Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+sentiment_analyzer = pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def analyze_sentiment(text):
+    result = sentiment_analyzer(text)[0]
+    score = result['label']
+    return score
+
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=[
+        gr.Textbox(label="Enter your text here", placeholder="Type a sentence or paragraph...", lines=5),
+    ],
+    outputs=gr.Label(label="Predicted Sentiment (1-5 stars)"),
+    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."]
+    ],
+    title="Sentiment Analysis App",
+    description="This app analyzes the sentiment of the text you provide, showing a score from 1 to 5 stars, where 1 is negative and 5 is positive."
+)
+
+interface.launch()