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()