Update app.py

app.py

@@ -511,13 +511,13 @@ def start_training(
     }
 
     # Apply advanced YAML overrides if any
-    if use_more_advanced_options and more_advanced_options:
-        advanced_config = yaml.safe_load(more_advanced_options)
-        config["config"]["process"][0] = recursive_update(config["config"]["process"][0], advanced_config)
+    # if use_more_advanced_options and more_advanced_options:
+    #     advanced_config = yaml.safe_load(more_advanced_options)
+    #     config["config"]["process"][0] = recursive_update(config["config"]["process"][0], advanced_config)
 
     # Save YAML config
-    os.makedirs("tmp_configs", exist_ok=True)
-    config_path = f"tmp_configs/{uuid.uuid4()}_{slugged_lora_name}.yaml"
+    os.makedirs("/tmp/tmp_configs", exist_ok=True)
+    config_path = f"/tmp/tmp_configs/{uuid.uuid4()}_{slugged_lora_name}.yaml"
     with open(config_path, "w") as f:
         yaml.dump(config, f)
 
@@ -576,6 +576,7 @@ def auto_run_lora_from_repo():
         # ✅ Create dataset folder with metadata.jsonl
         dataset_folder = os.path.join("/tmp", f"datasets_{uuid.uuid4()}")
         os.makedirs(dataset_folder, exist_ok=True)
+        print('DATA SET iS CREATED =================================================')
 
         jsonl_file_path = os.path.join(dataset_folder, "metadata.jsonl")
         with open(jsonl_file_path, "a") as jsonl_file:
@@ -600,6 +601,8 @@ def auto_run_lora_from_repo():
             yaml.dump(config, f)
 
         # ✅ Final call to train
+        print(f" slugged_lora{ slugged_lora_name}")
+        print('Now Start Trainng Set called all data si rADYU =================================================')
         result = start_training(
             lora_name=LORA_NAME,
             concept_sentence=CONCEPT_SENTENCE,