Update app.py

app.py

@@ -27,8 +27,10 @@ def compute_metrics(ar_text: str) -> Dict[str, float]:
     words = tokenize_words(text_norm)
     n_sents, n_words = max(len(sents),1), max(len(words),1)
     diff_count = sum(1 for w in words if difficult_word(w))
-    try: osman = float(textstat.osman(ar_text))
-    except Exception: osman = 0.0
+    try:
+        osman = float(textstat.osman(ar_text))
+    except Exception:
+        osman = 0.0
     return {
         "Word count": n_words,
         "Sentence count": n_sents,
@@ -48,21 +50,15 @@ def analyze_text(text):
     stats = compute_metrics(text)
     return {"Predicted_Label": label, **stats}
 
-
-# ✅ هذا هو الجزء الجديد اللي يفعّل الـ API فعليًا:
+# ✅ This single interface handles both UI and API:
 demo = gr.Interface(
     fn=analyze_text,
     inputs=gr.Textbox(label="أدخل النص العربي هنا", lines=6),
     outputs=gr.JSON(label="نتائج التحليل"),
-    api_name="predict",  # <== هذا السطر أهم شي
+    api_name="predict",  # important for your frontend to call /run/predict
     title="Arabic Readability Analyzer",
     description="أداة ذكية لتقييم مقروئية النصوص العربية باستخدام نموذج AraBERT."
 )
 
-iface.launch(
-    server_name="0.0.0.0",
-    server_port=7860,
-    enable_queue=True,
-    share=True,
-    allowed_origins=["*"]  # ✅ this line enables CORS for your React app
-)
+# ✅ Launch the Space with CORS enabled
+demo.launch(server_name="0.0.0.0", server_port=7860, allowed_origins=["*"])