Update app.py to use fine-tuned model

app.py

@@ -4,8 +4,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
 # Load the model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", trust_remote_code=True, torch_dtype=torch.bfloat16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("braindeck/text2text", trust_remote_code=True, subfolder="checkpoints/model")
+model = AutoModelForCausalLM.from_pretrained("braindeck/text2text", trust_remote_code=True, torch_dtype=torch.bfloat16, device_map="auto", subfolder="checkpoints/model")
 
 def generate_response(prompt):
     """