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| import gradio as gr | |
| import random | |
| import time | |
| from typing import List, Tuple | |
| # Mock AI responses for demonstration | |
| def get_ai_response(user_message: str, chat_history: List[Tuple[str, str]]) -> Tuple[str, List[Tuple[str, str]]]: | |
| """ | |
| Simulates an AI chatbot response. | |
| In a real application, you would connect this to an actual AI model. | |
| """ | |
| # Simple pattern matching for demonstration | |
| user_message_lower = user_message.lower() | |
| if "hello" in user_message_lower or "hi" in user_message_lower: | |
| responses = [ | |
| "Hello there! How can I assist you today?", | |
| "Hi! Nice to meet you!", | |
| "Greetings! What can I help you with today?" | |
| ] | |
| elif "how are you" in user_message_lower: | |
| responses = [ | |
| "I'm doing great! Just here ready to chat with you.", | |
| "I'm functioning perfectly! How about you?", | |
| "All systems operational! What's on your mind?" | |
| ] | |
| elif "weather" in user_message_lower: | |
| responses = [ | |
| "I don't have real-time weather data, but I hope it's pleasant wherever you are!", | |
| "I'm an AI, so I don't experience weather, but I can discuss it with you!" | |
| ] | |
| elif "help" in user_message_lower: | |
| responses = [ | |
| "I'm here to help! You can ask me about various topics, or we can just have a friendly conversation!" | |
| ] | |
| elif "bye" in user_message_lower or "goodbye" in user_message_lower: | |
| responses = [ | |
| "Goodbye! It was nice chatting with you!", | |
| "Farewell! Hope to talk with you again soon!", | |
| "See you later! Don't hesitate to come back if you have more questions!" | |
| ] | |
| else: | |
| responses = [ | |
| "That's interesting! Tell me more about that.", | |
| "I appreciate you sharing that with me.", | |
| "That's fascinating! I'd love to hear more." | |
| ] | |
| # Add some randomness and thinking simulation | |
| thinking_time = random.uniform(0.5, 2.0) | |
| time.sleep(thinking_time) | |
| return random.choice(responses), chat_history + [(user_message, random.choice(responses))] | |
| def stream_ai_response(user_message: str, chat_history: List[Tuple[str, str]]): | |
| """ | |
| Streams AI responses character by character for a more natural feel. | |
| """ | |
| full_response, chat_history = get_ai_response(user_message, chat_history) | |
| for i in range(len(full_response)): | |
| partial_response = full_response[:i+1] | |
| yield partial_response, chat_history + [(user_message, partial_response)] | |
| def handle_user_input(user_message: str, chat_history: List[Tuple[str, str]]): | |
| """Process user input and update chat history.""" | |
| if not user_message.strip(): | |
| return "", chat_history | |
| # Get AI response | |
| ai_response, chat_history = get_ai_response(user_message, chat_history) | |
| return "", chat_history | |
| def clear_chat(): | |
| """Clear the chat history.""" | |
| return [], [] | |
| def like_message(): | |
| """Handle message liking.""" | |
| gr.Info("Thanks for the feedback!") | |
| def retry_message(): | |
| """Handle message retry.""" | |
| gr.Warning("Retrying the last response...") | |
| # Create custom theme for the chatbot | |
| custom_theme = gr.themes.Soft( | |
| primary_hue="indigo", | |
| secondary_hue="blue", | |
| neutral_hue="slate", | |
| font=gr.themes.GoogleFont("Inter"), | |
| text_size="lg", | |
| spacing_size="lg", | |
| radius_size="md" | |
| ).set( | |
| button_primary_background_fill="*primary_600", | |
| button_primary_background_fill_hover="*primary_700", | |
| block_title_text_weight="600", | |
| ) | |
| with gr.Blocks() as demo: | |
| # Header with title and anycoder link | |
| with gr.Row(): | |
| gr.Markdown("# 🤖 AI Chatbot") | |
| gr.HTML( | |
| '<div style="text-align: right; font-size: 0.8em;">' | |
| '<a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="color: #6B7280; text-decoration: none;">' | |
| 'Built with anycoder' | |
| '</a>' | |
| '</div>' | |
| ) | |
| # Description | |
| gr.Markdown( | |
| "Welcome to your AI assistant! I'm here to help with questions, " | |
| "have conversations, or just chat about whatever's on your mind." | |
| ) | |
| # Chat interface | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| chatbot = gr.Chatbot( | |
| label="Chat", | |
| height=500, | |
| show_copy_button=True, | |
| show_share_button=True, | |
| placeholder="Type your message here...", | |
| show_clear_button=True, | |
| ) | |
| with gr.Column(scale=2): | |
| # Input controls | |
| with gr.Group(): | |
| user_input = gr.Textbox( | |
| label="Your Message", | |
| placeholder="Type your message here and press Enter...", | |
| lines=2, | |
| max_lines=5, | |
| ) | |
| with gr.Row(): | |
| send_btn = gr.Button("Send", variant="primary") | |
| clear_btn = gr.Button("Clear Chat", variant="secondary") | |
| # Additional controls | |
| with gr.Accordion("Advanced Options", open=False): | |
| with gr.Row(): | |
| like_btn = gr.Button("👍 Like", size="sm") | |
| retry_btn = gr.Button("🔄 Retry", size="sm") | |
| # Status indicators | |
| with gr.Row(): | |
| gr.Markdown("**Status:** Ready") | |
| # Event handling | |
| send_btn.click( | |
| fn=handle_user_input, | |
| inputs=[user_input, chatbot], | |
| outputs=[user_input, chatbot], | |
| api_visibility="public" | |
| ) | |
| user_input.submit( | |
| fn=handle_user_input, | |
| inputs=[user_input, chatbot], | |
| outputs=[user_input, chatbot], | |
| api_visibility="public" | |
| ) | |
| clear_btn.click( | |
| fn=clear_chat, | |
| inputs=None, | |
| outputs=[chatbot, user_input], | |
| api_visibility="public" | |
| ) | |
| like_btn.click( | |
| fn=like_message, | |
| inputs=None, | |
| outputs=None, | |
| api_visibility="private" | |
| ) | |
| retry_btn.click( | |
| fn=retry_message, | |
| inputs=None, | |
| outputs=None, | |
| api_visibility="private" | |
| ) | |
| # Streaming example | |
| with gr.Group(visible=False) as streaming_section: | |
| gr.Markdown("### Streaming Response Demo") | |
| streaming_input = gr.Textbox(label="Streaming test message") | |
| streaming_output = gr.Textbox(label="Streaming response", interactive=False) | |
| # Examples | |
| gr.Examples( | |
| examples=[ | |
| "Hello, how are you today?", | |
| "What's the weather like?", | |
| "Can you help me with something?", | |
| "Tell me a fun fact!", | |
| "What can you do as an AI assistant?" | |
| ], | |
| inputs=user_input | |
| ) | |
| # Launch the application with modern Gradio 6 syntax | |
| demo.launch( | |
| theme=custom_theme, | |
| footer_links=[ | |
| {"label": "API Documentation", "url": "/docs"}, | |
| {"label": "About", "url": "/about"} | |
| ], | |
| share=False, # Set to True for public sharing | |
| show_error=True, | |
| ) |