Update app.py

app.py

@@ -1,23 +1,21 @@
 import gradio as gr
-from textblob import TextBlob
+from transformers import pipeline
+
+# Load sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
 
 def analyze_sentiment(text):
-    blob = TextBlob(text)
-    polarity = blob.sentiment.polarity
-    if polarity > 0:
-        sentiment = "Positive 😀"
-    elif polarity < 0:
-        sentiment = "Negative 😞"
-    else:
-        sentiment = "Neutral 😐"
-    return f"Sentiment: {sentiment}\nPolarity Score: {polarity:.2f}"
+    result = sentiment_pipeline(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Sentiment: {label} (confidence: {score:.2f})"
 
 iface = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
     outputs="text",
     title="Sentiment Analysis",
-    description="Enter text to analyze its sentiment (positive, negative, or neutral)."
+    description="Enter text to analyze its sentiment (positive/negative)."
 )
 
 if __name__ == "__main__":