Removed message about run button not working
Browse files
app.py
CHANGED
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@@ -194,8 +194,8 @@ def run(path,progress_bar):
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except Exception as e:
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print(f"Error recloning repo: {e}")
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if not fsave:
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-
gr.Warning("Something went wrong with GitHub and data couldn't be sent to the server. Please check the logs
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-
def download_data():
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d = {'family':family,'alleles':alleles}
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model_name = path
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data_path = f'math/{model_name}.json'
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@@ -208,7 +208,7 @@ def run(path,progress_bar):
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json.dump(d,f)
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# Provide the download link
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return gr.File.update(value=path, label="Download data", file_name=f"{model_name}.json")
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-
gr.Button("Download data",variant="primary").click(fn=download_data, inputs=[], outputs=None)
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return None
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@@ -373,7 +373,6 @@ with gr.Blocks(title="PhyloLM", theme=gr.themes.Default()) as demo:
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"- If the model has already been processed, you'll be notified and no new run will start.\n"
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"- If it hasn't been processed, it will be downloaded and be evaluated.\n\n"
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"⚠️ Be careful when submitting large LLMs (typically >15B parameters) as they may exceed the GPU RAM or the time limit, leading to failed runs.\n"
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-
" **UPDATE : The model sending module is under revision - it should be back again soon**"
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)
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with gr.Group():
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except Exception as e:
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print(f"Error recloning repo: {e}")
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if not fsave:
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+
gr.Warning("Something went wrong with GitHub and data couldn't be sent to the server. Please check the logs or report an issue. ")
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+
"""def download_data():
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d = {'family':family,'alleles':alleles}
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model_name = path
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data_path = f'math/{model_name}.json'
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json.dump(d,f)
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# Provide the download link
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return gr.File.update(value=path, label="Download data", file_name=f"{model_name}.json")
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+
gr.Button("Download data",variant="primary").click(fn=download_data, inputs=[], outputs=None)"""
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return None
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"- If the model has already been processed, you'll be notified and no new run will start.\n"
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"- If it hasn't been processed, it will be downloaded and be evaluated.\n\n"
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| 375 |
"⚠️ Be careful when submitting large LLMs (typically >15B parameters) as they may exceed the GPU RAM or the time limit, leading to failed runs.\n"
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)
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with gr.Group():
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