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from fastapi import APIRouter, HTTPException
from .schemas import ConfigRequest
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline, AutoModelForSequenceClassification
from app.models import predict_sentiment
router = APIRouter()
model_name = "fine-tuned-model"
tokenizer = AutoTokenizer.from_pretrained(model_name, use_safetensors=True)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
@router.post("/")
def configure_model(config: ConfigRequest):
global model, tokenizer, qa_pipeline
try:
model = AutoModelForQuestionAnswering.from_pretrained(config.model_name)
tokenizer = AutoTokenizer.from_pretrained(config.model_name)
return {"message": f"Model loaded successfully: {config.model_name}"}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
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