Update app.py

app.py

@@ -1,52 +1,52 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Aug 25 14:10:33 2025
-
-@author: shuangshuang
-"""
-
-from transformers import pipeline
-import gradio as gr
-
-# Load model
-classifier = pipeline(
-    "sentiment-analysis",
-    model="nlptown/bert-base-multilingual-uncased-sentiment",
-    device=-1,
-)
-
-# Map labels
-label_map = {
-    "1 star": "very bad",
-    "2 stars": "bad",
-    "3 stars": "neutral",
-    "4 stars": "good",
-    "5 stars": "very good",
-}
-
-
-# Prediction function
-def predict(text):
-    text = text.strip()
-    if not text:
-        return "Please enter some text."
-    result = classifier(text)[0]
-    label = result["label"]
-    score = result["score"]
-    mapped = label_map[label]
-    return f"Prediction: {mapped}\nConfidence: {score:.2f}"
-
-
-# Gradio interface
-interface = gr.Interface(
-    fn=predict,
-    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence..."),
-    outputs="text",
-    title="Sentiment Analysis",
-    description="Enter a sentence to analyze its sentiment.",
-    examples=["I love this product!", "This is terrible."],
-)
-
-# Launch (Hugging Face Spaces doesn't need special params)
-if __name__ == "__main__":
-    interface.launch()
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Aug 25 14:10:33 2025
+
+@author: shuangshuang
+"""
+
+from transformers import pipeline
+import gradio as gr
+
+# Load model
+classifier = pipeline(
+    "sentiment-analysis",
+    model="nlptown/bert-base-multilingual-uncased-sentiment",
+    device=-1,
+)
+
+# Map labels
+label_map = {
+    "1 star": "very bad",
+    "2 stars": "bad",
+    "3 stars": "neutral",
+    "4 stars": "good",
+    "5 stars": "very good",
+}
+
+
+# Prediction function
+def predict(text):
+    text = text.strip()
+    if not text:
+        return "Please enter some text."
+    result = classifier(text)[0]
+    label = result["label"]
+    score = result["score"]
+    mapped = label_map[label]
+    return f"Prediction: {mapped}\nConfidence: {score:.2f}"
+
+
+# Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence..."),
+    outputs="text",
+    title="Sentiment Analysis",
+    description="Enter a sentence to analyze its sentiment.",
+    examples=["I love this product!", "This is terrible."],
+)
+
+# Launch (Hugging Face Spaces doesn't need special params)
+if __name__ == "__main__":
+    interface.launch(ssr_mode=False)