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Update app configuration and documentation for Hugging Face deployment
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import os
import streamlit as st
from anthropic import Anthropic
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Configure Streamlit page settings
st.set_page_config(
page_title="Attachment Style Roleplay Simulator",
page_icon="🎭",
layout="centered",
)
# Initialize Anthropic client
anthropic = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY") or os.getenv("ANTHROPIC_KEY"))
# Initialize session state for form inputs if not present
if "setup_complete" not in st.session_state:
st.session_state.setup_complete = False
if "messages" not in st.session_state:
st.session_state.messages = []
# Main page header
st.markdown("<h1 style='text-align: center; color: #333;'>Attachment Style Roleplay Simulator</h1>", unsafe_allow_html=True)
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)
# Welcome text and instructions
if not st.session_state.setup_complete:
st.markdown("""
## Practice Hard Conversations—Safely.
Welcome to a therapeutic roleplay simulator built for emotionally charged moments.
This tool helps you rehearse boundary-setting and difficult conversations by simulating realistic relational dynamics—tailored to your attachment style.
You'll choose:
- A scenario (e.g., "Ask my mom not to comment on my body")
- A tone of response (e.g., supportive, guilt-tripping, dismissive)
- Your attachment style (e.g., anxious, avoidant, disorganized)
- And your goal (e.g., "I want to stay calm and not backtrack")
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.
### 🧠 Not sure what your attachment style is?
You can take this [free quiz from Sarah Peyton](https://www.yourresonantself.com/attachment-assessment) to learn more.
Or you can just pick the one that vibes when you read it:
- **Anxious** – "I often worry if I've upset people or said too much."
- **Avoidant** – "I'd rather handle things alone than depend on others."
- **Disorganized** – "I want closeness, but I also feel overwhelmed or mistrusting."
- **Secure** – "I can handle conflict and connection without losing myself."
""")
# Sidebar with setup form
with st.sidebar:
st.markdown("### 🎯 Simulation Setup")
with st.form("simulation_setup"):
attachment_style = st.selectbox(
"Your Attachment Style",
["Anxious", "Avoidant", "Disorganized", "Secure"],
help="Select your attachment style for this practice session"
)
scenario = st.text_area(
"Scenario Description",
placeholder="Example: I want to tell my dad I can't call every night anymore.",
help="Describe the conversation you want to practice"
)
tone = st.text_input(
"Desired Tone for AI Response",
placeholder="Example: guilt-tripping, dismissive, supportive",
help="How should the AI character respond?"
)
practice_goal = st.text_area(
"Your Practice Goal",
placeholder="Example: staying grounded and not over-explaining",
help="What would you like to work on in this conversation?"
)
submit_setup = st.form_submit_button("Start Simulation")
if submit_setup and scenario and tone and practice_goal:
# Create system message with simulation parameters
system_message = f"""Attachment Style: {attachment_style}
Scenario: {scenario}
Tone: {tone}
Goal: {practice_goal}
Remember to stay in character unless the client says 'pause', 'reflect', or 'debrief'.
Keep responses under 3 lines unless asked to elaborate."""
# Reset messages and add system message
st.session_state.messages = [{"role": "assistant", "content": "Simulation ready. You can begin the conversation whenever you're ready."}]
st.session_state.setup_complete = True
st.rerun()
# Display simulation status
if not st.session_state.setup_complete:
st.info("👈 Please complete the simulation setup in the sidebar to begin.")
else:
# Display chat history
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# User input field
if user_prompt := st.chat_input("Type your message here... (or type 'debrief' to end simulation)"):
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": user_prompt})
# Display user message
with st.chat_message("user"):
st.markdown(user_prompt)
# Get Claude's response
with st.spinner("..."):
response = anthropic.messages.create(
model="claude-3-opus-20240229",
max_tokens=1024,
messages=[
{"role": m["role"], "content": m["content"]}
for m in st.session_state.messages
]
)
assistant_response = response.content[0].text
# Add assistant response to chat history
st.session_state.messages.append(
{"role": "assistant", "content": assistant_response}
)
# Display assistant response
with st.chat_message("assistant"):
st.markdown(assistant_response)
# Footer
st.markdown("---")
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)