Update abc.txt
Browse files
abc.txt
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@@ -1,7 +1,8 @@
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import streamlit as st
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import openai
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import os
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# Load the OpenAI API Key
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api_key = st.text_input('Enter your OpenAI API Key', type="password")
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@@ -70,6 +71,29 @@ def classic_mbti_weighted(responses):
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mbti_type += trait2
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return mbti_type
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# Streamlit component to display the quiz and handle responses
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def show_mbti_quiz():
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st.title('FlexTemp Personality Test')
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@@ -115,15 +139,54 @@ def show_mbti_quiz():
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st.write(f"Your MBTI type according to AI: {mbti_type_llm}")
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except Exception as e:
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st.error(f"Error occurred: {e}")
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else:
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st.warning("Please answer all the questions!")
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# Main function to display the app
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def main():
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if api_key:
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show_mbti_quiz()
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else:
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st.info("Please enter your OpenAI API Key to begin the quiz.")
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if __name__ == "__main__":
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main()
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import streamlit as st
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import openai
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import json
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import os
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from dotenv import load_dotenv
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# Load the OpenAI API Key
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api_key = st.text_input('Enter your OpenAI API Key', type="password")
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mbti_type += trait2
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return mbti_type
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# Function to save responses to a JSON file
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def save_responses_to_json(username, responses):
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user_data = {
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"username": username,
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"responses": [{"text": question["text"], "answer": response} for question, response in zip(questions, responses)]
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}
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# Save to UserChoices.json
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with open("UserChoices.json", "w") as json_file:
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json.dump(user_data, json_file, indent=4)
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# Function to save personality results to Output.json
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def save_personality_to_output_json(username, mbti_type_classic, mbti_type_llm):
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output_data = {
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"username": username,
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"mbti_type_classic": mbti_type_classic,
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"mbti_type_llm": mbti_type_llm
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}
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# Save to Output.json
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with open("Output.json", "w") as json_file:
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json.dump(output_data, json_file, indent=4)
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# Streamlit component to display the quiz and handle responses
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def show_mbti_quiz():
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st.title('FlexTemp Personality Test')
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st.write(f"Your MBTI type according to AI: {mbti_type_llm}")
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except Exception as e:
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st.error(f"Error occurred: {e}")
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# Save responses and personality info to Output.json
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save_responses_to_json(participant_name, responses)
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save_personality_to_output_json(participant_name, mbti_type_classic, mbti_type_llm)
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with open("Output.json", "r") as json_file:
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json_data = json_file.read()
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st.download_button(
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label="Download Output.json",
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data=json_data,
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file_name="Output.json",
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mime="application/json"
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)
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with open("UserChoices.json", "r") as json_file:
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json_data = json_file.read()
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st.download_button(
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label="Download UserChoices.json",
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data=json_data,
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file_name="UserChoices.json",
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mime="application/json"
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)
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else:
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st.warning("Please answer all the questions!")
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# Main function to display the app
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def main():
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# Add instructions to the sidebar
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with st.sidebar.expander("How This App Works", expanded=False):
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st.write("""
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### FlexTemp Personality Test
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This app is designed to help you determine your MBTI personality type based on your answers to a series of questions. The process works as follows:
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1. **Weighted MBTI Scoring**:
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- Each question corresponds to a trait in the MBTI system.
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- Your responses are scored on a scale from "Strongly Agree" to "Strongly Disagree", with each level being assigned a weight.
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- These weights are used to calculate your MBTI type by comparing the scores of trait pairs (E/I, S/N, T/F, J/P).
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2. **LLM-Based Prediction**:
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- Optionally, you can also get your MBTI type based on the answers using a language model (LLM) like GPT-4. This provides an additional prediction that may offer insights into your personality.
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- The LLM is trained on vast amounts of data and can generate responses based on patterns from psychological research and real-world interactions.
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""")
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if api_key:
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show_mbti_quiz()
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else:
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st.info("Please enter your OpenAI API Key to begin the quiz.")
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if __name__ == "__main__":
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main()
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