app.py

from transformers import pipeline 
import torch
import gradio as gr #this is in place of the streamlit of the HF video

title = "Saras second try at ChatBot"
description = "Based on a zero-shot-classification model (default facebook/bart-large-mnli)"


classifier = pipeline("zero-shot-classification")

#heres the prediction function tp predict the response and add it to history
def predict(input, history=[]):
    # generate a response
    response = classifier(
        input,
        candidate_labels=["education", "politics", "business"],
    )
    return response


gr.Interface(
    fn=predict,
    title=title,
    description=description,
    inputs=["text", "state"],
    outputs=["chatbot", "state"],
    theme="finlaymacklon/boxy_violet",
).launch()