going back to gradio on HF

app.py

@@ -1,23 +1,16 @@
-import streamlit as st
+import gradio as gr
 import pandas as pd
 import numpy as np
+import random
 
-st.title('Lahore Air Quality!')
-st.subheader('Particle matter, diameter < 2.5 micrometers (PM2.5)')
+df = pd.DataFrame({
+    'height': np.random.randint(50, 70, 25),
+    'weight': np.random.randint(120, 320, 25),
+    'age': np.random.randint(18, 65, 25),
+    'ethnicity': [random.choice(["white", "black", "asian"]) for _ in range(25)]
+})
 
-### Load data
+with gr.Blocks() as demo:
+    gr.LinePlot(df, x="weight", y="height")
 
-import datetime
-import hopsworks
-from functions import util
-import os
-
-if __name__ == "__main__":
-    if "df" not in st.session_state:
-        st.session_state.df = pd.DataFrame(np.random.randn(20, 2), columns=["x", "y"])
-    else:
-        st.session_state.df = pd.DataFrame(
-            np.random.randn(20, 3),
-            columns=['a', 'b', 'c'])
-
-    st.line_chart(st.session_state.df)
+demo.launch()

app2.py

@@ -1,6 +1,23 @@
-import gradio as gr
+import streamlit as st
+import pandas as pd
+import numpy as np
 
-with gr.Blocks() as demo:
-    gr.Markdown("Helsingborg Air Quality Forecast")
-    
-demo.launch()
+st.title('Lahore Air Quality!')
+st.subheader('Particle matter, diameter < 2.5 micrometers (PM2.5)')
+
+### Load data
+
+import datetime
+import hopsworks
+from functions import util
+import os
+
+if __name__ == "__main__":
+    if "df" not in st.session_state:
+        st.session_state.df = pd.DataFrame(np.random.randn(20, 2), columns=["x", "y"])
+    else:
+        st.session_state.df = pd.DataFrame(
+            np.random.randn(20, 3),
+            columns=['a', 'b', 'c'])
+
+    st.line_chart(st.session_state.df)