Update app.py

app.py

@@ -281,7 +281,7 @@ def compress_data_og(c, instruct, history):
 
 
 
-def summarize(inp,history,report_check,sum_mem_check,data=None,files=None,url=None,pdf_url=None,pdf_batch=None):
+def summarize(inp,history,report_check,sum_check,mem_check,data=None,files=None,url=None,pdf_url=None,pdf_batch=None):
     json_box=[]
     if inp == "":
         inp = "Process this data"
@@ -341,10 +341,10 @@ def summarize(inp,history,report_check,sum_mem_check,data=None,files=None,url=No
             if i == " " or i=="," or i=="\n":
                 c +=1
         print (f'c:: {c}')
-        if sum_mem_check=="Memory":
+        if mem_check:
             json_out = save_memory(inp,out)
             rawp = "Complete"
-        if sum_mem_check=="Summarize":
+        if sum_check:
             json_out = compress_data(c,inp,out)  
     
             out = str(json_out)
@@ -585,7 +585,9 @@ with gr.Blocks() as app:
             prompt=gr.Textbox(label = "Instructions (optional)")
         with gr.Column(scale=1):
             report_check=gr.Checkbox(label="Return Report", value=True)
-            sum_mem_check=gr.Radio(label="Output",choices=["Summary","Memory"])
+            sum_check=gr.Checkbox(label="Summarize", value=True)
+            mem_check=gr.Checkbox(label="Memory", value=True)
+            #sum_mem_check=gr.Radio(label="Output",choices=["Summary","Memory"])
             button=gr.Button()
         
         #models_dd=gr.Dropdown(choices=[m for m in return_list],interactive=True)
@@ -608,6 +610,6 @@ with gr.Blocks() as app:
     #text=gr.JSON()
     #inp_query.change(search_models,inp_query,models_dd)
     clear_btn.click(clear_fn,None,[prompt,chatbot])
-    go=button.click(summarize,[prompt,chatbot,report_check,sum_mem_check,data,file,url,pdf_url,pdf_batch],[prompt,chatbot,e_box,json_out])
+    go=button.click(summarize,[prompt,chatbot,report_check,sum_check,mem_check,data,file,url,pdf_url,pdf_batch],[prompt,chatbot,e_box,json_out]).then()
     stop_button.click(None,None,None,cancels=[go])
 app.queue(default_concurrency_limit=20).launch(show_api=False)