Create deploy.py

deploy.py

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+# we import HfApi which is the main class for interacting
+# with the hugging face hub programmatically
+from huggingface_hub import HfApi
+
+# we import os to help build file paths
+import os
+
+# we create an instance of the HfApi class
+# this is the object we use to talk to hugging face
+api = HfApi()
+
+# replace this with your actual hugging face username
+HF_USERNAME = "your_username_here"
+
+# this is the name your space will have on hugging face
+# the full url will be huggingface.co/spaces/your_username/gatekeeper-model
+SPACE_NAME = "gatekeeper-model"
+
+# we combine the username and space name into the full repo id
+# hugging face uses this format: username/space-name
+REPO_ID = f"{HF_USERNAME}/{SPACE_NAME}"
+
+# this creates the space repository on hugging face
+# repo_type="space" tells it this is a gradio space not a model or dataset
+# space_sdk="gradio" tells hugging face this space uses gradio
+# private=False makes the space publicly accessible
+# if you want it private set private=True
+api.create_repo(
+    repo_id=REPO_ID,
+    repo_type="space",
+    space_sdk="gradio",
+    private=False
+)
+
+print(f"Space created at: https://huggingface.co/spaces/{REPO_ID}")
+
+# this uploads all the files in the specified local folder to the space
+# folder_path is the path to your local project folder
+# repo_id is the destination space on hugging face
+# repo_type="space" confirms we are uploading to a space
+api.upload_folder(
+    folder_path="./gatekeeper-space",
+    repo_id=REPO_ID,
+    repo_type="space"
+)
+
+print(f"Deployment complete")
+print(f"Visit your space at: https://huggingface.co/spaces/{REPO_ID}")