Update app.py

app.py

@@ -13,6 +13,12 @@ from tensorflow.keras.layers import LSTM
 import yfinance as yf
 from statsmodels.tsa.seasonal import seasonal_decompose
 
+on_load="""
+async()=>{
+    console.log("HELLO");
+}
+"""
+
 def get_ans(inp):
   plt.close()
   tickers = yf.Tickers(inp)
@@ -166,10 +172,6 @@ def get_info(inp):
   return long_info, curr_rat, quick_rat, short_rat, debt_eq, volume, market_cap, curr_price, rev_per
 
 with gr.Blocks() as demo:
-
-  demo.load(get_ans, inputs="GOOG", outputs= [mp,mp1,mp2,mp3, Max_all, Min_all,Max_year, Min_year, Max_rec, Min_rec, Next_day, Next_plot, Next_plot_all, Next_plot_year], _js=on_load)
-  demo.load(get_info, inputs="GOOG", outputs=[info1, ratio1, ratio2, ratio3, ratio4, vol, mar_cap, curr_price, rev_per], _js=on_load)
-  demo.load(get_seo, inputs="GOOG", outputs=[trend_g, Seaso, resid], _js=on_load)
     
   with gr.Row().style(equal_height=True):
     with gr.Column():
@@ -178,7 +180,7 @@ with gr.Blocks() as demo:
       gr.Markdown("<center>To get the ticker of the company, click <a href = 'https://finance.yahoo.com/lookup/'>here.</a></center>")
   with gr.Row():
     with gr.Column():
-      Name_of_the_company = gr.Textbox(placeholder="GOOG", label="TICKER of the company")
+      Name_of_the_company = "GOOG"
       btn = gr.Button("ANALYSE")
       gr.Markdown("<center><h2>Analysis<h2></center>")
       gr.Markdown("<center><h3>Inportant Information</h3></center>")
@@ -230,6 +232,10 @@ with gr.Blocks() as demo:
       Next_plot_all = gr.LinePlot(visible=False)
       Next_plot_year = gr.LinePlot(visible=False)
         
+      demo.load(get_ans, Name_of_the_company=Name_of_the_company, outputs= [mp,mp1,mp2,mp3, Max_all, Min_all,Max_year, Min_year, Max_rec, Min_rec, Next_day, Next_plot, Next_plot_all, Next_plot_year], _js=on_load)
+      demo.load(get_info, inputs=Name_of_the_company, outputs=[info1, ratio1, ratio2, ratio3, ratio4, vol, mar_cap, curr_price, rev_per], _js=on_load)
+      demo.load(get_seo, inputs=Name_of_the_company, outputs=[trend_g, Seaso, resid], _js=on_load)
+  
       btn.click(get_ans, inputs=Name_of_the_company, outputs= [mp,mp1,mp2,mp3, Max_all, Min_all,Max_year, Min_year, Max_rec, Min_rec, Next_day, Next_plot, Next_plot_all, Next_plot_year])
       btn.click(get_info, inputs=Name_of_the_company, outputs=[info1, ratio1, ratio2, ratio3, ratio4, vol, mar_cap, curr_price, rev_per])
       btn.click(get_seo, inputs=Name_of_the_company, outputs=[trend_g, Seaso, resid])