Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -4,111 +4,54 @@ from fastapi import FastAPI, Request
|
|
| 4 |
from transformers import pipeline
|
| 5 |
import torch
|
| 6 |
|
| 7 |
-
|
| 8 |
-
# 1) إعداد توكن البوت
|
| 9 |
-
# ----------------------
|
| 10 |
-
BOT_TOKEN = "8513655100:AAH5bgPDpXioJNW-o5IiNy6sqOVQvjvQXS0" # يفضل بعدين تحطيه من Secrets
|
| 11 |
TELEGRAM_API_URL = f"https://api.telegram.org/bot{BOT_TOKEN}"
|
| 12 |
|
| 13 |
-
|
| 14 |
-
# 2) تحميل المودل مرة وحدة
|
| 15 |
-
# ----------------------
|
| 16 |
-
print("Loading model...")
|
| 17 |
|
| 18 |
device = 0 if torch.cuda.is_available() else -1
|
|
|
|
| 19 |
sentiment_pipeline = pipeline(
|
| 20 |
"sentiment-analysis",
|
| 21 |
-
model=
|
| 22 |
-
|
| 23 |
-
|
| 24 |
)
|
| 25 |
|
| 26 |
-
|
| 27 |
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
def analyze_text(text: str) -> str:
|
| 32 |
-
text = text.strip()
|
| 33 |
-
if not text:
|
| 34 |
-
return "رجاءً أرسل لي نص عربي عشان أحلل مشاعره 🌟"
|
| 35 |
|
| 36 |
result = sentiment_pipeline(text)[0]
|
| 37 |
label = result["label"]
|
| 38 |
score = result["score"]
|
| 39 |
|
| 40 |
-
|
| 41 |
-
lower_label = label.lower()
|
| 42 |
-
if "pos" in lower_label:
|
| 43 |
-
mood = "إيجابي"
|
| 44 |
-
emoji = "😊✨"
|
| 45 |
-
elif "neg" in lower_label:
|
| 46 |
-
mood = "سلبي"
|
| 47 |
-
emoji = "😔"
|
| 48 |
-
else:
|
| 49 |
-
mood = "محايد"
|
| 50 |
-
emoji = "😐"
|
| 51 |
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
f"
|
| 55 |
-
|
| 56 |
-
f"{emoji}"
|
| 57 |
)
|
| 58 |
|
| 59 |
-
# تيليجرام ما يحب الماركداون الغلط، فخليك حاليًا بدون parse_mode
|
| 60 |
-
return reply
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
def send_message(chat_id: int, text: str):
|
| 64 |
-
try:
|
| 65 |
-
requests.post(
|
| 66 |
-
TELEGRAM_API_URL + "/sendMessage",
|
| 67 |
-
json={
|
| 68 |
-
"chat_id": chat_id,
|
| 69 |
-
"text": text
|
| 70 |
-
},
|
| 71 |
-
timeout=10
|
| 72 |
-
)
|
| 73 |
-
except Exception as e:
|
| 74 |
-
print("Error sending message:", e)
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
# ----------------------
|
| 78 |
-
# 4) تطبيق FastAPI + /telegram
|
| 79 |
-
# ----------------------
|
| 80 |
-
app = FastAPI()
|
| 81 |
-
|
| 82 |
@app.post("/telegram")
|
| 83 |
async def telegram_webhook(request: Request):
|
| 84 |
update = await request.json()
|
| 85 |
-
print(
|
| 86 |
|
| 87 |
if "message" not in update:
|
| 88 |
return {"ok": True}
|
| 89 |
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
text = message.get("text", "")
|
| 93 |
-
|
| 94 |
-
if text == "/start":
|
| 95 |
-
send_message(
|
| 96 |
-
chat_id,
|
| 97 |
-
"هلا 🤍\n"
|
| 98 |
-
"أرسل لي أي جملة بالعربي، وأنا أقولك إذا إحساسها إيجابي، سلبي، أو محايد ✨"
|
| 99 |
-
)
|
| 100 |
-
return {"ok": True}
|
| 101 |
|
| 102 |
reply = analyze_text(text)
|
| 103 |
-
|
| 104 |
|
| 105 |
return {"ok": True}
|
| 106 |
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
# ----------------------
|
| 111 |
-
if __name__ == "__main__":
|
| 112 |
-
import uvicorn
|
| 113 |
-
# مهم جداً: هذا اللي يخلي السيرفر يشتغل وما يطلع Runtime error
|
| 114 |
-
uvicorn.run("app:app", host="0.0.0.0", port=7860)
|
|
|
|
| 4 |
from transformers import pipeline
|
| 5 |
import torch
|
| 6 |
|
| 7 |
+
BOT_TOKEN = "8513655100:AAH5bgPDpXioJNW-o5IiNy6sqOVQvjvQXS0"
|
|
|
|
|
|
|
|
|
|
| 8 |
TELEGRAM_API_URL = f"https://api.telegram.org/bot{BOT_TOKEN}"
|
| 9 |
|
| 10 |
+
MODEL_REPO = "maryaa4/my-arabic-sentiment-model"
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
device = 0 if torch.cuda.is_available() else -1
|
| 13 |
+
|
| 14 |
sentiment_pipeline = pipeline(
|
| 15 |
"sentiment-analysis",
|
| 16 |
+
model=MODEL_REPO,
|
| 17 |
+
trust_remote_code=True,
|
| 18 |
+
device=device
|
| 19 |
)
|
| 20 |
|
| 21 |
+
app = FastAPI()
|
| 22 |
|
| 23 |
+
def analyze_text(text):
|
| 24 |
+
if not text.strip():
|
| 25 |
+
return "أرسل لي نص عربي عشان أحلل لك المشاعر 🌟"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
|
| 27 |
result = sentiment_pipeline(text)[0]
|
| 28 |
label = result["label"]
|
| 29 |
score = result["score"]
|
| 30 |
|
| 31 |
+
return f"التصنيف: {label}\nدرجة الثقة: {score:.3f}"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
+
def send_reply(chat_id, text):
|
| 34 |
+
requests.post(
|
| 35 |
+
f"{TELEGRAM_API_URL}/sendMessage",
|
| 36 |
+
json={"chat_id": chat_id, "text": text}
|
|
|
|
| 37 |
)
|
| 38 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
@app.post("/telegram")
|
| 40 |
async def telegram_webhook(request: Request):
|
| 41 |
update = await request.json()
|
| 42 |
+
print(update)
|
| 43 |
|
| 44 |
if "message" not in update:
|
| 45 |
return {"ok": True}
|
| 46 |
|
| 47 |
+
chat_id = update["message"]["chat"]["id"]
|
| 48 |
+
text = update["message"].get("text", "")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
|
| 50 |
reply = analyze_text(text)
|
| 51 |
+
send_reply(chat_id, reply)
|
| 52 |
|
| 53 |
return {"ok": True}
|
| 54 |
|
| 55 |
+
@app.get("/")
|
| 56 |
+
def home():
|
| 57 |
+
return {"status": "running", "message": "Telegram bot is alive"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|