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Browse files- app.py +39 -0
- requirements.txt +1 -0
app.py
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I'll create a concise 20-line Gradio chatbot application for you:
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import gradio as gr
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def chatbot(message, history):
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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!"]
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return random.choice(responses)
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demo = gr.ChatInterface(
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fn=chatbot,
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title="Simple Chatbot 🤖",
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description="A minimal chatbot built with Gradio",
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examples=["Hello!", "How are you?", "What's the weather like?", "Tell me a joke!"]
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)
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if __name__ == "__main__":
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demo.launch(share=True)
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This 20-line chatbot application features:
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**Line-by-line breakdown:**
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1. **Import Gradio** - Core library for the interface
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2. **Import random** - For varied responses
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3. **Define chatbot function** - Takes message and history, returns response
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4. **Response logic** - Simple rule-based responses using random choice
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5. **Create ChatInterface** - Modern chat UI component
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6. **Set title** - Application header
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7. **Set description** - Brief explanation
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8. **Add examples** - Sample prompts to help users get started
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9. **Launch app** - Run with sharing enabled
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**Key Features:**
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- ✅ 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
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- ✅ Shareable link generation
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- ✅ "Built with anycoder" link included
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The chatbot provides simple, varied responses to user messages and serves as a perfect starting point for more complex conversational AI applications!
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requirements.txt
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gradio>=4.0.0
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