Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+def analyze_sentiment(text):
+    sentiment_analyzer = pipeline(
+        "sentiment-analysis",
+        model="nlptown/bert-base-multilingual-uncased-sentiment"
+    )
+    result = sentiment_analyzer(text, return_all_scores=True)
+    score = int(result[0]['score'] * 5)  # Convert probability to 5-star scale
+    stars = "⭐" * score
+    
+    return stars
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Sentiment Analysis Demo")
+    with gr.Row():
+        input_text = gr.Textbox(
+            label="Enter your text here",
+            placeholder="Type or paste your text...",
+            lines=3,
+            examples=[
+                "I love this product! It's amazing!",
+                "This was the worst experience I've ever had.",
+                "The movie was okay, not great but not bad either.",
+                "Absolutely fantastic! I would recommend it to everyone."
+            ]
+        )
+    with gr.Row():
+        analyze_button = gr.Button("Analyze Sentiment", variant="primary")
+    with gr.Row():
+        output_text = gr.Textbox(
+            label="Sentiment (Stars)",
+            lines=1
+        )
+        
+    analyze_button.click(
+        fn=analyze_sentiment,
+        inputs=input_text,
+        outputs=output_text
+    )
+
+if __name__ == "__main__":
+    demo.launch()