Spaces:
Runtime error
Runtime error
File size: 1,021 Bytes
0314811 37527e9 0314811 37527e9 f726f33 87e455f 0314811 37527e9 0314811 87e455f 0314811 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
from fastapi import FastAPI, HTTPException
from transformers import AutoModelForCausalLM, AutoTokenizer
import os
app = FastAPI()
cache_dir = os.path.expanduser("~/.cache/huggingface/")
model_folder = os.path.join(cache_dir, "TheBloke/Mistral-7B-v0.1-GGUF")
if not os.path.exists(model_folder):
raise ValueError("Model not found in cache directory. Please download the model.")
# Load the tokenizer and model asynchronously
tokenizer = AutoTokenizer.from_pretrained(model_folder)
model = AutoModelForCausalLM.from_pretrained(model_folder)
@app.get("/")
async def generate_text():
try:
prompt = "Once upon a time, there was a"
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(input_ids=inputs["input_ids"], max_length=50, num_return_sequences=3, temperature=0.7)
generated_texts = tokenizer.batch_decode(output, skip_special_tokens=True)
return generated_texts
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) |