from fastapi import FastAPI
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the model and tokenizer
model_name = "sander-wood/bgpt"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

app = FastAPI()

@app.get("/")
def greet_json():
    return {"Hello": "World!"}

@app.get("/generate/")
def generate_text(prompt: str):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=100, num_return_sequences=1)
    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return {"Generated Text": generated_text}