Update app.py

app.py

@@ -24,7 +24,7 @@ save_directory = "pretrained_models/t5_ckpts/t5-v1_1-xxl"
 # Modeli indir
 st_time_t5 = time.time()
 download_t5_model(model_id, save_directory)
-print(f"T5 Download Time : {st_time_t5-time.time()} seconds")
+print(f"T5 Download Time : {time.time()-st_time_t5} seconds")
 
 def download_model(repo_id, model_name):
     model_path = hf_hub_download(repo_id=repo_id, filename=model_name)
@@ -32,7 +32,7 @@ def download_model(repo_id, model_name):
 
 import glob
 
-@spaces.GPU(duration=1500)
+@spaces.GPU(duration=500)
 def run_model(temp_config_path, ckpt_path):
     start_time = time.time()  # Record the start time
     cmd = [
@@ -58,7 +58,7 @@ def run_inference(model_name, prompt_text):
     config_path = config_mapping[model_name]
     st_time_sora = time.time()
     ckpt_path = download_model(repo_id, model_name)
-    print(f"Open-Sora Download Time : {st_time_sora-time.time()} seconds")
+    print(f"Open-Sora Download Time : {time.time()-st_time_sora} seconds")
     
     # Save prompt_text to a temporary text file
     prompt_file = tempfile.NamedTemporaryFile(delete=False, suffix=".txt", mode='w')