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app.py
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import gradio as gr
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import random
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# Simple chatbot responses
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responses = {
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"hello": ["Hi there!", "Hello!", "Hey! How can I help you?"],
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"how are you": ["I'm doing well, thank you!", "Great! Thanks for asking.", "I'm a chatbot, so I'm always ready to help!"],
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"bye": ["Goodbye!", "See you later!", "Bye! Have a great day!"],
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"default": ["I'm not sure I understand.", "Can you tell me more?", "That's interesting!", "Let's talk about something else."]
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}
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def chatbot(message, history):
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"""
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Simple chatbot function that responds to user messages.
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Args:
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message (str): The user's input message
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history (list): List of previous conversations
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Returns:
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str: The chatbot's response
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"""
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message = message.lower()
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# Check for specific keywords and respond accordingly
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if "hello" in message or "hi" in message:
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response = random.choice(responses["hello"])
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elif "how are you" in message:
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response = random.choice(responses["how are you"])
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elif "bye" in message:
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response = random.choice(responses["bye"])
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else:
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response = random.choice(responses["default"])
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return response
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# Create the chatbot interface
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with gr.Blocks(title="Simple Chatbot") as demo:
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gr.Markdown("# 🤖 Simple Chatbot")
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gr.Markdown("Talk to this basic chatbot. Type 'hello', 'how are you', or 'bye' for specific responses!")
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# Chatbot component
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chatbot_interface = gr.Chatbot(
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label="Chatbot Conversation",
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bubble_full_width=False
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)
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# User input
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user_input = gr.Textbox(
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label="Your Message",
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placeholder="Type your message here...",
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lines=2
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)
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# Submit button
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submit_btn = gr.Button("Send Message")
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# Clear button
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clear_btn = gr.Button("Clear Conversation")
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# Connect components
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user_input.submit(
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fn=chatbot,
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inputs=[user_input, chatbot_interface],
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outputs=[chatbot_interface],
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queue=False
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).then(
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fn=lambda: "",
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inputs=None,
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outputs=user_input,
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queue=False
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)
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submit_btn.click(
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fn=chatbot,
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inputs=[user_input, chatbot_interface],
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outputs=[chatbot_interface],
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queue=False
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).then(
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fn=lambda: "",
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inputs=None,
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outputs=user_input,
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queue=False
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)
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clear_btn.click(
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fn=lambda: None,
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inputs=None,
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outputs=chatbot_interface,
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queue=False
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)
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# Launch the app
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if __name__ == "__main__":
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demo.launch()
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