Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -153,10 +153,12 @@ with demo:
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link_input = gr.Textbox(label="Link (str)", placeholder="请输入链接")
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submit_button = gr.Button("
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submission_result = gr.Markdown("##
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def submit_eval(score, name, base_model, env, target_research, subset, link):
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# 处理单条数据提交
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@@ -171,13 +173,15 @@ with demo:
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"State": "Checking"
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}
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# 将结果添加到全局变量中
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all_submissions.append(result)
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# 更新页面展示
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display_text = "\n".join([json.dumps(submission) for submission in all_submissions])
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return display_text
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def submit_all():
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# 将所有结果一次性上传
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out_path = "test-output.json"
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with open(out_path, "w") as f:
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f.write(json.dumps(all_submissions))
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@@ -191,8 +195,13 @@ with demo:
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commit_message=f"Add submissions to checking queue",
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)
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all_submissions = []
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return "All submissions uploaded successfully!"
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# 单条数据提交按钮点击事件
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submit_button.click(
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submit_eval,
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@@ -205,88 +214,13 @@ with demo:
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submit_all,
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inputs=[],
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outputs=submission_result
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)
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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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# headers=EVAL_COLS,
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# datatype=EVAL_TYPES,
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# row_count=5,
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# )
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# with gr.Accordion(
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# f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
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# open=False,
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# ):
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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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# headers=EVAL_COLS,
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# datatype=EVAL_TYPES,
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# row_count=5,
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# )
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# with gr.Accordion(
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# f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
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# open=False,
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# ):
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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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# headers=EVAL_COLS,
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# datatype=EVAL_TYPES,
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# row_count=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(label="Revision commit", placeholder="main")
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# model_type = gr.Dropdown(
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# choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
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# label="Model type",
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# multiselect=False,
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# value=None,
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# interactive=True,
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# )
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# with gr.Column():
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# precision = gr.Dropdown(
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# choices=[i.value.name for i in Precision if i != Precision.Unknown],
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# label="Precision",
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# multiselect=False,
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# value="float16",
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# interactive=True,
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# )
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# weight_type = gr.Dropdown(
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# choices=[i.value.name for i in WeightType],
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# label="Weights type",
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# multiselect=False,
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# value="Original",
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# interactive=True,
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# )
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# base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
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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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# weight_type,
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# model_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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with gr.Accordion("📙 Citation", open=False):
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link_input = gr.Textbox(label="Link (str)", placeholder="请输入链接")
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submit_button = gr.Button("Upload One Eval")
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with gr.Row():
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clear_button = gr.Button("Clear Uploads")
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submit_all_button = gr.Button("Submit All")
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submission_result = gr.Markdown("## Uploaded results")
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def submit_eval(score, name, base_model, env, target_research, subset, link):
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# 处理单条数据提交
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"State": "Checking"
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}
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# 将结果添加到全局变量中
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global all_submissions
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all_submissions.append(result)
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# 更新页面展示
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display_text = "\n".join([json.dumps(submission) for submission in all_submissions])
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return gr.Markdown("## Uploaded results\n\n"+display_text)
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def submit_all():
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# 将所有结果一次性上传
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global all_submissions
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out_path = "test-output.json"
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with open(out_path, "w") as f:
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f.write(json.dumps(all_submissions))
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commit_message=f"Add submissions to checking queue",
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)
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all_submissions = []
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return gr.Markdown("## All submissions uploaded successfully! \nThis will re-start the space...")
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def clear():
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global all_submissions
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all_submissions = []
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return gr.Markdown("## Uploaded results")
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# 单条数据提交按钮点击事件
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submit_button.click(
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submit_eval,
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submit_all,
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inputs=[],
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outputs=submission_result
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)
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clear_button.click(
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clear,
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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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with gr.Accordion("📙 Citation", open=False):
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