Update app.py

app.py

@@ -1 +1,23 @@
-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()
+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()
+    if__name__ == "__main__":
+        iface.launch()
+