Update app.py

app.py

@@ -22,7 +22,7 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
 HF_TOKEN = os.getenv("HF_TOKEN")
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-model_name = "Qwen/Qwen2.5-3B-Instruct"
+model_name = "TheDrummer/MS-Interleaved-Upscale-39B"
 
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
@@ -31,12 +31,12 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-peft_model = AutoPeftModelForCausalLM.from_pretrained("ehristoforu/think-lora-qwen-r64")
-merged_model = peft_model.merge_and_unload()
-merged_model.save_pretrained("./coolqwen")
+#peft_model = AutoPeftModelForCausalLM.from_pretrained("ehristoforu/think-lora-qwen-r64")
+#merged_model = peft_model.merge_and_unload()
+#merged_model.save_pretrained("./coolqwen")
 #model.save_pretrained("./coolqwen")
-tokenizer.save_pretrained("./coolqwen")
-
+#tokenizer.save_pretrained("./coolqwen")
+'''
 from huggingface_hub import HfApi
 
 api = HfApi()
@@ -49,7 +49,7 @@ api.upload_folder(
     repo_type="model",
     token=HF_TOKEN,
 )
-
+'''
 
 @spaces.GPU(duration=60)
 def generate(