Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load the model from Hugging Face
+classifier = pipeline("sentiment-analysis")
+
+# Define the function to make predictions
+def predict(text):
+    result = classifier(text)[0]
+    return f"{result['label']} ({result['score']:.2f})"
+
+# Create the Gradio interface
+gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs=gr.Label(label="Sentiment"),
+    title="Sentiment Analysis with DistilBERT",
+    description="Classify text as positive or negative.",
+).launch()