i have base code

maybe this kinda help, lol

t2i_space.py

@@ -1,70 +1,77 @@
-from pathlib import Path
-import os
-import gradio as gr
-
-def is_repo_name(s):
-    import re
-    return re.fullmatch(r'^[^/,\s]+?/[^/,\s]+?$', s)
-
-
-def is_repo_exists(repo_id):
-    from huggingface_hub import HfApi
-    api = HfApi()
-    try:
-        if api.repo_exists(repo_id=repo_id, repo_type="model"): return True
-        else: return False
-    except Exception as e:
-        print(f"Error: Failed to connect {repo_id}.")
-        return True # for safe
-
-
-def is_repo_t2i(repo_id):
-    from huggingface_hub import HfApi
-    api = HfApi()
-    try:
-        model_info = api.repo_info(repo_id=repo_id, repo_type="model")
-        if model_info.pipeline_tag == "text-to-image": return True
-        else: return False
-    except Exception as e:
-        print(f"Error: Failed to connect {repo_id}.")
-        return True # for safe
-    
-
-def save_space_contents(repo_id: str, gradio_version: str, private_ok: bool, dir: str):
-    if not is_repo_name(repo_id): #  or not is_repo_t2i(repo_id)
-        gr.Info(f"Error: Invalid repo ID: {repo_id}.")
-        return []
-    if not private_ok and not is_repo_exists(repo_id):
-        gr.Info(f"Error: Repo doesn't exist: {repo_id}.")
-        return []
-    os.makedirs(dir, exist_ok=True)
-    model_name = repo_id.split("/")[-1]
-    app_py = f"""import gradio as gr
-import os
-demo = gr.load("{repo_id}", src="models", hf_token=os.environ.get("HF_TOKEN")).launch()
-"""
-    readme_md = f"""---
-title: {model_name} Demo
-emoji: 🖼
-colorFrom: purple
-colorTo: red
-sdk: gradio
-sdk_version: {gradio_version}
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-"""
-    app_path = str(Path(dir, "app.py"))
-    with open(app_path, mode='w', encoding="utf-8") as f:
-        f.write(app_py)
-    readme_path = str(Path(dir, "README.md"))
-    with open(readme_path, mode='w', encoding="utf-8") as f:
-        f.write(readme_md)
-    return [app_path, readme_path]
-
-
-def get_t2i_space_contents(repo_id: str, gradio_version: str, private_ok: bool):
-    return save_space_contents(repo_id, gradio_version, private_ok, "./temp/")
+from pathlib import Path
+import os
+import gradio as gr
+from huggingface_hub import HfApi, HfFolder, CommitOperationAdd, create_repo, Repository
+
+def is_repo_name(s):
+    import re
+    return re.fullmatch(r'^[^/,\s]+?/[^/,\s]+?$', s)
+
+def is_repo_exists(repo_id):
+    api = HfApi()
+    try:
+        return api.repo_exists(repo_id=repo_id, repo_type="space")
+    except Exception as e:
+        print(f"Error: Failed to connect {repo_id}.")
+        return True  # for safe handling
+
+def save_space_contents(repo_id: str, gradio_version: str, private_ok: bool, dir: str):
+    if not is_repo_name(repo_id):
+        gr.Info(f"Error: Invalid repo ID: {repo_id}.")
+        return []
+    if not private_ok and not is_repo_exists(repo_id):
+        gr.Info(f"Error: Repo doesn't exist: {repo_id}.")
+        return []
+    os.makedirs(dir, exist_ok=True)
+    model_name = repo_id.split("/")[-1]
+    app_py = f"""import gradio as gr
+import os
+demo = gr.load("{repo_id}", src="models", hf_token=os.environ.get("HF_TOKEN")).launch()
+"""
+    readme_md = f"""---
+title: {model_name} Demo
+emoji: 🖼
+colorFrom: purple
+colorTo: red
+sdk: gradio
+sdk_version: {gradio_version}
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+"""
+    app_path = str(Path(dir, "app.py"))
+    with open(app_path, mode='w', encoding="utf-8") as f:
+        f.write(app_py)
+    readme_path = str(Path(dir, "README.md"))
+    with open(readme_path, mode='w', encoding="utf-8") as f:
+        f.write(readme_md)
+    return [app_path, readme_path]
+
+def upload_to_space(repo_id, app_path, readme_path):
+    api = HfApi()
+    token = HfFolder.get_token()
+    
+    # Create the repo if it does not exist
+    if not is_repo_exists(repo_id):
+        create_repo(repo_id, repo_type="space", token=token, private=False)
+
+    # Upload files to the repository
+    operations = [
+        CommitOperationAdd(path_in_repo="app.py", path_or_fileobj=app_path),
+        CommitOperationAdd(path_in_repo="README.md", path_or_fileobj=readme_path),
+    ]
+    api.create_commit(
+        repo_id=repo_id,
+        repo_type="space",
+        operations=operations,
+        commit_message="Add Gradio app and README",
+        token=token,
+    )
+    print(f"Files uploaded successfully to {repo_id}.")
+
+def get_t2i_space_contents(repo_id: str, gradio_version: str, private_ok: bool):
+    paths = save_space_contents(repo_id, gradio_version, private_ok, "./temp/")
+    if paths:
+        upload_to_space(repo_id, *paths)