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from transformers import AutoTokenizer, AutoModelForCausalLM
from huggingface_hub import login
import os
def track_health_status(input_text: str) -> str:
# Secure way to load token
hf_token = os.getenv("HF_TOKEN")
login(hf_token)
model_name = "m42-health/med42-70b"
tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token)
inputs = tokenizer.encode(input_text, return_tensors="pt", truncation=True)
outputs = model.generate(inputs, max_length=512)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
return result
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