app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment analysis pipeline
sentiment_pipeline = pipeline(model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")

# Define the function for inference
def analyze_sentiment(text):
    result = sentiment_pipeline(text)
    sentiment = result[0]["label"]
    confidence = result[0]["score"]
    return f"Sentiment: {sentiment}\nConfidence: {confidence:.2f}"

# Create the Gradio interface
iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence..."),
    outputs="text",
    title="Sentiment Analysis with HuggingFace",
    description="Enter a sentence to analyze its sentiment using a fine-tuned DistilBERT model."
)

# Launch the app
if __name__ == "__main__":
    iface.launch()