Update app.py

app.py

@@ -6,14 +6,18 @@ import os
 import re
 
 # Set up OpenAI API key
-openai.api_key = os.getenv('APICode2')
 system_message = "You are an assistant simulating the behavior of the participants in a focus group and answer a set of questions. Your first task will be to generate the profiles of the focus group then to simulate their answers to the question for each member."
 with gr.Blocks() as demo:
+    with gr.Row():
+        gr.Markdown("This application generates a focus group to answer your questions.\nFirst list your topic and questions, generate the focus group profile, get their answers and finally access the summary report")
+    with gr.Row():
+        apikey = gr.Textbox(label='Paste here your OpenAI - API key', info='No API key is stored and only you will see it.', lines = 1)
+        openai.api_key = os.getenv('APICode2') # openai.api_key = apikey
     with gr.Tab("Enquiry Description"):
         with gr.Row():
             gr.Markdown("Describe your project or study")
         with gr.Row():
-            title = gr.Textbox(label='Topic of our study', lines = 5)
+            title = gr.Textbox(label='Topic you would like to submit to your focus group', lines = 5)
         with gr.Row():
             gr.Markdown("List all your questions")
         with gr.Row():
@@ -22,7 +26,7 @@ with gr.Blocks() as demo:
             question2 = gr.Textbox(label="Question 2", lines=2)
         with gr.Row():
             question3 = gr.Textbox(label="Question 3", lines=2)
-    with gr.Tab("Focus Group Selection"):
+    with gr.Tab("Focus Group Profiles Generation"):
         with gr.Row():
             gr.Markdown("Describe types of profiles you want in your focus group")
         with gr.Row():
@@ -154,8 +158,8 @@ His answers were:
 Follow these rules:
 - Summarize the answers per question, start with 'Question 1:' and repeat the question then provide the summary below
 - Provide your summary per question, breaking down the nuance per demographic or profession or any social / profiling category you see fit
-- Keep only the key points in a rational and professional way
-- Provide a recommendation for action to address the needs expressed in the answers for each question.
+- Keep all the points raised by the participants with details, break them down in a rational and professional way
+- For each question, provide a recommendation for action to address the needs expressed in the answers for each question, start it with "Recommendation:" then add your prespecriptions on bullet points just asfter
 
 Now please provide your summary.
 """
@@ -336,7 +340,7 @@ Now please provide your results.
 
     def answer(formmatedprompt):
         response = openai.ChatCompletion.create(
-            model="gpt-4",
+            model="gpt-3.5-turbo-16k", #"gpt-4"
             messages=formmatedprompt
         )
         result = response['choices'][0]['message']['content']