app.py

import gradio as gr
from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis",
    model="distilbert-base-uncased-finetuned-sst-2-english"
)

def analyze(text):
    if not text.strip():
        return "Please enter some text."
    result = classifier(text)[0]
    label = result["label"]
    score = round(result["score"] * 100, 1)
    return f"**{label}** ({score}% confidence)"

demo = gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(
        label="Enter text",
        placeholder="Type a sentence to analyze...",
        lines=3
    ),
    outputs=gr.Markdown(label="Result"),
    title="Mood Meter",
    description="Analyze the sentiment of any text. "
                "Uses DistilBERT (67M parameters) running on free CPU."
)
demo.launch()