Create restaurant_chatbot.py
Browse files- restaurant_chatbot.py +20 -0
restaurant_chatbot.py
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from transformers import pipeline
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import gradio as gr
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# Chatbot pipeline using Hugging Face's conversational model
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chatbot = pipeline('conversational')
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# Function to handle chatbot conversations
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def chat(input_text):
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response = chatbot(input_text)
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return response[0]['generated_text']
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# Gradio interface for the chatbot
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with gr.Blocks() as chatbot_app:
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user_input = gr.Textbox(label="Ask me anything (e.g., What are today's specials?)")
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chat_button = gr.Button("Send")
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chatbot_output = gr.Textbox(label="Chatbot Response")
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chat_button.click(fn=chat, inputs=user_input, outputs=chatbot_output)
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chatbot_app.launch()
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