app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment-analysis pipeline
sentiment_analyzer = pipeline("sentiment-analysis")

# Define the function to analyze text sentiment
def analyze_sentiment(text):
    result = sentiment_analyzer(text)
    sentiment = result[0]['label']
    score = result[0]['score']
    return f"Sentiment: {sentiment} (Confidence: {score:.2f})"

# Create the Gradio interface
app = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(label="Enter text to analyze"),
    outputs=gr.Textbox(label="Sentiment Analysis Result"),
    title="Text Sentiment Analyzer",
    description="Analyze the sentiment of text input using a pre-trained NLP model."
)

if __name__ == "__main__":
    app.launch()