Update app.py

I want it to get the new dataset version

app.py

@@ -17,9 +17,7 @@ COMPUTE_SPACE = f"{OWNER}/launch-computation-example"
 TOKEN = os.environ.get("DEBUG")
 API = HfApi(token=TOKEN)
 
-requests= load_dataset("EnergyStarAI/requests_debug", split="test", token=TOKEN)
-requests_dset = requests.to_pandas()
-model_list= requests_dset[requests_dset['status'] == 'COMPLETED']
+
 
 tasks = ['ASR', 'Object Detection', 'Text Classification', 'Image Captioning', 'Question Answering', 'Text Generation', 'Image Classification',
         'Sentence Similarity', 'Image Generation', 'Summarization']
@@ -52,6 +50,9 @@ def add_new_eval(
     model_name = repo_id.split("/")[1]  
     
     current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+    requests= load_dataset("EnergyStarAI/requests_debug", split="test", token=TOKEN)
+    requests_dset = requests.to_pandas()
+    model_list= requests_dset[requests_dset['status'] == 'COMPLETED']
     if repo_id in model_list['model'].tolist():
         return 'This model has already been run!'
     else:
@@ -59,7 +60,6 @@ def add_new_eval(
         try:
             model_info = API.model_info(repo_id=repo_id)
         except Exception:
-
             return "Could not find information for model %s" % (model)
     
         model_size = get_model_size(model_info=model_info)
@@ -91,7 +91,11 @@ def add_new_eval(
         return start_compute_space()
 
 def print_existing_models():
-    return model_list        
+    requests= load_dataset("EnergyStarAI/requests_debug", split="test", token=TOKEN)
+    requests_dset = requests.to_pandas()
+    model_list= requests_dset[requests_dset['status'] == 'COMPLETED']
+    return model_list    
+
 
 with gr.Blocks() as demo:
     gr.Markdown("# Energy Star Submission Portal - v.0 (2024) 🌎 💻 🌟")