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import gradio as gr |
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import os |
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import numpy as np |
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import pandas as pd |
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df = pd.read_csv('/content/graph.csv') |
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start_datetime = pd.to_datetime('2011-01-01 00:00:00') |
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df['datetime'] = start_datetime + pd.to_timedelta(df['timestep'], unit='h') |
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with gr.Blocks(title="Forecasting Geomagnetic Storms", css="") as demo: |
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with gr.Row(): |
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textmd = gr.Markdown(''' |
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# Forecasting Geomagnetic Storms |
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DST (Disturbance Storm Time) index is a measure of the strength of geomagnetic storms |
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`predicted_t0` is the predicted DST value at the current hour |
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`predicted_t1` is the predicted DST value at the next hour |
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''') |
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with gr.Row(): |
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line = gr.LinePlot( |
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df, |
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x="datetime", |
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y="DST", |
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color="name", |
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color_legend_position="bottom", |
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title="Graph of Predicted DST values and Ground Truth", |
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tooltip=["datetime", "DST", "name"], |
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height=600, |
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width=1000, |
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interactive=True, |
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) |
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demo.launch(debug='False', share=False) |
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