hamnamughal commited on
Commit
ef41036
·
verified ·
1 Parent(s): 8d99d3b

Update health_tracker_agent.py

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Files changed (1) hide show
  1. health_tracker_agent.py +4 -7
health_tracker_agent.py CHANGED
@@ -1,19 +1,16 @@
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- import os
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  from huggingface_hub import login
 
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  def track_health_status(input_text: str) -> str:
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- # Get token from environment variable
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  hf_token = os.getenv("HF_TOKEN")
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- if not hf_token:
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- raise ValueError("Hugging Face token not set in environment variable 'HF_TOKEN'")
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-
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  login(hf_token)
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  model_name = "m42-health/med42-70b"
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- tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=True)
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- model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=True)
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  inputs = tokenizer.encode(input_text, return_tensors="pt", truncation=True)
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  outputs = model.generate(inputs, max_length=512)
 
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  from huggingface_hub import login
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+ import os
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  def track_health_status(input_text: str) -> str:
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+ # Secure way to load token
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  hf_token = os.getenv("HF_TOKEN")
 
 
 
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  login(hf_token)
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  model_name = "m42-health/med42-70b"
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+ tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
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+ model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token)
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  inputs = tokenizer.encode(input_text, return_tensors="pt", truncation=True)
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  outputs = model.generate(inputs, max_length=512)