app.py

import gradio as gr
from transformers import pipeline

# Load model
pipe = pipeline(
    "text-classification",
    model="distilbert/distilbert-base-uncased-finetuned-sst-2-english"
)

# Inference function
def classify_text(text):
    if not text.strip():
        return "Please enter some text."

    result = pipe(text)[0]
    
    label = result["label"]
    score = round(result["score"], 4)

    return f"Sentiment: {label}\nConfidence: {score}"

# Gradio UI
app = gr.Interface(
    fn=classify_text,
    inputs=gr.Textbox(
        lines=4,
        placeholder="Type a sentence to analyze sentiment..."
    ),
    outputs=gr.Textbox(label="Result"),
    title="Sentiment Analysis App",
    description="Powered by DistilBERT (SST-2)\nClassifies text as POSITIVE or NEGATIVE."
)

# Run app
app.launch()