Update app.py

app.py

@@ -69,7 +69,7 @@ tokenizer.padding_side = 'left'
 model_config = PeftConfig.from_pretrained("Tonic/GaiaMiniMed")
 # Load the PEFT model with the specified configuration
 peft_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct", config=model_config)
-peft_model = PeftModel.from_pretrained(model_id="Tonic/GaiaMiniMed")
+peft_model = PeftModel.from_pretrained(model="Tonic/GaiaMiniMed")
 peft_model = PeftModel.from_pretrained(peft_model, "Tonic/GaiaMiniMed")
 
 
@@ -81,9 +81,9 @@ peft_model = PeftModel.from_pretrained(peft_model, "Tonic/GaiaMiniMed")
 #peft_model = AutoModelForCausalLM.from_pretrained(base_model_id, config=model_config)
 
 # Load the PEFT model
-# peft_config = PeftConfig.from_pretrained("Tonic/mistralmed", token="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")
+# peft_config = PeftConfig.from_pretrained("Tonic/mistralmed")
 # peft_model = MistralForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1", trust_remote_code=True)
-# peft_model = PeftModel.from_pretrained(peft_model, "Tonic/mistralmed", token="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")
+# peft_model = PeftModel.from_pretrained(peft_model, "Tonic/mistralmed")
 
 class ChatBot:
     def __init__(self, system_prompt="You are an expert medical analyst:"):