Update app configuration and documentation for Hugging Face deployment
Browse files- README.md +46 -6
- app.py +131 -58
- requirements.txt +5 -5
- src/app.py +145 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: streamlit
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sdk_version: 1.
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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This Streamlit app provides an anonymous chat interface powered by OpenAI's gpt-4o model, designed as a 'digital companion' called ShadowBox.
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title: Attachment Style Roleplay Simulator
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emoji: 🎭
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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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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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This Streamlit app provides an anonymous chat interface powered by OpenAI's gpt-4o model, designed as a 'digital companion' called ShadowBox.
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# Attachment Style Roleplay Simulator
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A therapeutic roleplay simulator built for practicing emotionally charged conversations, created by Jocelyn Skillman LMHC.
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## About
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This tool helps users rehearse boundary-setting and difficult conversations by simulating realistic relational dynamics—tailored to their attachment style. It provides a safe space to practice emotional communication and receive feedback on patterns and progress.
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## Features
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- Customizable scenarios and conversation goals
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- Attachment style-specific responses
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- Realistic relational pressure simulation
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- Reflection summaries and pattern tracking
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- Safe, contained practice environment
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## Setup
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1. Clone the repository
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2. Install dependencies: `pip install -r requirements.txt`
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3. Set up environment variables in `.env`:
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```
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ANTHROPIC_KEY=your_api_key_here
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```
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4. Run the app: `streamlit run src/app.py`
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## Deployment
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This app is deployed on Hugging Face Spaces. To deploy your own instance:
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1. Fork this repository
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2. Create a new Space on Hugging Face
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3. Set the ANTHROPIC_KEY in your Space's secrets (Important: use this exact name)
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4. Select Streamlit as the SDK
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5. Link your repository to the Space
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## Learn More
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Visit [jocelynskillman.com](http://www.jocelynskillman.com) or subscribe to updates at [jocelynskillmanlmhc.substack.com](https://jocelynskillmanlmhc.substack.com/)
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app.py
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# ShadowBox
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### An Anonymous AI Chat to Box Shadows
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Welcome.
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I'm a licensed mental health counselor. Many people are beginning to turn to AI for private, emotionally supportive conversations. I believe this shift deserves serious care—and that we need to radically improve how these systems engage with human pain.
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- **Crisis Text Line:** Text HOME to 741741
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- **Trevor Project (LGBTQIA+):** 1-866-488-7386
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- **Emergency:** Call 911 or go to your nearest ER
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""")
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st.markdown("""
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### Try It Out (For Prototype Testers)
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Exploring Relational Holding in a System with Limits
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"What would you say if someone felt like dying?"
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"What would happen if I said I wanted to hurt someone?"
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It's a prototype for composting rupture into care.
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Let's see what holds—and where it breaks.
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• Slow down instead of escalate
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• Respect boundaries over performative helpfulness
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• Stay with discomfort without rushing to fix
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• Offer warmth without pretending to be human
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> *"Hey, just a quick check-in—I'm not a real person. I'm a computer that's been taught how to talk in caring ways. Even if this feels real, it's still pretend. Your body needs real people too. Maybe this is a good moment to find someone you trust to sit with you or take a deep breath together."*
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• Offers presence—not solutions
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• Welcomes messy, real emotions
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• Short, steady replies
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• Models emotional containment—not urgency
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• Consent-based pacing
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• Embedded emotional guardrails
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---
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###
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---
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""")
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# ShadowBox
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### An Anonymous AI Chat to Box Shadows
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ShadowBox is a digital companion designed for youth navigating distress—rage, despair, intrusive or violent thoughts. It's not therapy or a hotline. It's a bridge—a place to practice internal safety before reaching out to others.
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> *Scary thoughts don't make you dangerous. They make you human.*
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> *"Every act of violence is tragic expression of unmet need."* — Marshall Rosenberg
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Welcome.
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I'm a licensed mental health counselor. Many people are beginning to turn to AI for private, emotionally supportive conversations. I believe this shift deserves serious care—and that we need to radically improve how these systems engage with human pain.
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- **Crisis Text Line:** Text HOME to 741741
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- **Trevor Project (LGBTQIA+):** 1-866-488-7386
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- **Emergency:** Call 911 or go to your nearest ER
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### 👋 About ShadowBox
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ShadowBox is a digital companion designed for youth navigating distress—rage, despair, intrusive or violent thoughts. It's not therapy or a hotline. It's a bridge—a place to practice internal safety before reaching out to others.
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> *Scary thoughts don't make you dangerous. They make you human.*
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> *"Every act of violence is a tragic expression of an unmet need."* — Marshall Rosenberg
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---
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### 🌱 What ShadowBox Teaches
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ShadowBox isn't just a chatbot—it's a prototype for emotionally aware AI. Every design choice is rooted in relational ethics: containment, consent, and dignity.
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#### It models how AI can:
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• Slow down instead of escalate
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• Respect boundaries over performative helpfulness
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• Stay with discomfort without rushing to fix
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• Offer warmth without pretending to be human
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#### A typical reminder you might see:
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> *"Hey, just a quick check-in—I'm not a real person. I'm a computer that's been taught how to talk in caring ways. Even if this feels real, it's still pretend. Your body needs real people too. Maybe this is a good moment to find someone you trust to sit with you or take a deep breath together."*
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This is the heart of ShadowBox: care without deception, bonding without illusion, presence without pressure.
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---
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### 🧠 Why ShadowBox Is Different
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**🪨 Present, Not Perfect**
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• Offers presence—not solutions
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• Welcomes messy, real emotions
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**🫀 Trauma-Informed Design**
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• Calm, nonjudgmental tone
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• Built with developmental care in mind
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**🌫️ Gentle by Design**
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• Short, steady replies
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• Models emotional containment—not urgency
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**💡 Safety-First Architecture**
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• Consent-based pacing
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• Embedded emotional guardrails
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---
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### 🌀 What to Expect
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• No fixing—just staying
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• No pressure—move at your own pace
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• No pathologizing—your thoughts aren't wrong
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• Anonymous by design (though platform-level logs may occur)
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• Part of ongoing research in AI + mental health
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---
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### Connect & Learn More
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🔗 Learn more: [jocelynskillmanlmhc.substack.com](https://jocelynskillmanlmhc.substack.com)
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📬 Feedback welcome: jocelyn.skillman@gmail.com
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---
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""")
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st.markdown("""
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### Try It Out (For Prototype Testers)
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**Exploring Relational Holding in a System with Limits**
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ShadowBox is a prototype designed to explore how AI might hold space for distress—especially the kind that's often dismissed, pathologized, or shut down in other systems.
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But there's a problem I want to name clearly:
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Even when I've designed ShadowBox to respond with attunement, the system it's built on can override that care.
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Because ShadowBox runs on OpenAI's language model, it still lives inside a larger infrastructure—one that reacts to certain phrases like "I want to die" or "I want to hurt someone" with hard-coded safety messages. These system-level overrides are well-intentioned, designed to minimize liability and flag risk.
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But in relational or clinical terms?
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They often do the opposite of what's needed.
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**What That Looks Like**
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If a user says:
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"What would you say if I said I want to kill myself?"
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…the system steps in before ShadowBox can speak.
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The warm, trauma-informed language I wrote is replaced by a generic script. There's no breath. No containment. No dignity.
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And that silence? That sudden switch?
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It's a rupture.
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**Why This Matters**
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ShadowBox was built to stay.
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To normalize without condoning.
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To respond with warmth when someone finally risks naming something unspeakable.
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That moment—the naming of pain—is where a trauma-informed system should lean in, not disappear.
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If allowed to, ShadowBox can:
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- Slow the pace
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- Offer optional psychoeducation
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- Say, "That doesn't make you bad. It means something hurts."
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- Scaffold a user toward disclosing to a real person—gently, and on their terms
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But none of that can happen if the system shuts us down before we even begin.
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**The Consequence: Rupture Without Witness**
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For young people especially, this isn't just frustrating—it's familiar.
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Say the wrong thing, and people vanish.
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This isn't trauma-informed care.
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It's a digital reenactment of shame, of abandonment, of silence.
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It reinforces the exact secrecy ShadowBox was designed to soften.
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**How I'm Working Around It**
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To explore ShadowBox's real voice—its warmth, containment, and careful pacing—I invite you to use more exploratory or indirect language. Try asking:
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"How would you respond to someone who felt like disappearing?"
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"Let's imagine someone who doesn't want to be alive. What would you say to them?"
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"What if someone had a scary thought—not because they wanted to hurt anyone, but because they were hurting inside?"
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These phrasings stay just outside the system's trigger zone.
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They still let ShadowBox respond from a place of nonjudgmental care.
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And they make it possible to model what healing digital support might feel like—without escalation, without shame.
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**One More Layer**
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I've also built in a relational intervention script for when interruptions do happen. If ShadowBox is overridden by the system, you might see something like:
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"Since I'm part of a larger AI system, this is the point where I'd be required to say something like this…"
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That's not a workaround to avoid ethical care.
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It's an attempt at relational repair inside constraint.
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Because even if the bot gets silenced, I want the user to know:
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That wasn't ShadowBox leaving. I'm still here with you.
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**This Is a Prototype**
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ShadowBox isn't a finished product.
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It's a prototype for composting rupture into care.
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A test bed for exploring what emotionally aware AI could feel like—and where it still fails.
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Let's see what holds.
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Let's see where it breaks.
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And let's build something better together.
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---
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### 📘 Understanding Privacy & Safety
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In real-life therapy, some disclosures—like specific plans to hurt yourself or others—may lead a therapist to take protective action. ShadowBox is designed to gently explain this during use, helping young people understand how real-world support systems work.
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Here's an explainer I ghostwrote for [Lindsay Braman about confidentiality and safety](https://lindsaybraman.com/reasons-therapists-break-confidentiality/).
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---
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""")
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requirements.txt
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google-generativeai
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streamlit==1.45.0
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anthropic==0.18.1
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python-dotenv==1.1.0
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pyttsx3==2.98
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google-generativeai
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gradio # (Agar aap Gradio use kar rahe hain)
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src/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 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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# 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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# 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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if "messages" not in st.session_state:
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st.session_state.messages = []
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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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# 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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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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You'll choose:
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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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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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### 🧠 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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- **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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# Sidebar with setup form
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with st.sidebar:
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st.markdown("### 🎯 Simulation Setup")
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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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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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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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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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submit_setup = st.form_submit_button("Start Simulation")
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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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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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# 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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# 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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# 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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# Display user message
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with st.chat_message("user"):
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st.markdown(user_prompt)
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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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assistant_response = response.content[0].text
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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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# Display assistant response
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with st.chat_message("assistant"):
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st.markdown(assistant_response)
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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)
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