create app.py

app.py

@@ -0,0 +1,26 @@
+import pandas as pd
+import gradio as gr
+
+
+URL = "https://docs.google.com/spreadsheets/d/1qFJ7N4yubNyq7BBvLiNFcgpyWFV66wDGCa48axGNp_c/edit?usp=sharing"
+csv_url = URL.replace('/edit?usp=', '/export?format=csv&usp=')
+
+def get_data():
+  df = pd.read_csv(csv_url)
+  df['Tweet Volume'] = df['Tweet Volume'].str[:-1]
+  df['Tweet Volume'] = df['Tweet Volume'].transform( lambda x: x[-2:] if 'Under' in x else x)
+  df['Trending Topic / Hashtag'] = df['Trending Topic / Hashtag'].transform( lambda x: x.split()[0])
+  df["Tweet Volume"] = pd.to_numeric(df["Tweet Volume"])
+  df = df.sort_values(by=['Tweet Volume'], ascending=False)
+  return df[["Trending Topic / Hashtag",	"Tweet Volume"]][:15]
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 📈 Real-Time Line Plot")
+    with gr.Row():
+        with gr.Column():
+            gr.DataFrame(get_data, every=5)
+        with gr.Column():
+            gr.LinePlot(get_data, x="Trending Topic / Hashtag", y="Tweet Volume", every=5, overlay_point=True, width=500, height=500)
+            gr.ScatterPlot(get_data, y="Tweet Volume", x="Trending Topic / Hashtag",  every=5,  width=500, height=500)
+demo.queue().launch()  # Run the demo with queuing enabled