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Runtime error
Update app.py
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app.py
CHANGED
@@ -349,7 +349,7 @@ with demo:
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gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
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with gr.Column():
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with gr.Accordion("✅ Finished Evaluations", open=False):
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with gr.Row():
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finished_eval_table = gr.components.Dataframe(
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value=finished_eval_queue_df,
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@@ -357,7 +357,7 @@ with demo:
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Accordion("🔄 Running Evaluation Queue", open=False):
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with gr.Row():
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running_eval_table = gr.components.Dataframe(
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value=running_eval_queue_df,
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@@ -366,7 +366,7 @@ with demo:
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max_rows=5,
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)
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with gr.Accordion("⏳ Pending Evaluation Queue", open=False):
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with gr.Row():
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pending_eval_table = gr.components.Dataframe(
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value=pending_eval_queue_df,
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@@ -374,54 +374,6 @@ with demo:
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Row():
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gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
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with gr.Row():
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with gr.Column():
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model_name_textbox = gr.Textbox(label="Model name")
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revision_name_textbox = gr.Textbox(
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label="revision", placeholder="main"
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)
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private = gr.Checkbox(
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False, label="Private", visible=not IS_PUBLIC
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)
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with gr.Column():
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precision = gr.Dropdown(
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choices=["float16", "bfloat16", "8bit (LLM.int8)", "4bit (QLoRA / FP4)"],
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label="Precision",
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multiselect=False,
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value="float16",
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max_choices=1,
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interactive=True,
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)
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weight_type = gr.Dropdown(
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choices=["Original", "Delta", "Adapter"],
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label="Weights type",
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multiselect=False,
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value="Original",
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max_choices=1,
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interactive=True,
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)
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base_model_name_textbox = gr.Textbox(
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label="Base model (for delta or adapter weights)"
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)
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submit_button = gr.Button("Submit Eval")
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submission_result = gr.Markdown()
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submit_button.click(
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add_new_eval,
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[
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model_name_textbox,
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base_model_name_textbox,
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revision_name_textbox,
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precision,
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private,
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weight_type,
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],
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submission_result,
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)
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
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with gr.Column():
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with gr.Accordion(f"✅ Finished Evaluations: {len(finished_eval_queue_df)}", open=False):
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with gr.Row():
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finished_eval_table = gr.components.Dataframe(
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value=finished_eval_queue_df,
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Accordion(f"🔄 Running Evaluation Queue: {len(running_eval_queue_df)}", open=False):
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with gr.Row():
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running_eval_table = gr.components.Dataframe(
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value=running_eval_queue_df,
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max_rows=5,
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)
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with gr.Accordion(f"⏳ Pending Evaluation Queue: {len(pending_eval_queue_df)}", open=False):
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with gr.Row():
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pending_eval_table = gr.components.Dataframe(
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value=pending_eval_queue_df,
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datatype=EVAL_TYPES,
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max_rows=5,
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)
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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