Update app.py

app.py

@@ -5,13 +5,11 @@ import torch
 
 # Load the model and config when the script starts
 config = PeftConfig.from_pretrained("phearion/bigbrain-v0.0.1")
+
 model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
 model = PeftModel.from_pretrained(model,
  "phearion/bigbrain-v0.0.1")
 
-# Convert the model to TorchScript
-scripted_model = torch.jit.script(model)
-
 # Load the tokenizer
 tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
 
@@ -22,7 +20,7 @@ def greet(text):
     
     # Use torch.no_grad to disable gradient calculation
     with torch.no_grad():
-        output_tokens = scripted_model.generate(**batch, max_new_tokens=20)
+        output_tokens = model.generate(**batch, max_new_tokens=15)
 
     return tokenizer.decode(output_tokens[0], skip_special_tokens=True)