Delete sentimental.py

sentimental.py

@@ -1,33 +0,0 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-import torch
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
-
-# === Загрузка модели ===
-MODEL_NAME = "nlptown/bert-base-multilingual-uncased-sentiment"
-tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
-model.eval()
-
-# === FastAPI приложение ===
-app = FastAPI(title="Sentiment Analysis API")
-
-# === Схема запроса ===
-class TextRequest(BaseModel):
-    text: str
-
-# === Логика сентимента ===
-def analyze_sentiment(message: str) -> float:
-    inputs = tokenizer(message, return_tensors="pt", truncation=True)
-    with torch.no_grad():
-        logits = model(**inputs).logits
-    probs = torch.softmax(logits, dim=-1)
-    stars = torch.argmax(probs, dim=-1).item() + 1  # от 1 до 5
-    sentiment = (stars - 3) * 2.5  # нормируем -5..+5
-    return round(sentiment, 2)
-
-# === Эндпоинт API ===
-@app.post("/sentiment")
-def sentiment(request: TextRequest):
-    score = analyze_sentiment(request.text)
-    return {"sentiment_score": score}