Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
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@@ -40,7 +40,7 @@ def get_ckpt_names(token, radio_model_names, input_model):
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except Exception as e:
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return error_str(e), gr.update(choices=[]), None
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def convert_and_push(radio_model_names, input_model, ckpt_name, token):
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model_id = url_to_model_id(input_model) if radio_model_names == "Other" else radio_model_names
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@@ -68,6 +68,7 @@ def convert_and_push(radio_model_names, input_model, ckpt_name, token):
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upload_folder(
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folder_path=model_id,
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repo_id=model_id,
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token=token,
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create_pr=True,
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commit_message=commit_message,
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@@ -122,6 +123,7 @@ with gr.Blocks() as demo:
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with gr.Column(visible=False) as group_convert:
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gr.Markdown("## 2. Convert to Diffusers🧨")
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radio_ckpts = gr.Radio(label="Choose the checkpoint to convert", visible=False)
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gr.Markdown("Conversion may take a few minutes.")
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btn_convert = gr.Button("Convert & Push")
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@@ -151,7 +153,7 @@ with gr.Blocks() as demo:
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btn_convert.click(
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fn=convert_and_push,
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inputs=[radio_model_names, input_model, radio_ckpts, 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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except Exception as e:
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return error_str(e), gr.update(choices=[]), None
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def convert_and_push(radio_model_names, input_model, ckpt_name, token, path_in_repo):
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model_id = url_to_model_id(input_model) if radio_model_names == "Other" else radio_model_names
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upload_folder(
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folder_path=model_id,
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repo_id=model_id,
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path_in_repo=path_in_repo,
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token=token,
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create_pr=True,
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commit_message=commit_message,
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with gr.Column(visible=False) as group_convert:
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gr.Markdown("## 2. Convert to Diffusers🧨")
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radio_ckpts = gr.Radio(label="Choose the checkpoint to convert", visible=False)
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path_in_repo = gr.Textbox(label="Path where the weights will be saved", palceholder="Leave empty for root folder")
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gr.Markdown("Conversion may take a few minutes.")
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btn_convert = gr.Button("Convert & Push")
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btn_convert.click(
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fn=convert_and_push,
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inputs=[radio_model_names, input_model, radio_ckpts, input_token, path_in_repo],
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outputs=error_output,
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scroll_to_output=True
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)
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