Update app.py

app.py

@@ -9,8 +9,8 @@ model2 = pipeline("sentiment-analysis", model="mr8488/distilroberta-finetuned-fi
 def analyze_sentiment(input_text):
     result1 = model1(input_text)[0]
     result2 = model2(input_text)[0]
-    return {"Model 1": f"{result1['label']} ({result1['score']:.2f})",
-            "Model 2": f"{result2['label']} ({result2['score']:.2f})"}
+    return {"mrm8488": f"{result1['label']} ({result1['score']:.2f})",
+            "mr8488": f"{result2['label']} ({result2['score']:.2f})"}
 
 # Create the Gradio interface
 iface = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text", title="Sentiment Analysis", description="Enter a sentence to analyze its sentiment using two different models.")