Spaces:
Sleeping
Sleeping
refactor: set unvisible to df when alfred is running
Browse files
app.py
CHANGED
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@@ -16,31 +16,6 @@ ptbxl_df = pd.read_csv("./res/ptbxl_database.csv")
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ptbxl_df = ptbxl_df[selected_columns]
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def get_ecg_id_from_dataframe(df: pd.DataFrame, evt: gr.SelectData):
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gr.Info(
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"The analysis of the selected ECG may take up to 10 minutes. Please wait patiently.",
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duration=15,
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)
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return evt.row_value[0]
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def get_ecg_image_from_dataframe(ecg_id):
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response = requests.post(
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f"{ALFRED_URL}/hf_demo/ptbxl_to_image", params={"ecg_id": ecg_id}, timeout=600
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)
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response.raise_for_status()
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return imread(BytesIO(response.content))
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def get_alfred_from_dataframe(ecg_id):
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response = requests.post(
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f"{ALFRED_URL}/hf_demo/alfred", params={"ecg_id": ecg_id}, timeout=600
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)
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response.raise_for_status()
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return literal_eval(response.text)
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with gr.Blocks() as demo:
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with gr.Row():
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gr.Textbox(
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@@ -66,12 +41,43 @@ with gr.Blocks() as demo:
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alfred_result = gr.Markdown(
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value="", label="Alfred said that", min_height=300, container=True
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)
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ecg_id_output.change(
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fn=get_ecg_image_from_dataframe, inputs=ecg_id_output, outputs=ecg_viewer
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)
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ecg_id_output.change(
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fn=get_alfred_from_dataframe,
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)
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demo.launch()
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ptbxl_df = ptbxl_df[selected_columns]
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with gr.Blocks() as demo:
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with gr.Row():
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gr.Textbox(
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alfred_result = gr.Markdown(
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value="", label="Alfred said that", min_height=300, container=True
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)
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def get_ecg_id_from_dataframe(df: pd.DataFrame, evt: gr.SelectData):
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gr.Info(
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"The analysis of the selected ECG may take up to 10 minutes. Please wait patiently.",
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duration=15,
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)
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return {ecg_id_output: evt.row_value[0], gr_df: gr.Dataframe(visible=False)}
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def get_ecg_image_from_dataframe(ecg_id):
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response = requests.post(
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f"{ALFRED_URL}/hf_demo/ptbxl_to_image",
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params={"ecg_id": ecg_id},
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timeout=600,
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)
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response.raise_for_status()
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return imread(BytesIO(response.content))
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def get_alfred_from_dataframe(ecg_id):
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response = requests.post(
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f"{ALFRED_URL}/hf_demo/alfred", params={"ecg_id": ecg_id}, timeout=600
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)
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response.raise_for_status()
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return {
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alfred_result: literal_eval(response.text),
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gr_df: gr.Dataframe(visible=True),
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}
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gr_df.select(
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fn=get_ecg_id_from_dataframe, inputs=gr_df, outputs=[ecg_id_output, gr_df]
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)
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ecg_id_output.change(
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fn=get_ecg_image_from_dataframe, inputs=ecg_id_output, outputs=ecg_viewer
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)
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ecg_id_output.change(
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fn=get_alfred_from_dataframe,
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inputs=ecg_id_output,
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outputs=[alfred_result, gr_df],
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)
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demo.launch()
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