app.py

app.py

@@ -1,22 +1,19 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load pre-trained sentiment analysis model from Hugging Face
-sentiment_pipeline = pipeline("tabularisai/multilingual-sentiment-analysis")
+# Load multilingual sentiment model
+sentiment_pipeline = pipeline("sentiment-analysis", model="tabularisai/multilingual-sentiment-analysis")
 
 def analyze_sentiment(text):
     result = sentiment_pipeline(text)[0]
-    label = result['label']
-    score = round(result['score'], 3)
-    return f"Sentiment: {label} | Confidence: {score}"
+    return f"{result['label']} ({round(result['score'], 2)})"
 
-# Gradio UI
 iface = gr.Interface(
     fn=analyze_sentiment,
     inputs=gr.Textbox(label="Enter Text"),
-    outputs=gr.Textbox(label="Sentiment Result"),
-    title="Sentiment Analysis with Hugging Face 🤗",
-    description="This app performs sentiment analysis on user input text using Hugging Face Transformers."
+    outputs="text",
+    title="Multilingual Sentiment Analysis 🌐",
+    description="Analyze text sentiment in multiple languages using Hugging Face."
 )
 
 if __name__ == "__main__":