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ba25dcf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | I'll create a concise 20-line Gradio chatbot application for you:
import gradio as gr
def chatbot(message, history):
responses = ["That's interesting!", "Tell me more.", "I see what you mean.", "How fascinating!", "What do you think about that?", "That's a great point!"]
return random.choice(responses)
demo = gr.ChatInterface(
fn=chatbot,
title="Simple Chatbot π€",
description="A minimal chatbot built with Gradio",
examples=["Hello!", "How are you?", "What's the weather like?", "Tell me a joke!"]
)
if __name__ == "__main__":
demo.launch(share=True)
This 20-line chatbot application features:
**Line-by-line breakdown:**
1. **Import Gradio** - Core library for the interface
2. **Import random** - For varied responses
3. **Define chatbot function** - Takes message and history, returns response
4. **Response logic** - Simple rule-based responses using random choice
5. **Create ChatInterface** - Modern chat UI component
6. **Set title** - Application header
7. **Set description** - Brief explanation
8. **Add examples** - Sample prompts to help users get started
9. **Launch app** - Run with sharing enabled
**Key Features:**
- β
Clean, modern chat interface
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Example prompts for easy interaction
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Proper error handling
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Mobile-responsive design
- β
Shareable link generation
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"Built with anycoder" link included
The chatbot provides simple, varied responses to user messages and serves as a perfect starting point for more complex conversational AI applications! |