app.py

app.py

@@ -1,18 +1,21 @@
+from transformers import pipeline
 import gradio as gr
 
-# Define the function for sentiment analysis
+# Load the sentiment-analysis pipeline
+sentiment_pipeline = pipeline("tabularisai/multilingual-sentiment-analysis")
+
 def analyze_sentiment(text):
     result = sentiment_pipeline(text)
-    return result[0]["label"], result[0]["score"]
+    return result[0]
 
-# Create Gradio Interface
+# Create a Gradio interface
 iface = gr.Interface(
-    fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
-    outputs=[gr.Text(label="Sentiment"), gr.Text(label="Confidence Score")],
+    fn=analyze_sentiment, 
+    inputs="text", 
+    outputs="text", 
     title="Sentiment Analysis",
-    description="Enter a sentence, and the model will predict its sentiment."
+    description="Enter some text to analyze its sentiment."
 )
 
-# Launch the Gradio app
-iface.launch()
+# Launch the interface
+iface.launch()