Update app.py

Updated the Model and the analysis output

app.py

@@ -2,12 +2,18 @@ import gradio as gr
 from transformers import pipeline
 
 # Load pre-trained model and tokenizer from Hugging Face
-model_name = "aubmindlab/bert-base-arabertv02-twitter"
-sentiment_analysis = pipeline("sentiment-analysis", model=model_name)
+#model_name = "aubmindlab/bert-base-arabertv02-twitter"
+model_name = "CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment"
+sentiment_analysis = pipeline("sentiment-analysis", model=model_name, tokenizer="CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment")
 
 def analyze_sentiment(text):
-    result = sentiment_analysis(text)
-    return result
+    #result = sentiment_analysis(text)
+    #return result
+    result = sentiment_analyzer(text)[0]
+    return jsonify({
+        "sentiment": result['label'],
+        "confidence": result['score']
+    })
 
 # Define Gradio interface
 iface = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text", title="Arabic Sentiment Analysis")