top: 20px; padding-top: 20px; border-top: 1px solid #eee;">
+            <p style="color: #999; font-size: 0.9em;">
+                💬 Have a great conversation! | 
+                🔒 Your privacy matters - conversations are not stored
+            </p>
+        </div>
+        """)
+    
+    return interface
+
+if __name__ == "__main__":
+    # Create and launch the interface
+    app = create_chat_interface()
+    app.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,
+        show_error=True,
+        quiet=False
+    )

requirements.txt

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+gradio
+requests
+Pillow
+numpy
+pandas
+matplotlib
+plotly
+fastapi
+uvicorn
+pydantic