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Update app.py (#6)
Browse files- Update app.py (1dfca23069b7dc5fabf96ffa0ffa7573f2863b61)
app.py
CHANGED
@@ -2,6 +2,7 @@ import gradio as gr
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import os
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import requests
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import json
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from huggingface_hub import HfApi, create_repo
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HF_TOKEN = os.environ.get("HF_TOKEN")
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@@ -30,9 +31,9 @@ def fetch_manifest(image, tag):
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else:
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return None
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def upload_to_huggingface(repo_id, folder_path):
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api = HfApi(token=
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repo_path = api.create_repo(repo_id, "model", exist_ok=True)
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print(f"Repo created {repo_path}")
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try:
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api.upload_folder(
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@@ -44,9 +45,11 @@ def upload_to_huggingface(repo_id, folder_path):
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except Exception as e:
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return f"Upload failed: {str(e)}"
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def process_image_tag(image_tag, repo_id):
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# Extract image and tag from the input
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try:
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image, tag = image_tag.split(':')
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# Fetch the manifest JSON
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@@ -73,23 +76,28 @@ def process_image_tag(image_tag, repo_id):
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download_file(config_digest, image)
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# Upload to Hugging Face Hub
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upload_result = upload_to_huggingface(repo_id, 'blobs')
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# Delete the blobs folder
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return f"Successfully fetched and downloaded files for {image}:{tag}\n{upload_result}\nBlobs folder deleted"
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except Exception as e:
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-
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return f"Error found: {str(e)}"
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# Create the Gradio interface using gr.Blocks
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with gr.Blocks() as demo:
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gr.Markdown("# Ollama <> HF Hub 🤝")
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gr.Markdown("Enter the image and tag to download the corresponding files from the Ollama registry and upload them to the Hugging Face Hub.")
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result_output = gr.Textbox(label="Result")
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import os
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import requests
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import json
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import shutil
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from huggingface_hub import HfApi, create_repo
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HF_TOKEN = os.environ.get("HF_TOKEN")
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else:
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return None
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def upload_to_huggingface(repo_id, folder_path, token=token):
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api = HfApi(token=token)
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repo_path = api.create_repo(repo_id=repo_id, repo_type="model", exist_ok=True)
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print(f"Repo created {repo_path}")
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try:
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api.upload_folder(
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except Exception as e:
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return f"Upload failed: {str(e)}"
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def process_image_tag(image_tag, repo_id, oauth_token: Union[gr.OAuthToken, None]):
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# Extract image and tag from the input
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try:
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token = oauth_token.token if oauth_token else None
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image, tag = image_tag.split(':')
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# Fetch the manifest JSON
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download_file(config_digest, image)
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# Upload to Hugging Face Hub
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upload_result = upload_to_huggingface(repo_id, 'blobs/*', token=token)
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# Delete the blobs folder
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shutil.rmtree('blobs')
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return f"Successfully fetched and downloaded files for {image}:{tag}\n{upload_result}\nBlobs folder deleted"
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except Exception as e:
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shutil.rmtree('blobs', ignore_errors=True)
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return f"Error found: {str(e)}"
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css = """
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.main_ui_logged_out{opacity: 0.3; pointer-events: none}
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"""
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# Create the Gradio interface using gr.Blocks
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# Ollama <> HF Hub 🤝")
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gr.Markdown("Enter the image and tag to download the corresponding files from the Ollama registry and upload them to the Hugging Face Hub.")
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gr.LoginButton()
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image_tag_input = gr.Textbox(placeholder="Enter Ollama ID", label="Image and Tag")
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repo_id_input = gr.Textbox(placeholder="Enter Hugging Face repo ID", label="Hugging Face Repo ID")
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result_output = gr.Textbox(label="Result")
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