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Update app.py
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app.py
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@@ -34,24 +34,46 @@ app.mount("/static", StaticFiles(directory=static_dir), name="static")
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# Gradio stuff
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def predict(text_input):
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file_name = f"{datetime.utcnow().strftime('%s')}.html"
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file_path = static_dir / file_name
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print(file_path)
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iframe = f"""<iframe src="/static/{file_name}" width="100%" height="500px"></iframe>"""
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link = f'<a href="/static/{file_name}" target="_blank">{file_name}</a>'
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return link, iframe
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-
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with gr.Blocks() as block:
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gr.Markdown("""
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## Gradio + FastAPI + Static Server
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# Gradio stuff
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import datamapplot
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import numpy as np
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import requests
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import io
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def predict(text_input):
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file_name = f"{datetime.utcnow().strftime('%s')}.html"
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file_path = static_dir / file_name
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print(file_path)
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base_url = "https://github.com/TutteInstitute/datamapplot"
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data_map_file = requests.get(
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f"{base_url}/raw/main/examples/arxiv_ml_data_map.npy"
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)
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arxivml_data_map = np.load(io.BytesIO(data_map_file.content))
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arxivml_label_layers = []
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for layer_num in range(5):
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label_file = requests.get(
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f"{base_url}/raw/interactive/examples/arxiv_ml_layer{layer_num}_cluster_labels.npy"
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)
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arxivml_label_layers.append(np.load(io.BytesIO(label_file.content), allow_pickle=True))
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plot = datamapplot.create_interactive_plot(
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arxivml_data_map,
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arxivml_label_layers[2],)
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plot.save(file_path)
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iframe = f"""<iframe src="/static/{file_name}" width="100%" height="500px"></iframe>"""
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link = f'<a href="/static/{file_name}" target="_blank">{file_name}</a>'
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return link, iframe
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with gr.Blocks() as block:
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gr.Markdown("""
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## Gradio + FastAPI + Static Server
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