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