Update app.py

app.py

@@ -1,5 +1,5 @@
 import pandas_profiling as pp
-from huggingface_hub.hf_api import create_repo
+from huggingface_hub.hf_api import create_repo, upload_file
 from huggingface_hub.repository import Repository
 import gradio as gr
 import pandas as pd
@@ -20,25 +20,12 @@ def profile_dataset(dataset, username, token, dataset_name):
     
     repo_url = create_repo(f"{username}/{dataset_name}", repo_type = "space", token = token, space_sdk = "static")
     
-    subprocess.run(
-    f"git clone {repo_url}".split(),
-    encoding="utf-8",
-    cwd= os.getcwd(),
-    check=True,
-    env=os.environ.copy(),
-    )
-
-    repo = Repository(
-    clone_from = repo_url,
-    local_dir=f"{username}/{dataset_name}",
-    git_user = "merve", 
-    git_email = "[email protected]",
-    )
     
     profile.to_file(f"{username}/{dataset_name}/index.html")
-    repo.git_add()
-    repo.git_commit(commit_message = "Dataset report")
-    repo.git_push()
+    upload_file(path_or_fileobj =f"{username}/{dataset_name}/index.html", repo_id =f"{username}/{dataset_name}", repo_type = "space", token=token)
+    
+    
+    
     return f"Your dataset report will be ready at {repo_url}"
 
 gr.Interface(profile_dataset, inputs = [dataset, username, token, dataset_name], outputs=[output_text], enable_queue = True).launch(debug=True)