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Build error
Improvements for Hardware Selection
#4
by
radames
- opened
app.py
CHANGED
@@ -2,7 +2,7 @@ import os
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import subprocess
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from huggingface_hub import HfApi, upload_folder
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import gradio as gr
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-
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from huggingface_hub import whoami, list_models
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@@ -69,7 +69,7 @@ def on_load_model(user_model_id, other_model_id, token):
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except Exception as e:
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return None, None, None, None, gr.update(value=error_str(e))
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def create_and_push(space_type, other_model_name, radio_model_names, model_id, title, description, prefix, update, token):
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try:
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@@ -80,7 +80,14 @@ def create_and_push(space_type, other_model_name, radio_model_names, model_id, t
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exist_ok=update,
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repo_type="space",
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space_sdk="gradio",
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)
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# 2. Replace the name, title, and description in the template
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with open("template/app_simple.py" if space_type == "Simple" else "template/app_advanced.py", "r") as f:
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@@ -137,6 +144,7 @@ with gr.Blocks() as demo:
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gr.Markdown("#### 1. Choose a model")
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input_token = gr.Textbox(
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max_lines=1,
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label="Enter your Hugging Face token",
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placeholder="WRITE permission is required!",
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)
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@@ -158,8 +166,9 @@ with gr.Blocks() as demo:
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- **Advanced** - Runs on CPU by default, with the option to upgrade to GPU. You can control image generation parameters: guidance, number of steps, image size, etc. Also supports **image-to-image** generation.""")
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space_type =gr.Radio(label="Space type", choices=["Simple", "Advanced"], value="Simple")
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update = gr.Checkbox(label="Update the space if it already exists?")
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brn_create = gr.Button("Create the space")
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error_output = gr.Markdown(label="Output")
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@@ -181,7 +190,7 @@ with gr.Blocks() as demo:
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brn_create.click(
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fn=create_and_push,
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inputs=[space_type, other_model_name, radio_model_names, name, title, description, prefix, update, input_token],
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outputs=[error_output],
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scroll_to_output=True
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)
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@@ -197,4 +206,4 @@ with gr.Blocks() as demo:
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""")
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demo.queue()
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demo.launch(debug=True)
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import subprocess
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from huggingface_hub import HfApi, upload_folder
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import gradio as gr
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import requests
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from huggingface_hub import whoami, list_models
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except Exception as e:
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return None, None, None, None, gr.update(value=error_str(e))
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def create_and_push(space_type, hardware, private_space, other_model_name, radio_model_names, model_id, title, description, prefix, update, token):
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try:
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exist_ok=update,
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repo_type="space",
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space_sdk="gradio",
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private=private_space
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)
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api_url = f'https://huggingface.co/api/spaces/{model_id}'
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headers = { "Authorization" : f"Bearer {token}"}
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# add HUGGING_FACE_HUB_TOKEN secret to new space
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requests.post(f'{api_url}/secrets', json={"key":"HUGGING_FACE_HUB_TOKEN","value":token}, headers=headers)
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# set new Space Hardware flavor
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requests.post(f'{api_url}/hardware', json={'flavor': hardware}, headers=headers)
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# 2. Replace the name, title, and description in the template
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with open("template/app_simple.py" if space_type == "Simple" else "template/app_advanced.py", "r") as f:
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gr.Markdown("#### 1. Choose a model")
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input_token = gr.Textbox(
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max_lines=1,
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type="password",
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label="Enter your Hugging Face token",
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placeholder="WRITE permission is required!",
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)
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- **Advanced** - Runs on CPU by default, with the option to upgrade to GPU. You can control image generation parameters: guidance, number of steps, image size, etc. Also supports **image-to-image** generation.""")
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space_type =gr.Radio(label="Space type", choices=["Simple", "Advanced"], value="Simple")
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update = gr.Checkbox(label="Update the space if it already exists?")
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private_space = gr.Checkbox(label="Private Space")
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gr.Markdown("Choose the new Space Hardware <small>[check pricing page](https://huggingface.co/pricing#spaces), you need payment method to upgrade your Space hardware</small>")
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hardware = gr.Dropdown(["cpu-basic","cpu-upgrade","t4-small","t4-medium","a10g-small","a10g-large"],value = "cpu-basic", label="Space Hardware")
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brn_create = gr.Button("Create the space")
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error_output = gr.Markdown(label="Output")
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brn_create.click(
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fn=create_and_push,
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inputs=[space_type, hardware, private_space, other_model_name, radio_model_names, name, title, description, prefix, update, input_token],
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outputs=[error_output],
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scroll_to_output=True
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)
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""")
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demo.queue()
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demo.launch(debug=True)
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