Update app.py

app.py

@@ -14,11 +14,11 @@ client = OpenAI(
 
 
 # Load model and tokenizer
-our_model_path = "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"
+'''our_model_path = "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 our_model = AutoModelForCausalLM.from_pretrained(our_model_path, device_map="auto", torch_dtype="auto")
-our_tokenizer = AutoTokenizer.from_pretrained(our_model_path)
+our_tokenizer = AutoTokenizer.from_pretrained(our_model_path)'''
 
 def format_math(text):
     text = re.sub(r"\[(.*?)\]", r"$$\1$$", text, flags=re.DOTALL)
@@ -184,7 +184,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
                 
                 Try the example problems below from JEE Main 2025 or type in your own problems to see how our model breaks down complex reasoning problems.
 
-                Please note that once you close this demo window, all currently saved conversations will be lost.
+                NOTE: that once you close this demo window, all currently saved conversations will be lost.
                 """
             )