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from fastapi import FastAPI
from pydantic import BaseModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import uvicorn
app = FastAPI()
model_id = "GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
class ChatRequest(BaseModel):
prompt: str
max_new_tokens: int = 256
temperature: float = 0.7
top_p: float = 0.95
@app.post("/chat")
async def chat(request: ChatRequest):
inputs = tokenizer(request.prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=request.max_new_tokens,
temperature=request.temperature,
top_p=request.top_p,
do_sample=True,
pad_token_id=tokenizer.eos_token_id,
)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
return {"response": result}
# This will only run locally or in Spaces, not if you import this module
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860)
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