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from fastapi import FastAPI, Request
from transformers import AutoTokenizer, AutoModelForCausalLM
app = FastAPI()
model_path = "tinyllama-finetuned-skin"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)
@app.post("/generate")
async def generate(request: Request):
data = await request.json()
prompt = data["prompt"]
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
return {"response": result} |