Create app.py

app.py

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+import gradio as gr from transformers import pipeline # Load the sentiment analysis pipeline sentiment_pipeline = pipeline("sentiment-analysis") def analyze_sentiment(text): result = sentiment_pipeline(text)[0] label = result["label"] score = result["score"] return f"Sentiment: {label}\nConfidence: {score:.2f}" # Create the Gradio interface iface = gr.Interface( fn=analyze_sentiment, inputs=gr.Textbox(placeholder="Enter text to analyze..."), outputs=gr.Textbox(), title="Sentiment Analysis App", description="Enter a sentence to determine its sentiment (positive or negative).", examples=[ ["I love this product! It's amazing!"], ["I am very disappointed with the service."] ] ) # Launch the app if __name__ == "__main__": iface.launch()