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."]
+]
+)
+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()