app.py

import gradio as gr
from transformers import pipeline

# Load text classification model from Hugging Face
model = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")

def classify_text(text):
    # Classify text using the loaded model
    result = model(text)[0]
    label = result['label']
    score = result['score']
    return f"Label: {label}, Score: {score}"

# Create Gradio interface
iface = gr.Interface(
    fn=classify_text,
    inputs=gr.inputs.Textbox(label="Enter text to classify"),
    outputs="text",
    title="Text Classification",
    description="Testing classificaton model"
)

# Launch the interface
iface.launch()