Spaces:
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Deploy Attachment Style Roleplay Simulator with updated requirements
Browse files- requirements.txt +3 -3
- src/streamlit_app.py +132 -0
requirements.txt
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streamlit==1.31.1
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anthropic==0.18.1
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python-dotenv==1.1.0
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src/streamlit_app.py
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import os
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import streamlit as st
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from anthropic import Anthropic
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Configure page
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st.set_page_config(
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page_title="Attachment Style Roleplay Simulator",
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page_icon="🗣️",
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layout="wide"
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)
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# Initialize Anthropic client
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anthropic = Anthropic(api_key=os.getenv('ANTHROPIC_API_KEY'))
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# Initialize session state variables
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if 'messages' not in st.session_state:
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st.session_state.messages = []
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if 'setup_complete' not in st.session_state:
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st.session_state.setup_complete = False
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if 'system_message' not in st.session_state:
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st.session_state.system_message = ""
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# Main page header
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st.title("Attachment Style Roleplay Simulator")
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st.markdown("""
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Welcome to the Attachment Style Roleplay Simulator! This tool helps you practice difficult conversations
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by simulating realistic relational dynamics based on your attachment style. You can explore how different
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approaches and communication styles might work in challenging situations.
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""")
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# Sidebar welcome and introduction
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with st.sidebar:
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st.header("Welcome!")
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st.markdown("""
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Created by [Jocelyn Skillman LMHC](http://www.jocelynskillman.com), this tool is designed to help you
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practice and understand relational dynamics through the lens of attachment theory.
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To learn more about attachment theory and therapeutic approaches, check out my newsletter:
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[@jocelynskillmanlmhc](https://jocelynskillmanlmhc.substack.com/)
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""")
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# Simulation setup form
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with st.form("setup_form"):
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st.subheader("Set Up Your Simulation")
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attachment_style = st.selectbox(
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"Select your attachment style:",
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["Secure", "Anxious", "Avoidant", "Disorganized"]
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)
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scenario = st.text_area(
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"Describe the scenario you'd like to practice:",
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placeholder="Example: Having a difficult conversation with my partner about feeling disconnected"
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)
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tone = st.text_input(
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"How would you like the AI to respond?",
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placeholder="Example: Direct but understanding"
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)
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goals = st.text_area(
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"What are your practice goals?",
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placeholder="Example: Practice expressing needs without becoming defensive"
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)
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submitted = st.form_submit_button("Start Simulation")
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if submitted:
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# Prepare system message with simulation parameters
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st.session_state.system_message = f"""
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You are a conversational partner helping someone practice difficult conversations.
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The user has a {attachment_style} attachment style and wants to practice: {scenario}
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Respond in a {tone} manner. Help them achieve their goals: {goals}
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Maintain a realistic conversation while providing gentle guidance when needed.
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"""
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# Reset message history
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st.session_state.messages = []
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st.session_state.setup_complete = True
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st.rerun()
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# Display status or chat interface
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if not st.session_state.setup_complete:
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st.info("Please complete the simulation setup in the sidebar to begin.")
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else:
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# Display chat history
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Chat input
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if prompt := st.chat_input("Type your message here..."):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Display user message
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with st.chat_message("user"):
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st.markdown(prompt)
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# Get AI response
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with st.chat_message("assistant"):
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with st.spinner("Thinking..."):
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messages = [
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{"role": "system", "content": st.session_state.system_message}
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] + st.session_state.messages
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response = anthropic.messages.create(
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model="claude-3-opus-20240229",
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max_tokens=1000,
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messages=messages
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)
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ai_response = response.content[0].text
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st.markdown(ai_response)
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# Add AI response to chat history
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st.session_state.messages.append(
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{"role": "assistant", "content": ai_response}
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)
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# Footer
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st.markdown("---")
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st.markdown(
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"Created by [Jocelyn Skillman LMHC](http://www.jocelynskillman.com) | "
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"Learn more: [@jocelynskillmanlmhc](https://jocelynskillmanlmhc.substack.com/)"
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)
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