Spaces:
Sleeping
Sleeping
Update Streamlit app with working Claude API integration and improved UI
Browse files- .gitignore +5 -0
- requirements.txt +3 -2
- src/streamlit_app.py +122 -64
.gitignore
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.env
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__pycache__/
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*.pyc
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venv/
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.DS_Store
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requirements.txt
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streamlit==1.31.1
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anthropic==0.
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python-dotenv==1.
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streamlit==1.31.1
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anthropic==0.5.0
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python-dotenv==1.0.0
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httpx==0.24.1
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src/streamlit_app.py
CHANGED
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@@ -14,7 +14,14 @@ st.set_page_config(
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# Initialize Anthropic client
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# Initialize session state variables
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if 'messages' not in st.session_state:
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@@ -26,68 +33,107 @@ if 'system_message' not in st.session_state:
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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
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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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""")
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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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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
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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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# Get AI response
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with st.chat_message("assistant"):
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with st.spinner("Thinking..."):
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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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#
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# Footer
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st.markdown("---")
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)
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# Initialize Anthropic client
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api_key = os.getenv('ANTHROPIC_API_KEY')
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if not api_key:
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st.error("Please set your ANTHROPIC_API_KEY in the .env file")
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st.stop()
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c = Anthropic(
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api_key=api_key,
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)
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# Initialize session state variables
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if 'messages' not in st.session_state:
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# Main page header
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st.title("Attachment Style Roleplay Simulator")
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# Welcome text in main content area
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st.markdown("""
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Welcome!
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Created by [Jocelyn Skillman LMHC](http://www.jocelynskillman.com), this tool is designed to help you 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: [@jocelynskillmanlmhc](https://jocelynskillmanlmhc.substack.com/)
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""")
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st.markdown("""
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This specific project β the Attachment Roleplay Simulator β invites users to practice emotionally difficult conversations, like setting boundaries, through roleplay tailored to their attachment style. It's designed to help people feel into relational patterns, develop language for self-advocacy, and build nervous system capacity for connection and repair.
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π‘ Not sure about your attachment style?
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You can take the free quiz by Sarah Peyton β or simply choose the one that resonates when you read it:
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Anxious β "I often worry I've upset people or need to explain myself."
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Avoidant β "I'd rather deal with things alone and not depend on anyone."
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Disorganized β "I want closeness, but also feel unsafe or mistrusting."
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Secure β "I can express needs and handle conflict without losing connection."
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Choose what vibes β this is a practice space, not a test.
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""")
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# Sidebar welcome and introduction
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with st.sidebar:
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st.markdown("""
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Hi, I'm Jocelyn Skillman, LMHC β 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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Each tool in this collection is thoughtfully designed to:
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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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st.divider()
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# Add the moved content to the bottom of sidebar
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st.markdown("""
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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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As a practicing therapist, I imagine these resources being especially helpful to clinicians like myself β companions in the work of tending to others with insight, warmth, and care.
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To learn more about my work, visit:
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π [jocelynskillman.com](http://www.jocelynskillman.com)
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π¬ [Substack: Relational Code](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.header("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 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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# Get AI response
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with st.chat_message("assistant"):
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with st.spinner("Thinking..."):
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# Construct conversation history
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messages = []
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if st.session_state.system_message:
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messages.append({"role": "system", "content": st.session_state.system_message})
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for msg in st.session_state.messages:
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messages.append({"role": msg["role"], "content": msg["content"]})
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# Get completion
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try:
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message = c.messages.create(
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model="claude-3-opus-20240229",
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max_tokens=1000,
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system=st.session_state.system_message,
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messages=[
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{"role": msg["role"], "content": msg["content"]}
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for msg in st.session_state.messages
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]
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)
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ai_response = message.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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except Exception as e:
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st.error(f"Error getting AI response: {str(e)}")
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st.error("Please try again or contact support if the issue persists.")
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# Footer
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st.markdown("---")
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