Update app.py

app.py

@@ -1,24 +1,61 @@
 import gradio as gr
-from camel_tools.sentiment import SentimentAnalyzer
-import torch # Add torch as it's a key dependency
+from transformers import pipeline
+import torch
 
-# This will run on the Hugging Face server
-sa = SentimentAnalyzer.from_pretrained()
+# Load a pre-trained Arabic sentiment analysis model
+try:
+    # This model is specifically trained for Arabic sentiment analysis
+    sentiment_pipeline = pipeline(
+        "sentiment-analysis",
+        model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment",
+        return_all_scores=True
+    )
+    MODEL_LOADED = True
+except Exception as e:
+    MODEL_LOADED = False
+    error_msg = str(e)
 
 def analyze_sentiment(text):
+    if not MODEL_LOADED:
+        return f"Model loading failed: {error_msg}"
+    
     if not text or not text.strip():
         return "No text provided."
-    # sa.predict expects a list of strings
-    prediction = sa.predict([text])
-    # It returns a list with one result, e.g., ['positive']
-    return prediction[0]
+    
+    try:
+        # Get sentiment prediction
+        results = sentiment_pipeline(text)
+        
+        # Extract the result with highest confidence
+        best_result = max(results[0], key=lambda x: x['score'])
+        label = best_result['label']
+        confidence = best_result['score']
+        
+        # Map labels to Arabic
+        label_map = {
+            'POSITIVE': 'إيجابي',
+            'NEGATIVE': 'سلبي', 
+            'NEUTRAL': 'محايد'
+        }
+        
+        arabic_label = label_map.get(label, label)
+        
+        return f"المشاعر: {arabic_label} (الثقة: {confidence:.2f})"
+        
+    except Exception as e:
+        return f"Error in analysis: {str(e)}"
 
 iface = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=5, label="Enter Arabic Text Here"),
-    outputs=gr.Textbox(label="Sentiment Result"),
-    title="🧠 Kayan's Arabic Sentiment Brain 🧠",
-    description="This is the cloud-based sentiment analysis engine for Project Kayan. Coded by Anwar & Manus AI."
+    inputs=gr.Textbox(lines=5, label="أدخل النص العربي هنا", placeholder="اكتب أي نص عربي لتحليل مشاعره..."),
+    outputs=gr.Textbox(label="نتيجة التحليل"),
+    title="🧠 العقل العربي لمشروع كيان 🧠",
+    description="محرك تحليل المشاعر العربية السحابي لمشروع كيان. برمجة: أنور ومانوس AI",
+    examples=[
+        ["أنا سعيد جداً اليوم"],
+        ["هذا اليوم سيء للغاية"],
+        ["الطقس جميل اليوم"]
+    ]
 )
 
 iface.launch()