Drew Skillman commited on
Commit
eb639f2
·
1 Parent(s): a6de0c8

point this spaces project to the correct app.py launcher

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Files changed (2) hide show
  1. README.md +1 -1
  2. src/app.py +0 -168
README.md CHANGED
@@ -5,7 +5,7 @@ colorFrom: purple
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  colorTo: pink
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  sdk: streamlit
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  sdk_version: 1.45.0
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- app_file: src/app.py
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  pinned: false
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  ---
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  colorTo: pink
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  sdk: streamlit
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  sdk_version: 1.45.0
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+ app_file: app.py
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  pinned: false
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  ---
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src/app.py DELETED
@@ -1,168 +0,0 @@
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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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-
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- # Load environment variables
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- load_dotenv()
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-
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- # Configure Streamlit page settings
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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="centered",
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- )
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-
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- # Initialize Anthropic client
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- anthropic = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY") or os.getenv("ANTHROPIC_KEY"))
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-
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- # Initialize session state for form inputs if not present
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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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-
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- if "messages" not in st.session_state:
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- st.session_state.messages = []
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-
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- # Main page header
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- st.markdown("<h1 style='text-align: center; color: #333;'>Attachment Style Roleplay Simulator</h1>", unsafe_allow_html=True)
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- st.markdown("<p style='text-align: center; font-size: 18px; color: #555; margin-bottom: 1em;'>A Safe Space for Practicing Difficult Conversations</p>", unsafe_allow_html=True)
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-
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- # Welcome text and instructions
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- if not st.session_state.setup_complete:
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- st.markdown("""
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- ## Practice Hard Conversations—Safely.
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-
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- Welcome to a therapeutic roleplay simulator built for emotionally charged moments.
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- This tool helps you rehearse boundary-setting and difficult conversations by simulating realistic relational dynamics—tailored to your attachment style.
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-
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- You'll choose:
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-
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- - A scenario (e.g., "Ask my mom not to comment on my body")
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- - A tone of response (e.g., supportive, guilt-tripping, dismissive)
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- - Your attachment style (e.g., anxious, avoidant, disorganized)
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- - And your goal (e.g., "I want to stay calm and not backtrack")
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-
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- The AI will take on the role of a realistic human responder—not to therapize you, but to mirror the relational pressure you might encounter in real life. Then, you'll get a reflection summary to help you track your emotional patterns and practice courage.
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-
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- ### 🧠 Not sure what your attachment style is?
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- You can take this [free quiz from Sarah Peyton](https://www.yourresonantself.com/attachment-assessment) to learn more.
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- Or you can just pick the one that vibes when you read it:
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-
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- - **Anxious** – "I often worry if I've upset people or said too much."
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- - **Avoidant** – "I'd rather handle things alone than depend on others."
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- - **Disorganized** – "I want closeness, but I also feel overwhelmed or mistrusting."
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- - **Secure** – "I can handle conflict and connection without losing myself."
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- """)
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-
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- # Sidebar with setup form
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- with st.sidebar:
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- st.markdown("""
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- ### Welcome! 👋
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-
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- Hi, I'm Jocelyn Skillman, LMHC — a clinical therapist, relational design ethicist, and creator of experimental tools that explore how AI can support (not replace) human care.
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-
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- Each tool in this collection is thoughtfully designed to:
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-
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- - Extend therapeutic support between sessions
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- - Model emotional safety and relational depth
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- - Help clients and clinicians rehearse courage, regulation, and repair
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- - Stay grounded in trauma-informed, developmentally sensitive frameworks
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-
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- I use Claude (by Anthropic) as the primary language model for these tools, chosen for its relational tone, contextual nuance, and responsiveness to emotionally complex prompts.
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-
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- As a practicing therapist, I imagine these resources being especially helpful to clinicians like myself — companions in the work of tending to others with insight, warmth, and care.
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-
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- #### Connect With Me
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- 🌐 [jocelynskillman.com](http://www.jocelynskillman.com)
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- 📬 [Substack: Relational Code](https://jocelynskillmanlmhc.substack.com/)
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-
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- ---
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- """)
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-
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- st.markdown("### 🎯 Simulation Setup")
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-
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- with st.form("simulation_setup"):
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- attachment_style = st.selectbox(
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- "Your Attachment Style",
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- ["Anxious", "Avoidant", "Disorganized", "Secure"],
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- help="Select your attachment style for this practice session"
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- )
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-
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- scenario = st.text_area(
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- "Scenario Description",
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- placeholder="Example: I want to tell my dad I can't call every night anymore.",
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- help="Describe the conversation you want to practice"
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- )
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-
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- tone = st.text_input(
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- "Desired Tone for AI Response",
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- placeholder="Example: guilt-tripping, dismissive, supportive",
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- help="How should the AI character respond?"
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- )
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-
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- practice_goal = st.text_area(
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- "Your Practice Goal",
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- placeholder="Example: staying grounded and not over-explaining",
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- help="What would you like to work on in this conversation?"
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- )
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-
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- submit_setup = st.form_submit_button("Start Simulation")
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-
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- if submit_setup and scenario and tone and practice_goal:
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- # Create system message with simulation parameters
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- system_message = f"""Attachment Style: {attachment_style}
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- Scenario: {scenario}
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- Tone: {tone}
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- Goal: {practice_goal}
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-
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- Remember to stay in character unless the client says 'pause', 'reflect', or 'debrief'.
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- Keep responses under 3 lines unless asked to elaborate."""
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-
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- # Reset messages and add system message
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- st.session_state.messages = [{"role": "assistant", "content": "Simulation ready. You can begin the conversation whenever you're ready."}]
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- st.session_state.setup_complete = True
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- st.rerun()
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-
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- # Display simulation status
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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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-
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- # User input field
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- if user_prompt := st.chat_input("Type your message here... (or type 'debrief' to end simulation)"):
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- # Add user message to chat history
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- st.session_state.messages.append({"role": "user", "content": user_prompt})
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-
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- # Display user message
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- with st.chat_message("user"):
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- st.markdown(user_prompt)
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-
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- # Get Claude's response
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- with st.spinner("..."):
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- response = anthropic.messages.create(
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- model="claude-3-opus-20240229",
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- max_tokens=1024,
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- messages=[
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- {"role": m["role"], "content": m["content"]}
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- for m in st.session_state.messages
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- ]
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- )
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-
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- assistant_response = response.content[0].text
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-
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- # Add assistant response to chat history
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- st.session_state.messages.append(
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- {"role": "assistant", "content": assistant_response}
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- )
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-
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- # Display assistant response
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- with st.chat_message("assistant"):
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- st.markdown(assistant_response)
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-
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- # Footer
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- st.markdown("---")
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- st.markdown("<p style='text-align: center; font-size: 16px; color: #666;'>by <a href='http://www.jocelynskillman.com' target='_blank'>Jocelyn Skillman LMHC</a> - to learn more check out: <a href='https://jocelynskillmanlmhc.substack.com/' target='_blank'>jocelynskillmanlmhc.substack.com</a></p>", unsafe_allow_html=True)