Update app.py

app.py

@@ -60,6 +60,24 @@ with gr.Blocks() as demo:
     clear = gr.Button("Clear")
     state = gr.State([])
 
+    def parse_participants(input_string):
+        # Split the input string into lines
+        lines = input_string.split('<br>')
+    
+        # Create an empty list to store participant details
+        participants = []
+    
+        # Iterate through the lines to find participant details
+        for i, line in enumerate(lines):
+            if line.startswith('Participant'):
+                # If the line starts with 'Participant', extract the details of that participant
+                details = lines[i+1].strip()
+                if details:
+                    # If the details are not empty, add them to the participants list
+                    participants.append(details)
+    
+        return participants
+    
     def generateprofiles(title, question1, question2, question3, focusgroupdescription):
         prompt = f"""
 Please generate 10 profiles for a focus group that would have the following features:
@@ -125,7 +143,10 @@ Now please provide your results.
 """
         formattedprompt = [{'role':'system','content':system_message},{'role':'user','content':prompt}]
         result = answer(formattedprompt)
-        return result
+
+        #break it down
+        list = parse_participants(result)
+        return list[0], list[1], list[2], list[3], list[4], list[5], list[6], list[7]], list[8], list[9]
 
     def answer(formmatedprompt):
         response = openai.ChatCompletion.create(
@@ -146,7 +167,7 @@ Now please provide your results.
             print(f"User input:{chatbot[i][0]}")
             print(f"Bot output:{chatbot[i][1]}")
     
-    generategroup.click(generateprofiles, [title, question1, question2, question3, focusgroupdescription], expert1)
+    generategroup.click(generateprofiles, [title, question1, question2, question3, focusgroupdescription], [expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10])
     #clear.click(lambda: None, None, chatbot, queue=False).success(init_history, [state], [state])
 
 demo.launch()