fix

app.py

@@ -16,7 +16,7 @@ from optimum_benchmark import (
 )
 from optimum_benchmark.logging_utils import setup_logging
 
-from .config_store import (
+from config_store import (
     get_process_config,
     get_inference_config,
     get_openvino_config,
@@ -45,13 +45,13 @@ def run_benchmark(kwargs, oauth_token: gr.OAuthToken):
     token = oauth_token.token
 
     create_repo(repo_id, token=token, repo_type="dataset", exist_ok=True)
-    gr.Info(f'Benchmark will be pushed to "{username}/benchmarks" on the Hub')
+    gr.Info(f'Created repository "{repo_id}" on the Hub.')
 
     configs = {
         "process": {},
         "inference": {},
-        "openvino": {},
         "pytorch": {},
+        "openvino": {},
     }
 
     for key, value in kwargs.items():
@@ -74,23 +74,22 @@ def run_benchmark(kwargs, oauth_token: gr.OAuthToken):
 
     configs["process"] = ProcessConfig(**configs.pop("process"))
     configs["inference"] = InferenceConfig(**configs.pop("inference"))
-
-    configs["openvino"] = OVConfig(
+    configs["pytorch"] = PyTorchConfig(
         task=task,
         model=model,
         device=DEVICE,
-        **configs["openvino"],
+        **configs["pytorch"],
     )
-    configs["pytorch"] = PyTorchConfig(
+    configs["openvino"] = OVConfig(
         task=task,
         model=model,
         device=DEVICE,
-        **configs["pytorch"],
+        **configs["openvino"],
     )
 
     outputs = {
-        "openvino": "Running benchmark for OpenVINO backend",
         "pytorch": "Running benchmark for PyTorch backend",
+        "openvino": "Running benchmark for OpenVINO backend",
     }
 
     yield tuple(outputs[b] for b in BACKENDS)
@@ -124,7 +123,7 @@ def run_benchmark(kwargs, oauth_token: gr.OAuthToken):
         except Exception:
             gr.Error(f"Error while running benchmark for {backend}")
 
-            outputs[backend] = f"\n{traceback.format_exc()}"
+            outputs[backend] = f"\n```python\n{traceback.format_exc()}```"
 
             yield tuple(outputs[b] for b in BACKENDS)