Update app.py

app.py

@@ -48,6 +48,7 @@ with gr.Blocks() as demo:
             generateresults = gr.Button("Generate focus group answers")
         with gr.Row():
             gr.Markdown("Responses from the focus group participants")
+        with gr.Row():
             response1 = gr.Textbox(label="Response 1", lines=10)
             response2 = gr.Textbox(label="Response 2", lines=10)
             response3 = gr.Textbox(label="Response 3", lines=10)
@@ -82,6 +83,78 @@ with gr.Blocks() as demo:
     
         return participant_details
 
+    def summarize(title, question1, question2, question3, expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10, response1, response2, response3, response4, response5, response6, response7, response8, response9, response10):
+        prompt = f"""
+You are asked to make a report summarizing the inputs from 10 participants from a focus groups on this topic:
+{title}
+
+The questions asked were:
+Question 1: {question1}
+Question 2: {question2}
+Question 3: {question3}
+
+The profiles and their answers are:
+Profile 1:
+{expert1}
+His answers were:
+{response1}
+
+Profile 2:
+{expert2}
+His answers were:
+{response2}
+
+Profile 3:
+{expert3}
+His answers were:
+{response3}
+
+Profile 4:
+{expert4}
+His answers were:
+{response4}
+
+Profile 5:
+{expert5}
+His answers were:
+{response5}
+
+Profile 6:
+{expert6}
+His answers were:
+{response6}
+
+Profile 7:
+{expert7}
+His answers were:
+{response7}
+
+Profile 8:
+{expert8}
+His answers were:
+{response8}
+
+Profile 9:
+{expert9}
+His answers were:
+{response9}
+
+Profile 10:
+{expert10}
+His answers were:
+{response10}
+
+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.
+
+Now please provide your summary.
+"""
+        formattedprompt = [{'role':'system','content':system_message},{'role':'user','content':prompt}]
+        result = answer(formattedprompt)
+    
     def generateanswers(title, question1, question2, question3, expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10):
         personalities = [expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10]
         results = []
@@ -100,7 +173,8 @@ Question 3: {question3}
 Follow these rules:
 - Repeat the question first starting with "Question 1: ... then provide the answer at the line
 - Answer as the personality specified would, don't give answers that would not match this persona
-- Answer in minimum 3 sentences and maximum 10 sentences
+- Answer in minimum 5 sentences and maximum 10 sentences
+- Don't be too moralizing (environment safety, social impact...)
 - Use the style and vernacular language or the age and location  (in English though)
 
 Here is 1 example of answers for inspiration for a focus group on outdoor activities in Hong Kong Lantau island from a profile who is Age: 19, Gender: Male, Location: Hong Kong, Occupation: University Student
@@ -214,6 +288,7 @@ Now please provide your results.
     
     generategroup.click(generateprofiles, [title, question1, question2, question3, focusgroupdescription], [expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10])
     generateresults.click(generateanswers, [title, question1, question2, question3, expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10], [response1, response2, response3, response4, response5, response6, response7, response8, response9, response10])
+    generatesummary.click(summarize, [title, question1, question2, question3, expert1, expert2, expert3, expert4, expert5, expert6, expert7, expert8, expert9, expert10, response1, response2, response3, response4, response5, response6, response7, response8, response9, response10], summary)
     #clear.click(lambda: None, None, chatbot, queue=False).success(init_history, [state], [state])
 
 demo.launch()