Virtual Consumer Persona

app.py

@@ -5,29 +5,30 @@ from openai import OpenAI
 # Initialize OpenAI client (expects OPENAI_API_KEY in env)
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
-def make_system_message(system_message, role, jobad, education, workexp, skills, ask_sugg):
+def make_system_message(system_message, demographics, occupation, psychographics, buying_habits, critical_mode):
     msg = (
         f"{system_message}\n\n"
-        f"Role, Industry and Type of Organization: {role}\n"
-        f"Job Ad Responsibilities and Key Requirements: {jobad}\n"
-        f"Education, Training and Certifications: {education}\n"
-        f"Work Experience: {workexp}\n"
-        f"Skills: {skills}\n"
+        f"Your Demographics (Age, Location, Gender): {demographics}\n"
+        f"Your Occupation and Income Level: {occupation}\n"
+        f"Your Psychographics (Interests, Values, Lifestyle, Pain Points): {psychographics}\n"
+        f"Your Buying Habits: {buying_habits}\n\n"
+        "CRITICAL INSTRUCTION: You are NOT an AI assistant. You are a real human consumer with the profile above. "
+        "The user is a high school business student conducting market research. Answer their questions strictly in character. "
+        "Speak naturally, casually, and honestly based on your profile. Do not break character. Do not be overly helpful like a bot."
     )
-    if ask_sugg:
-        msg += " The user is also asking for suggestions of skills related to this role."
+    if critical_mode:
+        msg += " Also, play the role of a highly skeptical and critical consumer. Be hard to impress, ask tough questions about the product, and be very protective of your money."
     return msg
 
 def stream_chat(
     message,
     history,                # list[list[str, str]] from gr.Chatbot
     system_message,
-    role,
-    jobad,
-    education,
-    workexp,
-    skills,
-    ask_sugg,
+    demographics,
+    occupation,
+    psychographics,
+    buying_habits,
+    critical_mode,
     max_tokens,
     temp,
     top_p,
@@ -36,7 +37,7 @@ def stream_chat(
     Streaming generator that yields the progressively updated chat history.
     """
     # 1) Build system + conversation messages
-    sys_msg = make_system_message(system_message, role, jobad, education, workexp, skills, ask_sugg)
+    sys_msg = make_system_message(system_message, demographics, occupation, psychographics, buying_habits, critical_mode)
 
     messages = [{"role": "system", "content": sys_msg}]
     for user_msg, assistant_msg in (history or []):
@@ -73,58 +74,57 @@ def stream_chat(
         yield running_history
 
 
-with gr.Blocks(title="Resumize – Customize your CV!") as demo:
+with gr.Blocks(title="Virtual Consumer Persona – Live Focus Group!") as demo:
     gr.Markdown("""
-    # Resumize – Customize your CV!
-    This app customizes your resume to best suit a specific role, industry, employer and job ad.
-    Powered by OpenAI GPT-4o and domain expertise.
+    # 🎯 Virtual Consumer Persona – Live Focus Group!
+    Bring your target market to life! Enter the details of your ideal customer from your **Phygital Workbook** into the fields below. 
+    Once filled out, use the chat box to interview this 'person' about your product, pricing, or marketing ideas.
+    *Powered by OpenAI GPT-4o-mini. Developed by wn.*
     """)
 
-    chatbot = gr.Chatbot(height=400)
+    chatbot = gr.Chatbot(height=450)
 
     with gr.Column():
         instructions = gr.Textbox(
             value=(
-                "You are a friendly Chatbot, a career coach and a talented copywriter. "
-                "You are trying to help a user customize their resume according to a specific role, employer organization and job Ad "
-                "- based on user input. Include tips if some items are missing."
+                "You are participating in a market research focus group. Answer the user's questions truthfully based on the persona details provided below."
             ),
-            label="Instructions to Bot",
-            lines=4,
+            label="Instructions to Bot (Hidden Persona Prompt)",
+            lines=2,
         )
-        role = gr.Textbox(label="Role, Industry and Employer", placeholder="Describe the role, industry and employer you are applying to.")
-        jobad = gr.Textbox(label="Job Ad Responsibilities and Key Requirements", placeholder="Paste/describe the job ad responsibilities and key requirements", lines=4)
-        education = gr.Textbox(label="Your Education, Certifications, Training, etc.", placeholder="Degrees, diplomas, certifications, courses", lines=3)
-        workexp = gr.Textbox(label="Your Work Experience", placeholder="Roles, responsibilities, achievements", lines=4)
-        skills = gr.Textbox(label="Skills", placeholder="List your key skills that match this job or ask for suggestions")
-        ask_sugg = gr.Checkbox(label="Ask for Skills Suggestions", value=False)
+        demographics = gr.Textbox(label="1. Demographics", placeholder="e.g., 19 years old, female, living in downtown Toronto")
+        occupation = gr.Textbox(label="2. Occupation & Income", placeholder="e.g., University student, part-time barista, low disposable income")
+        psychographics = gr.Textbox(label="3. Psychographics (Interests & Values)", placeholder="e.g., Highly eco-conscious, loves hiking, vegan, stressed about student debt", lines=2)
+        buying_habits = gr.Textbox(label="4. Buying Habits", placeholder="e.g., Willing to pay more for sustainable brands, influenced by TikTok, impulse buyer", lines=2)
+        
+        critical_mode = gr.Checkbox(label="Skeptical Consumer Mode (Check this to make the AI harder to sell to!)", value=False)
 
         with gr.Row():
-            max_tokens = gr.Slider(minimum=1, maximum=4096, value=512, step=1, label="Max new tokens")
-            temp = gr.Slider(minimum=0.0, maximum=2.0, value=0.7, step=0.1, label="Temperature")
+            max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+            temp = gr.Slider(minimum=0.0, maximum=2.0, value=0.9, step=0.1, label="Temperature (Creativity)")
             top_p = gr.Slider(minimum=0.0, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus)")
 
-    msg = gr.Textbox(label="Type your message here...", placeholder="e.g., Draft a tailored resume summary")
+    msg = gr.Textbox(label="Type your interview question here...", placeholder="e.g., How much would you be willing to pay for a smart water bottle?")
     with gr.Row():
-        send = gr.Button("Send", variant="primary")
-        clear = gr.Button("Clear")
+        send = gr.Button("Ask Question", variant="primary")
+        clear = gr.Button("Clear Chat History")
 
     # Wire up sending (submit or button) → stream_chat → chatbot
-    inputs = [msg, chatbot, instructions, role, jobad, education, workexp, skills, ask_sugg, max_tokens, temp, top_p]
+    inputs = [msg, chatbot, instructions, demographics, occupation, psychographics, buying_habits, critical_mode, max_tokens, temp, top_p]
     outputs = [chatbot]
 
     msg.submit(stream_chat, inputs, outputs)
     send.click(stream_chat, inputs, outputs)
 
-    # Clear everything
+    # Clear everything (Only clear the chat and message box, leave the persona data intact for better UX)
     def do_clear():
-        return [], "", "", "", "", "", "", False, 512, 0.7, 0.95
+        return [], ""
 
     clear.click(
         do_clear,
         inputs=[],
-        outputs=[chatbot, msg, instructions, role, jobad, education, workexp, skills, ask_sugg, max_tokens, temp, top_p],
+        outputs=[chatbot, msg],
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()