Update app.py

dialog box now plain text, not markdown

app.py

@@ -26,7 +26,6 @@ import numpy as np
 # import matplotlib.pyplot as plt
 from pylatexenc.latex2text import LatexNodes2Text
 
-
 load_dotenv(override=True)
 key = os.getenv('OPENAI_API_KEY')
 users = os.getenv('LOGNAME')
@@ -76,12 +75,13 @@ def test_plot_df():
         }
     return pd.DataFrame(data)
 
+
 def md(txt):
-    if 'DOCTYPE' in txt:
-        return str(txt.replace('GPT','<br>GPT'))
-    else:
-        return str(txt).replace('```', ' ').replace('  ', '&nbsp;&nbsp;').replace('  ', '&nbsp;&nbsp;').replace('  ', '&nbsp;&nbsp;').replace('\n','<br>')
-#    return txt
+    # if 'DOCTYPE' in txt:
+    #     return str(txt.replace('GPT','<br>GPT'))
+    # else:
+    # return str(txt).replace('```', ' ').replace('  ', '&nbsp;&nbsp;').replace('  ', '&nbsp;&nbsp;').replace('  ', '&nbsp;&nbsp;').replace('\n','<br>')
+    return txt
 
 def etz_now():
     eastern = pytz.timezone('US/Eastern')
@@ -653,7 +653,7 @@ def chat(prompt, user_window, pwd_window, past, response, gptModel, uploaded_ima
                     # ymax = float(ymax)
                     return [past, md(response), None, gptModel, uploaded_image_file, # plot]
                            gr.LinePlot(plot_df, x="date", y="value", visible=True, x_label_angle=270,
-                                      y_lim=[500000, 700000], label="Portfolio Value History")]
+                                      y_lim=[400000, 700000], label="Portfolio Value History")]
             elif num >= 3:
                 if args[1] == 'news':
                     symbol = ' '.join(args[2:])
@@ -667,25 +667,6 @@ def chat(prompt, user_window, pwd_window, past, response, gptModel, uploaded_ima
                                     gr.LinePlot(plot_df, x="date", y="value", visible=True, x_label_angle=270,
                                                     y_lim=[0, ymax],label=f"{symbol.upper()} Recent Prices",
                                                     color_map={''})]
-                # elif arg[1] == 'history':
-                #     symbol = arg[2]
-                #     response = 'ok' # get_
-
-
-        # if prompt.startswith('stock values'):
-        #     response = get_stock_report()
-        #     if 'history' in prompt:
-        #         (plot_df, ymax) = stock_history_df(12)
-        #         ymax = float(ymax)
-        #         return [past, response, None, gptModel, uploaded_image_file,
-        #                gr.LinePlot(plot_df, x="date", y="value", visible=True,
-        #                           y_lim=[500000, 700000], label="Portfolio Value History")]
-        #     else:
-        #         return [past, response, None, gptModel, uploaded_image_file, plot]
-        # if prompt.startswith('stock news'):
-        #         symbol = prompt[11:]
-        #         response = get_stock_news(symbol)
-        #         return [past, response, None, gptModel, uploaded_image_file, plot]
         if prompt.startswith('stockload'):
             create_stock_data_file(prompt[9:].lstrip())
             return [past, 'Stock data file created', None, gptModel, uploaded_image_file, plot]
@@ -777,9 +758,9 @@ def chat(prompt, user_window, pwd_window, past, response, gptModel, uploaded_ima
             tokens_in = completion.usage.prompt_tokens
             tokens_out = completion.usage.completion_tokens
             tokens = completion.usage.total_tokens
-        response += md("\n\n***YOU***: " + prompt + "\n***GPT***: " + reply)
+        response += md("=================\nYOU:\n" + prompt + "\n=================\nGPT:\n" + reply)
         if isBoss:
-            response += md(f"\n{reporting_model}: tokens in/out = {tokens_in}/{tokens_out}")
+            response += md(f"\n{reporting_model}: tokens in/out = {tokens_in}/{tokens_out}\n")
         if tokens > 40000:
             response += "\n\nTHIS DIALOG IS GETTING TOO LONG. PLEASE RESTART CONVERSATION SOON."
         past.append({"role":"assistant", "content": final_text})
@@ -1184,8 +1165,9 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         speak_output = gr.Button(value="Speak Dialog", visible=True)
         submit_button = gr.Button(value="Submit Prompt/Question")
     prompt_window = gr.Textbox(label = "Prompt or Question")
-    gr.Markdown('### **Dialog:**')
-    output_window = gr.Markdown(container=True)
+    #gr.Markdown('### **Dialog:**')
+    output_window = gr.Text(container=True, label='Dialog')
+    # output_window = gr.Markdown(container=True)
     with gr.Row():
         with gr.Column():
             image_window2 = gr.Image(visible=False, interactive=True, label='Image to Analyze', type='filepath')