Update app.py

app.py

@@ -18,61 +18,59 @@ dialect = pipeline(
 
 # ---------- Inference ----------
 def analyze(text: str):
-    if not text or not text.strip():
-        return ("", "", "", "", "", "Please enter some Arabic text.")
-
-    h = hate(text)[0]
-    d = dialect(text)[0]
-
-    hate_label, hate_conf = h.get("label",""), float(h.get("score",0))
-    dial_label, dial_conf = d.get("label",""), float(d.get("score",0))
-
-    weights = {"Neutral":0.0, "Offensive":0.5, "Sexism":1.0, "Racism":1.0, "Religious Discrimination":1.0}
-    score = hate_conf * weights.get(hate_label, 0.0)
-
-    if hate_label != "Neutral" and weights.get(hate_label,0.0) >= 1.0:
-        action = "🚨 Immediate Review — Severe content detected. Escalate to moderators."
-    elif hate_label != "Neutral":
-        action = "⚠️ Potentially Harmful — Contains offensive content. Please review."
-    elif score >= 0.49:
-        action = "⚠️ Borderline — Review recommended."
-    else:
-        action = "✅ Safe — No action needed."
-
-    return (hate_label, f"{hate_conf:.2f}", dial_label, f"{dial_conf:.2f}", f"{score:.2f}", action)
-
-# ---------- CSS ----------
+    try:
+        if not text or not text.strip():
+            return ("", "", "", "", "", "Please enter some Arabic text.")
+
+        h = hate(text)[0]
+        d = dialect(text)[0]
+
+        hate_label = h.get("label", "")
+        hate_conf = float(h.get("score", 0.0))
+        dial_label = d.get("label", "")
+        dial_conf = float(d.get("score", 0.0))
+
+        weights = {
+            "Neutral": 0.0,
+            "Offensive": 0.5,
+            "Sexism": 1.0,
+            "Racism": 1.0,
+            "Religious Discrimination": 1.0,
+        }
+        score = hate_conf * weights.get(hate_label, 0.0)
+
+        if hate_label != "Neutral" and weights.get(hate_label, 0.0) >= 1.0:
+            action = "🚨 Immediate Review — Severe content detected. Escalate to moderators."
+        elif hate_label != "Neutral":
+            action = "⚠️ Potentially Harmful — Contains offensive content. Please review."
+        elif score >= 0.49:
+            action = "⚠️ Borderline — Review recommended."
+        else:
+            action = "✅ Safe — No action needed."
+
+        return (hate_label, f"{hate_conf:.2f}", dial_label, f"{dial_conf:.2f}", f"{score:.2f}", action)
+
+    except Exception as e:
+        # keep the UI alive even if a model throws
+        return ("", "", "", "", "", f"Runtime error: {e}")
+
+# ---------- CSS (sidebar only) ----------
 CSS = """
-/* Keep the main app and textboxes same dark grey */
-body, .gradio-container, .gr-blocks, .gr-panel {
-    background-color: #1f1f1f !important;
-}
-
-/* Sidebar box styling */
-.sidebar-box {
-    background-color: #2b2b2b !important;
-    padding: 20px;
-    border-radius: 10px;
-}
-
-/* Keep text visible */
-* {
-    color: #fff !important;
-}
-
-/* Match textboxes with main background */
-textarea, input[type="text"] {
-    background-color: #1f1f1f !important;
-    border: 1px solid rgba(255,255,255,0.2) !important;
-    color: #fff !important;
+/* Only style the sidebar box; leave main area/theme untouched */
+#sidebar-box {
+  background-color: #2b2b2b;           /* the box color you liked */
+  border: 1px solid rgba(255,255,255,0.08);
+  border-radius: 10px;
+  padding: 20px;
 }
 """
 
 # ---------- UI ----------
-with gr.Blocks(css=CSS, theme="default") as demo:
+with gr.Blocks(css=CSS) as demo:
     with gr.Row(equal_height=True):
+        # Sidebar in its own box
         with gr.Column(scale=1):
-            with gr.Box(elem_classes="sidebar-box"):
+            with gr.Group(elem_id="sidebar-box"):
                 gr.Markdown("""
                 ## 🛡️ Arabic Content Safety Analyzer
 
@@ -86,11 +84,12 @@ with gr.Blocks(css=CSS, theme="default") as demo:
                 - **Recommended Action** (rule-based suggestion)
 
                 **How to Use**
-                1) Enter Arabic text in the box.  
-                2) Click **Analyze**.  
-                3) Review the results and suggested action.
+                1) أدخل النص العربي في الحقل.  
+                2) اضغط **Analyze**.  
+                3) راجع النتائج والإجراء المقترح.
                 """)
 
+        # Main app (unchanged look; uses theme defaults)
         with gr.Column(scale=3):
             gr.Markdown("### Enter Arabic Text for Analysis")
             input_text = gr.Textbox(lines=4, placeholder="اكتب هنا...", label="Arabic Text")
@@ -104,9 +103,9 @@ with gr.Blocks(css=CSS, theme="default") as demo:
 
             analyze_btn = gr.Button("Analyze", variant="primary")
             analyze_btn.click(
-                analyze,
+                fn=analyze,
                 inputs=input_text,
-                outputs=[out_hate, out_hate_conf, out_dialect, out_dialect_conf, out_score, out_action]
+                outputs=[out_hate, out_hate_conf, out_dialect, out_dialect_conf, out_score, out_action],
             )
 
 if __name__ == "__main__":