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import streamlit as st |
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import os |
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import json |
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from openai import AzureOpenAI |
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from model import invoke, create_models, configure_settings, load_documents_and_create_index, \ |
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create_chat_prompt_template, execute_query |
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meta_eip_prefix = """# META: Entrepreneurial and Intrapreneurial Potential\nMETA evaluates five traits essential for |
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entrepreneurial success: Vision, Ideation, Opportunism, Drive, and Resilience. It also measures four ‘Red |
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Flags’ or derailers common to the entrepreneurial personality.""" |
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client = AzureOpenAI(azure_endpoint="https://personalityanalysisfinetuning.openai.azure.com/", api_key=os.environ.get("AZURE_OPENAI_KEY"), api_version="2024-02-01") |
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example_profile = { |
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"Team": [ |
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{"name": "JAMES ARTHUR", "main_profile": {"VISION": {"score": 76}, "IDEATION": {"score": 73}, "OPPORTUNISM": {"score": 78}, "DRIVE": {"score": 80}, "RESILIENCE": {"score": 75}}, |
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"red_flag": {"HUBRIS": {"score": 80}, "MERCURIAL": {"score": 28}, "DOMINANT": {"score": 70}, "MACHIAVELLIAN": {"score": 50}}}, |
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{"name": "LOUSIE HART", "main_profile": {"VISION": {"score": 55}, "IDEATION": {"score": 60}, "OPPORTUNISM": {"score": 65}, "DRIVE": {"score": 70}, "RESILIENCE": {"score": 72}}, |
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"red_flag": {"HUBRIS": {"score": 55}, "MERCURIAL": {"score": 25}, "DOMINANT": {"score": 67}, "MACHIAVELLIAN": {"score": 30}}}, |
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{"name": "SIMONE LEVY", "main_profile": {"VISION": {"score": 30}, "IDEATION": {"score": 45}, "OPPORTUNISM": {"score": 20}, "DRIVE": {"score": 50}, "RESILIENCE": {"score": 32}}, |
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"red_flag": {"HUBRIS": {"score": 20}, "MERCURIAL": {"score": 15}, "DOMINANT": {"score": 18}, "MACHIAVELLIAN": {"score": 25}}}, |
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{"name": "Uri Lef", "main_profile": {"VISION": {"score": 70}, "IDEATION": {"score": 68}, "OPPORTUNISM": {"score": 73}, "DRIVE": {"score": 65}, "RESILIENCE": {"score": 30}}, |
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"red_flag": {"HUBRIS": {"score": 55}, "MERCURIAL": {"score": 72}, "DOMINANT": {"score": 68}, "MACHIAVELLIAN": {"score": 50}}} |
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] |
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} |
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def verify_credentials(): |
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if st.session_state['username'] == os.getenv("username_app") and st.session_state['password'] == os.getenv("password_app"): |
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st.session_state['authenticated'] = True |
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else: |
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st.error("Invalid username or password") |
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def login_page(): |
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st.title("Welcome to Metaprofiling's Career Insight Analyzer Demo") |
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st.write("This application provides in-depth analysis and insights into professional profiles. Please log in to continue.") |
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st.markdown(""" |
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## How to Use This Application |
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- Enter your username and password in the sidebar. |
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- Click on 'Login' to access the application. |
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- Once logged in, you will be able to upload and analyze professional profiles. |
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""") |
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st.sidebar.write("Login:") |
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username = st.sidebar.text_input("Username") |
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password = st.sidebar.text_input("Password", type="password") |
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st.session_state['username'] = username |
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st.session_state['password'] = password |
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st.sidebar.button("Login", on_click=verify_credentials) |
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def generate_prompt_from_profile(profile, selected_members, version="TeamSummary"): |
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with open('prompts.json') as f: |
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prompt_sets = json.load(f)['Prompts'] |
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prompt_templates = prompt_sets[version] |
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try: |
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team_member_profiles = [] |
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for member in profile['Team']: |
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if member['name'] in selected_members: |
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profile_str = (f"{member['name']}: Main Profile - VISION: {member['main_profile']['VISION']['score']}, " |
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f"IDEATION: {member['main_profile']['IDEATION']['score']}, " |
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f"OPPORTUNISM: {member['main_profile']['OPPORTUNISM']['score']}, " |
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f"DRIVE: {member['main_profile']['DRIVE']['score']}, " |
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f"RESILIENCE: {member['main_profile']['RESILIENCE']['score']}. " |
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f"Red Flags - HUBRIS: {member['red_flag']['HUBRIS']['score']}, " |
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f"MERCURIAL: {member['red_flag']['MERCURIAL']['score']}, " |
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f"DOMINANT: {member['red_flag']['DOMINANT']['score']}, " |
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f"MACHIAVELLIAN: {member['red_flag']['MACHIAVELLIAN']['score']}.") |
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team_member_profiles.append(profile_str) |
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team_member_profiles_str = "\n".join(team_member_profiles) |
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prompt = "\n".join(prompt_templates).replace("{{TEAM_MEMBERS}}", team_member_profiles_str) |
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print(prompt) |
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except KeyError as e: |
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return [{"role": "system", "content": f"Error processing profile data: missing {str(e)}"}] |
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message = [ |
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{"role": "system", "content": prompt_sets["System"][0]}, |
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{"role": "user", "content": prompt} |
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] |
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return message |
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def display_profile_info(profile): |
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st.markdown("### Profile Information:") |
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team_members = profile["Team"] |
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for member in team_members: |
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st.sidebar.markdown(f"#### {member['name']}") |
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main_profile = member["main_profile"] |
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red_flag = member["red_flag"] |
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st.sidebar.markdown("### Main Profile:") |
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st.sidebar.markdown("\n".join([f"- **{attribute}**: {details['score']}" for attribute, details in main_profile.items()])) |
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st.sidebar.markdown("### Red Flags:") |
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st.sidebar.markdown("\n".join([f"- **{attribute}**: {details['score']}" for attribute, details in red_flag.items()])) |
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def logout(): |
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st.session_state['authenticated'] = False |
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st.session_state['profile'] = None |
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st.session_state['show_chat'] = None |
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st.session_state['analysis'] = None |
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st.rerun() |
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def main_app(): |
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sidebar_components() |
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if st.button('Logout'): |
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logout() |
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st.title("Metaprofiling's Career Insight Analyzer Demo") |
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if st.session_state['profile']: |
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profile = st.session_state['profile'] |
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display_profile_info(profile) |
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st.markdown(""" |
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### Generation Temperature |
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Adjust the 'Generation Temperature' to control the creativity of the AI responses. |
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- A *lower temperature* (closer to 0.0) generates more predictable, conservative responses. |
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- A *higher temperature* (closer to 1.0) generates more creative, diverse responses. |
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""") |
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st.session_state['temperature'] = st.slider("", min_value=0.0, max_value=1.0, value=0.5, step=0.01) |
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st.session_state['version'] = st.selectbox("Select Prompt Version", ["METAEIP","TDOS"]) |
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team_member_names = [member['name'] for member in profile['Team']] |
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if st.session_state['version'] == "METAEIP": |
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selected_members = st.selectbox("Select Team Member to Include in the Analysis", team_member_names) |
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selected_members = [selected_members] |
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else: |
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selected_members = st.multiselect("Select Team Members to Include in the Analysis", team_member_names, |
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default=team_member_names) |
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if st.button(f'Analyze Profile ({st.session_state["version"]})'): |
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prompt = generate_prompt_from_profile(profile, selected_members, version=st.session_state['version']) |
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with st.chat_message("assistant"): |
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stream = client.chat.completions.create( |
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model="personality_gpt4o", |
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temperature=st.session_state['temperature'], |
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max_tokens=3000, |
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frequency_penalty=0.2, |
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presence_penalty=0.2, |
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messages=prompt, |
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stream=True |
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) |
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if st.session_state['version'] == "METAEIP": |
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st.write(meta_eip_prefix) |
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response = st.write_stream(stream) |
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st.session_state['analysis'] = response |
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st.session_state['show_chat'] = True |
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st.rerun() |
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if st.session_state['analysis']: |
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st.write(meta_eip_prefix) |
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st.markdown(st.session_state['analysis']) |
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else: |
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st.write("Please upload a profile JSON file or use the example profile.") |
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def sidebar_components(): |
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with st.sidebar: |
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if st.button('Reset'): |
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st.session_state['profile'] = None |
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st.session_state['show_chat'] = None |
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st.session_state['analysis'] = None |
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st.rerun() |
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if not st.session_state['show_chat']: |
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st.markdown("### JSON File Requirements:") |
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st.markdown("1. Must contain Team as top-level keys.") |
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st.markdown("2. Both keys should have dictionary values.") |
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uploaded_file = st.file_uploader("", type=['json']) |
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if uploaded_file is not None: |
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try: |
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profile_data = json.load(uploaded_file) |
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st.session_state['profile'] = profile_data |
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except json.JSONDecodeError: |
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st.error("Invalid JSON file. Please upload a valid JSON file.") |
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if st.button('Use Example Profile'): |
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st.session_state['profile'] = example_profile |
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else: |
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st.sidebar.title("Chat with Our Career Advisor") |
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st.sidebar.markdown("Hello, we hope you learned something about yourself in this report. This chat is here so you can ask any questions you have about your report! It’s also a great tool to get ideas about how you can use the information in your report for your personal development and achieving your current goals.") |
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question_templates = [ |
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"What are the main risks associated with {}’s profile?", |
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"What are the implications of {}’s profile for working with others?", |
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"What conclusions might we draw from his profile about {}’s style of leadership?", |
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"Looking specifically at {}'s Red Flags, are there any particular areas of concern?", |
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"Based on this profile, is {} better suited as a COO or a CEO?", |
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"If speed of execution is important, based on his profile, how likely is {} to be able to achieve this?", |
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"How is {} likely to react to business uncertainty and disruption?", |
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"Based on his profile, what should a coaching plan designed for {} focus on?" |
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] |
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questions_list = [question.format("Test Taker") for question in question_templates] |
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questions_markdown = "\n\n".join([f"Q{index + 1}: {question}" for index, question in enumerate(questions_list)]) |
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st.sidebar.markdown("### Suggest Questions") |
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st.sidebar.markdown(questions_markdown) |
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user_input = st.sidebar.text_input("Ask a question about the profile analysis:") |
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llm, embed_model = create_models() |
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configure_settings(llm, embed_model) |
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index = load_documents_and_create_index() |
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if st.sidebar.button('Submit'): |
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if user_input: |
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chat_prompt_template = create_chat_prompt_template(st.session_state['analysis']) |
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response = execute_query(index, chat_prompt_template, user_input) |
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st.sidebar.markdown(response) |
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if 'show_chat' not in st.session_state: |
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st.session_state['show_chat'] = None |
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if 'profile' not in st.session_state: |
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st.session_state['profile'] = None |
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if 'analysis' not in st.session_state: |
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st.session_state['analysis'] = None |
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if 'temperature' not in st.session_state: |
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st.session_state['temperature'] = 0 |
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if 'version' not in st.session_state: |
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st.session_state['version'] = "" |
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if 'username' not in st.session_state: |
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st.session_state['username'] = '' |
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if 'password' not in st.session_state: |
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st.session_state['password'] = '' |
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if 'authenticated' not in st.session_state: |
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st.session_state['authenticated'] = False |
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if st.session_state['authenticated']: |
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main_app() |
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else: |
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login_page() |
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