Update app.py

app.py

@@ -4,72 +4,72 @@ import gradio as gr
 from fastapi import FastAPI, Request
 from transformers import pipeline
 
-# ============ 1) تحميل الموديل من هجينغ فيس ============
-deployed_repo_id = "maryaa4/my-arabic-sentiment-model"
+# ===== 1) نفس كودك القديم حق الموديل + Gradio =====
 
+deployed_repo_id = "maryaa4/my-arabic-sentiment-model"
 loaded_sentiment_pipeline = pipeline(
     "sentiment-analysis",
     model=deployed_repo_id,
-    trust_remote_code=True,
+    trust_remote_code=True
 )
 
-def predict_sentiment(text: str) -> str:
-    if not text or text.strip() == "":
-        return "رجاءً أدخل نص عربي عشان أقدر أحلله 📝"
-
+def predict_sentiment(text):
+    if not text:
+        return "Please enter some text for sentiment analysis."
     result = loaded_sentiment_pipeline(text)
-    label = result[0]["label"]
-    score = result[0]["score"]
+    label = result[0]['label']
+    score = result[0]['score']
+    return f"Sentiment: {label.capitalize()}, Confidence: {score:.4f}"
 
-    return f"التصنيف: {label}\nنسبة الثقة: {score:.2f}"
-
-# ============ 2) واجهة Gradio (عشان السبيس يشتغل طبيعي) ============
-demo = gr.Interface(
+iface = gr.Interface(
     fn=predict_sentiment,
     inputs=gr.Textbox(lines=5, placeholder="أدخل النص العربي هنا..."),
     outputs="text",
     title="Arabic Sentiment Analysis",
-    description="تحليل مشاعر للنصوص العربية باستخدام الموديل maryaa4/my-arabic-sentiment-model",
+    description=(
+        "A sentiment analysis model for Arabic text, deployed from "
+        "maryaa4/my-arabic-sentiment-model. Enter Arabic text and get the predicted sentiment."
+    ),
 )
 
-# ============ 3) FastAPI + Telegram Webhook ============
+# ===== 2) إعداد FastAPI للبوت =====
 
 app = FastAPI()
 
-BOT_TOKEN = os.getenv("TELEGRAM_TOKEN")  # حطي التوكن في Secrets باسم TELEGRAM_TOKEN
+BOT_TOKEN = os.getenv("TELEGRAM_TOKEN")
 if BOT_TOKEN:
     TELEGRAM_API = f"https://api.telegram.org/bot{BOT_TOKEN}/sendMessage"
 else:
     TELEGRAM_API = None
-    print("⚠️ TELEGRAM_TOKEN مش موجود في Secrets، البوت ما راح يقدر يرسل ردود لتيليجرام.")
+    print("⚠️ TELEGRAM_TOKEN is not set. Telegram bot will not be able to reply.")
 
 @app.post("/telegram")
 async def telegram_webhook(request: Request):
-    """
-    هذا المسار اللي تيليجرام بيناديه لما يجي رسالة للبوت.
-    """
     data = await request.json()
-    print("📩 Webhook data:", data)
+    print("📩 Incoming update:", data)
 
     if "message" in data and "text" in data["message"]:
         chat_id = data["message"]["chat"]["id"]
         user_text = data["message"]["text"]
 
-        reply = predict_sentiment(user_text)
+        reply_text = predict_sentiment(user_text)
 
         if TELEGRAM_API:
             try:
                 r = requests.post(
                     TELEGRAM_API,
-                    json={"chat_id": chat_id, "text": reply},
-                    timeout=10
+                    json={"chat_id": chat_id, "text": reply_text},
+                    timeout=10,
                 )
-                print("✅ Sent to Telegram, status:", r.status_code, r.text)
+                print("✅ Sent to Telegram:", r.status_code, r.text)
             except Exception as e:
                 print("❌ Error sending to Telegram:", e)
 
     return {"ok": True}
 
-# ============ 4) ربط Gradio مع FastAPI ============
-# يخلي واجهة Gradio على "/" والويبهوك على "/telegram"
-app = gr.mount_gradio_app(app, demo, path="/")
+# ===== 3) نركّب Gradio فوق FastAPI =====
+
+# كذا:
+#   - "/"     → يفتح واجهة Gradio (ما يلزم تفتحينه أبدًا)
+#   - "/telegram" → يستخدمه تيليجرام Webhook
+app = gr.mount_gradio_app(app, iface, path="/")