demo v2

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import numpy as np
 import datetime
 import pandas as pd
+import matplotlib.pyplot as plt
 
 import hopsworks
 
@@ -24,8 +25,12 @@ def get_price():
     price_predictions = pd.DataFrame()
     price_predictions['date'] = dates
     price_predictions['price'] = prices
+
+    fig = plt.figure()
+    price_predictions.plot(kind='line', x='date', y='price')
+
     # print(price_predictions)
-    return price_predictions
+    return fig
 
 demo = gr.Interface(
     fn=get_price,
@@ -33,7 +38,8 @@ demo = gr.Interface(
     description="Predicted daily average energy prices over the coming 7 days",
     allow_flagging="never",
     inputs=[],
-    outputs=gr.Timeseries(x="date", y=["price"]))
+    outputs=['plot']
+)
 
 demo.launch()
 

requirements.txt

@@ -1 +1,2 @@
 hopsworks
+pyplot