Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained pipeline for sentiment analysis
+sentiment_analysis = pipeline('text-classification', model='distilbert-base-uncased-finetuned-sst-2-english')
+
+# Define the function that will be called by Gradio
+def analyze_sentiment(input_text):
+    output = sentiment_analysis(input_text)
+    sentiment = output[0]['label']
+    score = output[0]['score']
+    return f"Sentiment: {sentiment} (Score: {score:.2f})"
+
+# Create the Gradio interface
+gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text", title="Sentiment Analysis AI").launch()