Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load the sentiment analysis model
+sentiment_analysis = pipeline("sentiment-analysis")
+
+# Define the prediction function
+def predict_sentiment(text):
+    result = sentiment_analysis(text)[0]
+    label = result['label']
+    confidence = round(result['score'], 4)
+    return f"Sentiment: {label}, Confidence: {confidence}"
+
+# Create a Gradio interface
+interface = gr.Interface(fn=predict_sentiment,
+                         inputs=gr.inputs.Textbox(lines=2, placeholder="Type your text here..."),
+                         outputs="text",
+                         title="Text Sentiment Analysis",
+                         description="This tool predicts the sentiment of the entered text. Sentiment can be positive, negative, or neutral.")
+
+# Launch the application
+interface.launch()