Update app.py

app.py

@@ -46,8 +46,6 @@ def translate_answer_medical(answer_en):
     else:
         return translate_en_to_ar(answer_en)
 
-# الدالة الرئيسية
-
 # ✅ Arabic font helper
 def get_font(size=22):
     try:
@@ -92,30 +90,30 @@ def generate_report_image(image, question_ar, question_en, answer_ar, answer_en)
     background.save(file_name)
     return file_name
 
-    
+# ✅ Main VQA function
 def vqa_multilingual(image, question):
-if not image or not question.strip():
-    return "يرجى رفع صورة وكتابة سؤال.", "", "", "", None
-
-is_arabic = any('\u0600' <= c <= '\u06FF' for c in question)
-question_ar = question.strip() if is_arabic else translate_en_to_ar(question)
-question_en = translate_ar_to_en(question) if is_arabic else question.strip()
-
-inputs = processor(image, question_en, return_tensors="pt")
-with torch.no_grad():
-    output = blip_model.generate(**inputs)
-answer_en = processor.decode(output[0], skip_special_tokens=True).strip()
-answer_ar = translate_answer_medical(answer_en)
-
-report_image_path = generate_report_image(image, question_ar, question_en, answer_ar, answer_en)
-
-return (
-    question_ar,
-    question_en,
-    answer_ar,
-    answer_en,
-    report_image_path
-)
+    if not image or not question.strip():
+        return "يرجى رفع صورة وكتابة سؤال.", "", "", "", None
+
+    is_arabic = any('\u0600' <= c <= '\u06FF' for c in question)
+    question_ar = question.strip() if is_arabic else translate_en_to_ar(question)
+    question_en = translate_ar_to_en(question) if is_arabic else question.strip()
+
+    inputs = processor(image, question_en, return_tensors="pt")
+    with torch.no_grad():
+        output = blip_model.generate(**inputs)
+    answer_en = processor.decode(output[0], skip_special_tokens=True).strip()
+    answer_ar = translate_answer_medical(answer_en)
+
+    report_image_path = generate_report_image(image, question_ar, question_en, answer_ar, answer_en)
+
+    return (
+        question_ar,
+        question_en,
+        answer_ar,
+        answer_en,
+        report_image_path
+    )
 
 # واجهة Gradio
 gr.Interface(