Update app.py

app.py

@@ -4,19 +4,15 @@ from transformers import AutoModelForCausalLM
 
 import gradio as gr
 
-
-
-config = PeftConfig.from_pretrained("Tonic/mistralmed")
-model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
-model = PeftModel.from_pretrained(model, "Tonic/mistralmed")
-
 # Use the base model's ID
 base_model_id = "mistralai/Mistral-7B-v0.1"
 model_directory = "Tonic/mistralmed"
 
-# Load the fine-tuned model "Tonic/mistralmed"
-model = AutoModelForCausalLM.from_pretrained(model_directory, token="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")
+#instantiate the Models
 
+config = PeftConfig.from_pretrained("Tonic/mistralmed", token="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")
+model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
+model = PeftModel.from_pretrained(model, "Tonic/mistralmed", token="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")
 tokenizer = AutoTokenizer.from_pretrained(base_model_id, trust_remote_code=True)
 tokenizer.pad_token = tokenizer.eos_token
 tokenizer.padding_side = 'left'