Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load sentiment analysis model
+sentiment_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
+
+# Function for sentiment analysis
+def sentiment_analysis(text):
+    result = sentiment_pipeline(text)[0]
+    return f"Label: {result['label']}, Confidence: {round(result['score'], 4)}"
+
+# Gradio Interface
+demo = gr.Interface(fn=sentiment_analysis, 
+                    inputs=gr.Textbox(label="Enter Text"), 
+                    outputs=gr.Textbox(label="Sentiment Output"), 
+                    title="Multilingual Sentiment Analysis")
+
+# Launch app locally
+demo.launch()