rephrase description

app.py

@@ -101,7 +101,7 @@ def export(model_id: str, private_repo: bool, overwritte: bool, oauth_token: gr.
                 ov_model.save_pretrained(folder)
                 new_repo_url = api.create_repo(repo_id=new_repo_id, exist_ok=True, private=private_repo)
                 new_repo_id = new_repo_url.repo_id
-                print("Repo created successfully!", new_repo_url)
+                print("Repository created successfully!", new_repo_url)
 
                 folder = Path(folder)
                 for dir_name in (
@@ -167,7 +167,7 @@ def export(model_id: str, private_repo: bool, overwritte: bool, oauth_token: gr.
                     path_in_repo="README.md",
                     repo_id=new_repo_id,
                 )
-                return f"This model was successfully exported, find it under your repo {new_repo_url}"
+                return f"This model was successfully exported, find it under your repository {new_repo_url}"
             finally:
                 shutil.rmtree(folder, ignore_errors=True)
     except Exception as e:
@@ -176,25 +176,25 @@ def export(model_id: str, private_repo: bool, overwritte: bool, oauth_token: gr.
 DESCRIPTION = """
 This Space uses [Optimum Intel](https://huggingface.co/docs/optimum/main/en/intel/openvino/export) to automatically export a model from the Hub to the [OpenVINO IR format](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html).
 
-The resulting model will then be pushed under your HF user namespace.
+After conversion, a repository will be pushed under your namespace with the resulting model.
 
-The list of supported architectures can be found in the [optimum documentation](https://huggingface.co/docs/optimum/main/en/intel/openvino/models).
+The list of supported architectures can be found in the [documentation](https://huggingface.co/docs/optimum/main/en/intel/openvino/models).
 """
 
 model_id = HuggingfaceHubSearch(
     label="Hub Model ID",
-    placeholder="Search for model id on the hub",
+    placeholder="Search for model ID on the hub",
     search_type="model",
 )
 private_repo = gr.Checkbox(
     value=False,
-    label="Private Repo",
-    info="Create a private repo under your username",
+    label="Private repository",
+    info="Create a private repository instead of a public one",
 )
 overwritte = gr.Checkbox(
     value=False,
-    label="Overwrite repo content",
-    info="Enable pushing files on existing repo, potentially overwriting existing files",
+    label="Overwrite repository content",
+    info="Enable pushing files on existing repositories, potentially overwriting existing files",
 )
 interface = gr.Interface(
     fn=export,