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Update app.py
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app.py
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@@ -5,6 +5,7 @@ import shutil
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import requests
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import subprocess
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from subprocess import getoutput
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from huggingface_hub import snapshot_download, HfApi, create_repo
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api = HfApi()
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@@ -185,9 +186,12 @@ def main(image_path, b_lora_trained_folder, instance_prompt, training_type, trai
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if instance_prompt == "":
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raise gr.Error("You forgot to specify an instance prompt")
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#
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local_dir = "image_to_train"
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# Check if the directory exists and create it if necessary
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@@ -211,6 +215,12 @@ def main(image_path, b_lora_trained_folder, instance_prompt, training_type, trai
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your_username = api.whoami(token=hf_token)["name"]
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#swap_hardware(hardware="cpu-basic")
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swap_sleep_time(300)
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import requests
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import subprocess
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from subprocess import getoutput
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import webbrowser
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from huggingface_hub import snapshot_download, HfApi, create_repo
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api = HfApi()
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if instance_prompt == "":
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raise gr.Error("You forgot to specify an instance prompt")
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# URL to be opened
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log_url = f"https://huggingface.co/spaces/{os.environ['SPACE_ID']}?logs=container"
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# Open URL in the current browser window
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webbrowser.open(log_url)
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local_dir = "image_to_train"
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# Check if the directory exists and create it if necessary
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your_username = api.whoami(token=hf_token)["name"]
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# URL to be opened
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model_url = f"https://huggingface.co/{your_username}/{b_lora_trained_folder}"
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# Open URL in the current browser window
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webbrowser.open_new_tab(model_url)
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#swap_hardware(hardware="cpu-basic")
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swap_sleep_time(300)
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