app.py

from transformers import pipeline
import gradio as gr

# Load the pre-trained sentiment analysis model
sentiment_analyzer = pipeline('sentiment-analysis')

# Define the function for sentiment analysis
def analyze_sentiment(text):
    result = sentiment_analyzer(text)
    # Only return the sentiment label
    return result[0]['label']

# Set up the Gradio interface (use text output for easier debugging)
interface = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text")

# Launch the Gradio interface
interface.launch()