Update app.py

app.py

@@ -24,16 +24,16 @@ def getstuff(openapikey,category_selector):
 
     if whichone=="Automotive":
         rssurl="https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=10000101"
-        querylist=["What are the top trends? Give output as a json (that can be converted to pandas dataframe) with 3 columns named trend, company mentioned & reason","Write an email summarizing the news. Do not say I am language model and cannot do this"]
+        querylist=["What are the top trends? Give output as a json (that can be converted to pandas dataframe) with 3 columns named trend, company mentioned & reason","You are an award winning email writer. Write an email summarizing the news. Do not say I am language model and cannot do this","Name the top & bottom performing companies? Give output as a json (that can be converted to pandas dataframe) with 4 columns named sector, company names, reason & top/bottom","You are an award winning email writer. Write an email summarizing the key macro trends basis the news.Do not say I am language model and cannot do this"]
     elif whichone=="Retail":
         rssurl="https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=10000116"
-        querylist=["What are the top trends? Give output as a json (that can be converted to pandas dataframe) with 3 columns named trend, company mentioned & reason","Write an email summarizing the news. Do not say I am language model and cannot do this"]
+        querylist=["What are the top trends? Give output as a json (that can be converted to pandas dataframe) with 3 columns named trend, company mentioned & reason","You are an award winning email writer. Write an email summarizing the news. Do not say I am language model and cannot do this","Name the top & bottom performing companies? Give output as a json (that can be converted to pandas dataframe) with 4 columns named sector, company names, reason & top/bottom","You are an award winning email writer. Write an email summarizing the key macro trends basis the news.Do not say I am language model and cannot do this"]
     elif whichone=='Earnings Announcements':
         rssurl="https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=15839135"
-        querylist=["Basis companies that are doing well name the sectors with positive momentum? Give output as a json (that can be converted to pandas dataframe) with 3 columns named sector, company names & reason","Write an email summarizing the news. Do not say I am language model and cannot do this"]
+        querylist=["Basis companies that are doing well name the sectors with positive momentum? Give output as a json (that can be converted to pandas dataframe) with 3 columns named sector, company names & reason","Name the top & bottom performing companies? Give output as a json (that can be converted to pandas dataframe) with 4 columns named sector, company names, reason & top/bottom","You are an award winning email writer. Write an email summarizing the news. Do not say I am language model and cannot do this","You are an award winning email writer. Write an email summarizing the key macro trends basis the news.Do not say I am language model and cannot do this"]
     else:
         rssurl="https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=15839135" ###should not come here but using earnings url
-        querylist=["Basis companies that are doing well name the sectors with positive momentum? Give output as a json (that can be converted to pandas dataframe) with 3 columns named sector, company names & reason","Write an email summarizing the news. Do not say I am language model and cannot do this"]
+        querylist=["Basis companies that are doing well name the sectors with positive momentum? Give output as a json (that can be converted to pandas dataframe) with 3 columns named sector, company names & reason","Name the top & bottom performing companies? Give output as a json (that can be converted to pandas dataframe) with 4 columns named sector, company names, reason & top/bottom","You are an award winning email writer. Write an email summarizing the news. Do not say I am language model and cannot do this","You are an award winning email writer. Write an email summarizing the key macro trends basis the news.Do not say I am language model and cannot do this"]
     
     documents = reader.load_data([rssurl])
     index = GPTSimpleVectorIndex(documents)
@@ -71,21 +71,29 @@ with gr.Blocks() as demo:
         with gr.Column():
             textboxopenapi = gr.Textbox(placeholder="Enter OpenAPI Key...", lines=1,label='OpenAPI Key')
             category_selector=gr.Dropdown(
-                listofcategories, label="Sector", info="Select the snapshot you want..."
+                listofcategories, label="Options", info="Select the snapshot you want..."
                 )
         with gr.Column():
-            btn = gr.Button("Generate")
+            btn = gr.Button("Generate \nSnapshot")
         
     with gr.Row() as row:
         table1=gr.Dataframe(
             #headers=["Item", "Cost"],
-            datatype=["str", "str","str"],
+            #datatype=["str", "str","str"],
             label="Snapshot 1",
         )
     with gr.Row() as row:
-        outputtech = gr.Textbox(placeholder='', lines=4,label='Snapshot 2')
+        table2=gr.Dataframe(
+            #headers=["Item", "Cost"],
+            #datatype=["str", "str","str"],
+            label="Snapshot 2",
+        )
+    with gr.Row() as row:
+        output1 = gr.Textbox(placeholder='', lines=4,label='Snapshot 3')
+    with gr.Row() as row:
+        output2 = gr.Textbox(placeholder='', lines=4,label='Snapshot 4')
 
-    btn.click(getstuff, inputs=[textboxopenapi,category_selector],outputs=[table1,outputtech])
+    btn.click(getstuff, inputs=[textboxopenapi,category_selector],outputs=[table1,table2,output1,output2])
     
     
 demo.launch(debug=True)