Spaces:
Runtime error
Runtime error
Remove png image
Browse files
app.py
CHANGED
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@@ -184,7 +184,6 @@ def generate_topics(dataset, config, split, column, nested_column, plot_type):
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gr.Plot(value=None, visible=True),
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gr.Label({message: rows_processed / limit}, visible=True),
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"",
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-
"",
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)
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while offset < limit:
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docs = get_docs_from_parquet(parquet_urls, column, offset, CHUNK_SIZE)
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@@ -266,7 +265,6 @@ def generate_topics(dataset, config, split, column, nested_column, plot_type):
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topic_plot,
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gr.Label({message: progress}, visible=True),
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"",
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"",
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)
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offset += CHUNK_SIZE
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@@ -322,10 +320,6 @@ def generate_topics(dataset, config, split, column, nested_column, plot_type):
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token=HF_TOKEN,
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)
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plot_png_link = (
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f"https://huggingface.co/spaces/{space_id}/blob/main/static_plot.png"
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)
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space_link = f"https://huggingface.co/spaces/{space_id}"
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yield (
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gr.Accordion(open=False),
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@@ -334,7 +328,6 @@ def generate_topics(dataset, config, split, column, nested_column, plot_type):
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gr.Label(
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{f"✅ Done: {rows_processed} rows have been processed": 1.0}, visible=True
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),
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f"[]({plot_png_link})",
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f"[]({space_link})",
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)
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cuda.empty_cache()
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@@ -384,9 +377,7 @@ with gr.Blocks() as demo:
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gr.Markdown("## Data map")
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full_topics_generation_label = gr.Label(visible=False, show_label=False)
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-
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open_png_label = gr.Markdown()
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open_space_label = gr.Markdown()
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topics_plot = gr.Plot()
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with gr.Accordion("Topics Info", open=False):
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topics_df = gr.DataFrame(interactive=False, visible=True)
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@@ -405,7 +396,6 @@ with gr.Blocks() as demo:
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topics_df,
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topics_plot,
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full_topics_generation_label,
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open_png_label,
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open_space_label,
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],
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)
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gr.Plot(value=None, visible=True),
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gr.Label({message: rows_processed / limit}, visible=True),
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"",
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)
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while offset < limit:
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docs = get_docs_from_parquet(parquet_urls, column, offset, CHUNK_SIZE)
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topic_plot,
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gr.Label({message: progress}, visible=True),
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"",
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)
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offset += CHUNK_SIZE
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token=HF_TOKEN,
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)
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space_link = f"https://huggingface.co/spaces/{space_id}"
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yield (
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gr.Accordion(open=False),
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gr.Label(
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{f"✅ Done: {rows_processed} rows have been processed": 1.0}, visible=True
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),
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f"[]({space_link})",
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)
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cuda.empty_cache()
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gr.Markdown("## Data map")
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full_topics_generation_label = gr.Label(visible=False, show_label=False)
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+
open_space_label = gr.Markdown()
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topics_plot = gr.Plot()
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with gr.Accordion("Topics Info", open=False):
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topics_df = gr.DataFrame(interactive=False, visible=True)
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topics_df,
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topics_plot,
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full_topics_generation_label,
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open_space_label,
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],
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)
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