app.py

from fastapi import FastAPI
from pydantic import BaseModel
from sentence_transformers import SentenceTransformer
import os
os.environ['TRANSFORMERS_CACHE'] = '/app/cache'

app = FastAPI(
    title="Text Embedding API",
    description="Dùng mô hình Vietnamese_Embedding từ AITeamVN",
    version="1.0"
)

# Load mô hình
model = SentenceTransformer("AITeamVN/Vietnamese_Embedding")
model.max_seq_length = 2048

# Định nghĩa schema input
class TextInput(BaseModel):
    texts: list[str]

@app.post("/embed")
def embed_text(data: TextInput):
    inputs = [t.strip() for t in data.texts]
    embs = model.encode(inputs, convert_to_numpy=True)
    return {"embeddings": [e.tolist() for e in embs]}