Merge branch 'اسم-الفرع-الجديد' into main

app.py

@@ -203,14 +203,20 @@ def train():
         epochs = 1
         batch_size = 1
 
-        # 1️⃣ JSON request
+        # 1️⃣ JSON مباشر
         if request.is_json:
             body = request.get_json()
-            data = body.get("data", [])
-            epochs = int(body.get("epochs", 1))
-            batch_size = int(body.get("batch_size", 1))
+            if isinstance(body, list):
+                data = body
+            elif isinstance(body, dict) and "data" in body:
+                data = body["data"]
+            else:
+                return jsonify({"error": "JSON format not recognized"}), 400
+
+            epochs = int(body.get("epochs", 1)) if isinstance(body, dict) else 1
+            batch_size = int(body.get("batch_size", 1)) if isinstance(body, dict) else 1
 
-        # 2️⃣ form-data file upload
+        # 2️⃣ form-data ملف
         else:
             file = request.files.get("file")
             if file:
@@ -220,7 +226,7 @@ def train():
             else:
                 return jsonify({"error": "No file uploaded or JSON provided"}), 400
 
-        # دمج وإزالة التكرارات بناءً على محتوى الرسائل فقط
+        # دمج وإزالة التكرارات حسب محتوى الرسائل
         old_data = []
         if os.path.exists(DATASET_FILE):
             with open(DATASET_FILE, "r", encoding="utf-8") as f:
@@ -231,25 +237,22 @@ def train():
 
         combined = old_data + data
         unique_data, seen_texts = [], set()
-
         for item in combined:
-            # نحول محتوى الرسائل فقط لسلسلة نصية لتحديد التكرار
             if "messages" in item:
                 text_key = "\n".join([f"{m['role'].strip().lower()}:{m['content'].strip()}" for m in item["messages"]])
             elif "text" in item:
                 text_key = item["text"].strip()
             else:
-                continue  # تجاهل أي item فارغ أو غير صالح
-
+                continue
             if text_key not in seen_texts:
                 seen_texts.add(text_key)
                 unique_data.append(item)
 
-        # الحفظ بعد إزالة التكرارات
+        # الحفظ
         with open(DATASET_FILE, "w", encoding="utf-8") as f:
             json.dump(unique_data, f, ensure_ascii=False, indent=2)
 
-        # تجهيز dataset للتدريب
+        # تجهيز Dataset للتدريب
         formatted = []
         for item in unique_data:
             if "messages" in item:
@@ -298,6 +301,7 @@ def train():
     except Exception as e:
         return jsonify({"error": str(e)})
 
+
 # ===============================
 # 8️⃣ تشغيل Flask
 # ===============================