app.py

from transformers import pipeline
import gradio as gr

# Initialize zero-shot-classification pipeline
zero_shot_classifier = pipeline("zero-shot-classification")

# Define classification function
def classify(text, labels):
    classifier_labels = labels.split(",")  # Split the comma-separated labels into a list
    response = zero_shot_classifier(text, classifier_labels)  # Perform the classification
    return response

# Define Gradio interface elements
txt = gr.Textbox(lines=1, label="English", placeholder="Text to be classified")
labels = gr.Textbox(lines=1, label="Labels", placeholder="Comma-separated labels")
out = gr.Textbox(lines=1, label="Classification")

# Create the interface and launch it
gr.Interface(classify, inputs=[txt, labels], outputs=out).launch()