Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
from fastapi import FastAPI, Header, HTTPException
|
| 3 |
+
from transformers import pipeline
|
| 4 |
+
from pydantic import BaseModel
|
| 5 |
+
|
| 6 |
+
import os
|
| 7 |
+
|
| 8 |
+
# Загружаем секретный ключ из Hugging Face Secrets
|
| 9 |
+
API_KEY = os.getenv("API_KEY")
|
| 10 |
+
|
| 11 |
+
# Загружаем модель один раз при старте
|
| 12 |
+
sentiment_model = pipeline(
|
| 13 |
+
"sentiment-analysis",
|
| 14 |
+
model="cardiffnlp/twitter-roberta-base-sentiment-latest"
|
| 15 |
+
)
|
| 16 |
+
|
| 17 |
+
# FastAPI приложение
|
| 18 |
+
app = FastAPI(title="Sentiment Analysis API")
|
| 19 |
+
|
| 20 |
+
# Модель запроса
|
| 21 |
+
class TextRequest(BaseModel):
|
| 22 |
+
text: str
|
| 23 |
+
|
| 24 |
+
# Эндпоинт для анализа
|
| 25 |
+
@app.post("/analyze")
|
| 26 |
+
def analyze_sentiment(request: TextRequest, x_api_key: str = Header(...)):
|
| 27 |
+
if x_api_key != API_KEY:
|
| 28 |
+
raise HTTPException(status_code=401, detail="Invalid API Key")
|
| 29 |
+
result = sentiment_model(request.text)
|
| 30 |
+
return {"result": result}
|
| 31 |
+
|
| 32 |
+
@app.get("/hello")
|
| 33 |
+
def hello_world():
|
| 34 |
+
return {"message": "Hello World"}
|