Update app.py

app.py

@@ -1,50 +1,34 @@
 import gradio as gr
 #import tensorflow as tf
 import os
-#import numpy as np
-#import pandas as pd
+import numpy as np
+import pandas as pd
 
-def k():
-  return gr.update(value=None)
-
-def predict_input_image(file):
-  #df = pd.DataFrame(file)
-  return '0.1854984', '8.68441'
+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
+    # 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():
-    with gr.Column(scale=1, min_width=600):
-      textmd1 = gr.Markdown('''
-      ## Inputs
-      Solar wind data should be composed of solar-wind readings from the satellites, in the form of a csv file with the following columns:
-      bx_gse, by_gse, bz_gse, theta_gse, phi_gse, bx_gsm, by_gsm, bz_gsm, theta_gsm, phi_gsm, bt, density, speed, temperature, source
-      ''')
-      file1 = gr.File(label="Solar Wind Data (7 days)")
-      textmd2 = gr.Markdown('''
-      The satellite positions data should be composed of the daily positions of the DSCOVR and ACE Spacecrafts in Geocentric Solar Ecliptic (GSE) Coordinates for projections in the XY, XZ, and YZ planes. The csv file should have the following columns:
-      gse_x, gse_y, gse_z
-      ''')
-      file2 = gr.File(label="Satellite Positions Data (7 days)")
-      number = gr.inputs.Number(label="Latest Subspot Number")
 
-      with gr.Row():
-        clear_btn = gr.Button("Clear")
-        submit_btn = gr.Button("Submit", elem_id="warning", variant='primary')
-    #label = gr.outputs.Label(num_top_classes=4)
-    #label = gr.HTML(value="<div style='height:300px; border-width: 1px; border-color: #000000; border-radius: 5px;'></div>")
-    with gr.Column(scale=1, min_width=300):
-      textmd = gr.Markdown('''
-      ## Outputs
-      Predicted value of the Disturbance Storm-Time Index (Dst) at time t hour and t+1 hour
-      ''')
-      label1 = gr.outputs.Textbox(label="Dst value (t)")
-      label2 = gr.outputs.Textbox(label="Dst value (t+1)")
-
-    clear_btn.click(k, inputs=[], outputs=file1)
-    submit_btn.click(predict_input_image, inputs=file1, outputs=[label1, label2])
+  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)