Update app.py
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app.py
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from transformers import pipeline
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import torch
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classifier = pipeline("zero-shot-classification")
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from transformers import pipeline
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import torch
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import gradio as gr #this is in place of the streamlit of the HF video
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title = "Saras second try at ChatBot"
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description = "Based on a zero-shot-classification model (default facebook/bart-large-mnli)"
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classifier = pipeline("zero-shot-classification")
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#heres the prediction function tp predict the response and add it to history
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def predict(input, history=[]):
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# generate a response
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response = classifier(
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input,
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candidate_labels=["education", "politics", "business"],
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)
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return response
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gr.Interface(
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fn=predict,
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title=title,
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description=description,
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inputs=["text", "state"],
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outputs=["chatbot", "state"],
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theme="finlaymacklon/boxy_violet",
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).launch()
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