Mobile-friendly: single column, ultra-concise
Browse files- Single column layout (stacks well on mobile)
- 1-2 sentence responses only (max 150 tokens)
- Simpler feelings/needs categories (4 each)
- Translation builds at bottom as you go
- Cleaner, faster UX
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
app.py
CHANGED
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@@ -1,13 +1,12 @@
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"""
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-
NVC Translation Practice -
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Streamlined flow with visual I-statement builder
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"""
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import gradio as gr
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import anthropic
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import os
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# ============
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def get_client():
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api_key = (
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@@ -16,299 +15,201 @@ def get_client():
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os.environ.get("ANTHROPIC_KEY") or
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os.environ.get("anthropic_api_key")
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)
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if
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return None
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return anthropic.Anthropic(api_key=api_key)
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API_KEY_CONFIGURED = bool(get_client())
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# ============
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FEELINGS = {
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"Sad
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"
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"
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"
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}
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NEEDS = {
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"Connection": ["understanding", "to be heard", "
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"Autonomy": ["autonomy", "choice", "freedom", "
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"Security": ["safety", "stability", "trust", "
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"Meaning": ["purpose", "
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}
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# ============ PROMPTS ============
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BASE = "
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PROMPTS = {
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1: f"{BASE}
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4: f"{BASE}\nHelp form a specific, doable request. Ask: 'What action would help meet this need?'",
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5: f"{BASE}\nCelebrate their translation. One sentence of resonance about their growth. Invite them to practice again."
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}
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# ============
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def call_claude(prompt, message, context=""):
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client = get_client()
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if not client:
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return None
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-
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-
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response = client.messages.create(
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model="claude-sonnet-4-20250514",
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max_tokens=
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system=prompt,
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messages=[{"role": "user", "content":
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)
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return
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def build_statement(data):
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"""Build
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if data.get("original"):
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parts.append("**Original:** *waiting...*")
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parts.append("---")
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parts.append("### Your Translation")
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if data.get("feelings"):
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parts.append(f"**I feel:** {data['feelings']}")
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else:
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parts.append("**I feel:** *...*")
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if data.get("needs"):
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parts.append(f"**Because I need:** {data['needs']}")
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else:
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parts.append("**Because I need:** *...*")
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if data.get("request"):
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parts.append(f"**Would you be willing to:** {data['request']}")
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else:
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parts.append("**Would you be willing to:** *...*")
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-
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if data.get("final"):
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parts.append("---")
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parts.append("### Complete Message")
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parts.append(f"*{data['final']}*")
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"""Format chat - Guide only, no 'You:' prefix"""
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if not history:
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return "*Share a message you want to communicate more skillfully...*"
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if h.get("guide"):
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output += f"{h['guide']}\n\n"
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return output.strip()
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def process(user_input, history, stage, data, feelings_str, needs_str):
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"""Main processing function"""
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if not user_input.strip() and stage > 1:
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user_input = "continue"
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#
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context = ""
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if data.get("original"):
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context
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if data.get("feelings"):
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context += f"
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if data.get("needs"):
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context += f"
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# Get
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try:
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response = call_claude(PROMPTS.get(stage, PROMPTS[1]), user_input, context)
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if response
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return (
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gr.update(visible=False),
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except Exception as e:
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return (
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f"*Error: {str(e)}*",
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"", history, stage, data,
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build_statement(data),
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gr.update(visible=False),
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gr.update(visible=False)
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)
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# Update data based on stage
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if stage == 1:
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data["original"] = user_input
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elif stage == 2:
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data["feelings"] = feelings_str
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elif stage == 3:
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data["needs"] = needs_str
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elif stage == 4:
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data["request"] = user_input
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# Build final statement
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data["final"] = f"I feel {data.get('feelings', '...')} because I need {data.get('needs', '...')}. Would you be willing to {user_input}?"
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# Add to history
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history.append({"guide": response})
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#
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next_stage =
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if stage == 5:
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# Reset for new practice
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next_stage = 1
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data = {}
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history = []
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# Show appropriate selector
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show_feelings = (next_stage == 2)
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show_needs = (next_stage == 3)
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return (
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"",
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history,
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next_stage,
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data,
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build_statement(data),
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gr.update(visible=
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gr.update(visible=
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)
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def reset():
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""
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"",
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[],
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1,
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{},
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build_statement({}),
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gr.update(visible=False),
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gr.update(visible=False),
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[], [], [], [], # feelings
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[], # selected_feelings
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[], [], [], [] # needs
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)
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def
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return ", ".join(
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def
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return ", ".join(
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# ============ UI ============
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# State
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history_state = gr.State([])
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stage_state = gr.State(1)
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data_state = gr.State({})
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gr.Markdown("""
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# NVC Translation Practice
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*Transform difficult messages with clarity and compassion*
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""")
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if not API_KEY_CONFIGURED:
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gr.Markdown("
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with gr.Row():
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with gr.Accordion("Select Your Feelings", open=True, visible=False) as feelings_box:
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with gr.Row():
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f1 = gr.CheckboxGroup(FEELINGS["Sad/Hurt"], label="Sad/Hurt")
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f2 = gr.CheckboxGroup(FEELINGS["Scared/Anxious"], label="Scared/Anxious")
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with gr.Row():
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f3 = gr.CheckboxGroup(FEELINGS["Angry/Frustrated"], label="Angry/Frustrated")
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f4 = gr.CheckboxGroup(FEELINGS["Confused/Tired"], label="Confused/Tired")
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feelings_display = gr.Textbox(label="Selected", interactive=False)
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# Needs selector
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with gr.Accordion("Select Your Needs", open=True, visible=False) as needs_box:
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with gr.Row():
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n1 = gr.CheckboxGroup(NEEDS["Connection"], label="Connection")
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n2 = gr.CheckboxGroup(NEEDS["Autonomy"], label="Autonomy")
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with gr.Row():
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n3 = gr.CheckboxGroup(NEEDS["Security"], label="Security")
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n4 = gr.CheckboxGroup(NEEDS["Meaning"], label="Meaning")
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needs_display = gr.Textbox(label="Selected", interactive=False)
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# Input
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user_input = gr.Textbox(
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placeholder="Type here...",
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lines=2,
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show_label=False
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)
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with gr.Row():
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submit_btn = gr.Button("Continue", variant="primary")
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reset_btn = gr.Button("Start Over")
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# RIGHT: Building I-Statement
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with gr.Column(scale=1):
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gr.Markdown("### Your I-Statement")
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statement_display = gr.Markdown(value=build_statement({}))
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gr.Markdown("""
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---
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*The NVC pattern:*
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- **Observation** (what happened)
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- **Feeling** (what you feel)
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- **Need** (what you need)
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- **Request** (specific ask)
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""")
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# Wire up feelings/needs updates
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for cb in [f1, f2, f3, f4]:
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cb.change(update_feelings, [f1, f2, f3, f4], feelings_display)
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for cb in [n1, n2, n3, n4]:
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cb.change(
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submit_btn.click(
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process,
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[user_input,
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[
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)
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user_input.submit(
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process,
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[user_input,
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[
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)
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-
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# Reset
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reset_btn.click(
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reset,
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[
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feelings_box, needs_box, f1, f2, f3, f4, feelings_display, n1, n2, n3, n4]
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)
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if __name__ == "__main__":
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"""
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+
NVC Translation Practice - Transform messages with compassion
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"""
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import gradio as gr
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import anthropic
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import os
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# ============ SETUP ============
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def get_client():
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api_key = (
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os.environ.get("ANTHROPIC_KEY") or
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os.environ.get("anthropic_api_key")
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)
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return anthropic.Anthropic(api_key=api_key) if api_key else None
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API_KEY_CONFIGURED = bool(get_client())
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# ============ DATA ============
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FEELINGS = {
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"Sad": ["sad", "hurt", "disappointed", "lonely"],
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"Anxious": ["anxious", "worried", "overwhelmed", "scared"],
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"Frustrated": ["frustrated", "angry", "annoyed", "irritated"],
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"Tired": ["exhausted", "confused", "numb", "depleted"]
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}
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NEEDS = {
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"Connection": ["understanding", "to be heard", "belonging", "closeness"],
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"Autonomy": ["autonomy", "choice", "freedom", "space"],
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"Security": ["safety", "stability", "trust", "support"],
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"Meaning": ["purpose", "respect", "growth", "authenticity"]
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}
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# ============ PROMPTS (ultra-concise) ============
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BASE = "Warm guide. 1-2 sentences only. Use 'you' not 'I'."
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PROMPTS = {
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1: f"{BASE} Brief acknowledgment of what was shared.",
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2: f"{BASE} Name 2 feeling guesses. Say: 'Select below or type your own.'",
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3: f"{BASE} Connect feelings to 2 possible needs. Say: 'Choose below.'",
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4: f"{BASE} Ask: 'What specific action would help?' Keep it short.",
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5: f"{BASE} One sentence celebrating their work. Invite another round."
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}
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# ============ FUNCTIONS ============
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def call_claude(prompt, message, context=""):
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client = get_client()
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if not client:
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return None
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msg = f"{context}\n{message}" if context else message
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resp = client.messages.create(
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model="claude-sonnet-4-20250514",
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max_tokens=150,
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system=prompt,
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messages=[{"role": "user", "content": msg}]
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)
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return resp.content[0].text
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def build_statement(data):
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"""Build I-statement for display"""
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lines = []
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if data.get("original"):
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orig = data['original'][:60] + "..." if len(data.get('original','')) > 60 else data['original']
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lines.append(f"*\"{orig}\"*")
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lines.append("")
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lines.append("**I feel** " + (data.get("feelings") or "___"))
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lines.append("**because I need** " + (data.get("needs") or "___"))
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lines.append("**Would you** " + (data.get("request") or "___") + "?")
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return "\n\n".join(lines)
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def process(user_input, stage, data, feelings_str, needs_str):
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"""Process input and advance"""
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if not user_input.strip() and stage > 1:
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user_input = "continue"
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# Context for Claude
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context = ""
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if data.get("original"):
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context = f"Original: {data['original']}"
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if data.get("feelings"):
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context += f"\nFeelings: {data['feelings']}"
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if data.get("needs"):
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context += f"\nNeeds: {data['needs']}"
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# Get response
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try:
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response = call_claude(PROMPTS.get(stage, PROMPTS[1]), user_input, context)
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if not response:
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return ("*Add ANTHROPIC_API_KEY in Settings*", "", stage, data,
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build_statement(data), gr.update(visible=False), gr.update(visible=False))
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except:
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return ("*Error - try again*", "", stage, data,
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| 103 |
+
build_statement(data), gr.update(visible=False), gr.update(visible=False))
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+
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+
# Update data
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| 106 |
if stage == 1:
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| 107 |
data["original"] = user_input
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elif stage == 2:
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| 109 |
+
data["feelings"] = feelings_str or user_input
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| 110 |
elif stage == 3:
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+
data["needs"] = needs_str or user_input
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| 112 |
elif stage == 4:
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| 113 |
data["request"] = user_input
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| 114 |
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+
# Next stage
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| 116 |
+
next_stage = stage + 1 if stage < 5 else 1
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if stage == 5:
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| 118 |
data = {}
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| 119 |
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| 120 |
return (
|
| 121 |
+
response,
|
| 122 |
"",
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| 123 |
next_stage,
|
| 124 |
data,
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| 125 |
build_statement(data),
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| 126 |
+
gr.update(visible=(next_stage == 2)),
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| 127 |
+
gr.update(visible=(next_stage == 3))
|
| 128 |
)
|
| 129 |
|
| 130 |
def reset():
|
| 131 |
+
return ("*What message do you want to transform?*", "", 1, {},
|
| 132 |
+
build_statement({}), gr.update(visible=False), gr.update(visible=False),
|
| 133 |
+
[], [], [], [], [], [], [], [])
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|
| 134 |
|
| 135 |
+
def combine_feelings(a, b, c, d):
|
| 136 |
+
return ", ".join(a + b + c + d)
|
| 137 |
|
| 138 |
+
def combine_needs(a, b, c, d):
|
| 139 |
+
return ", ".join(a + b + c + d)
|
| 140 |
|
| 141 |
# ============ UI ============
|
| 142 |
|
| 143 |
+
css = """
|
| 144 |
+
.container { max-width: 800px; margin: auto; }
|
| 145 |
+
.statement-box { background: #f8f9fa; padding: 1rem; border-radius: 8px; }
|
| 146 |
+
"""
|
| 147 |
+
|
| 148 |
+
with gr.Blocks(title="NVC Practice", theme=gr.themes.Soft(), css=css) as demo:
|
| 149 |
|
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|
| 150 |
stage_state = gr.State(1)
|
| 151 |
data_state = gr.State({})
|
| 152 |
|
| 153 |
+
gr.Markdown("## NVC Translation Practice")
|
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|
| 154 |
|
| 155 |
if not API_KEY_CONFIGURED:
|
| 156 |
+
gr.Markdown("*Add ANTHROPIC_API_KEY in Settings > Secrets*")
|
| 157 |
+
|
| 158 |
+
# Guide response
|
| 159 |
+
guide = gr.Markdown("*What message do you want to transform?*")
|
| 160 |
+
|
| 161 |
+
# Feelings (hidden until stage 2)
|
| 162 |
+
with gr.Accordion("Select feelings", open=True, visible=False) as feelings_box:
|
| 163 |
+
with gr.Row():
|
| 164 |
+
f1 = gr.CheckboxGroup(FEELINGS["Sad"], label="Sad", scale=1)
|
| 165 |
+
f2 = gr.CheckboxGroup(FEELINGS["Anxious"], label="Anxious", scale=1)
|
| 166 |
+
with gr.Row():
|
| 167 |
+
f3 = gr.CheckboxGroup(FEELINGS["Frustrated"], label="Frustrated", scale=1)
|
| 168 |
+
f4 = gr.CheckboxGroup(FEELINGS["Tired"], label="Tired", scale=1)
|
| 169 |
+
feelings_txt = gr.Textbox(label="Selected", interactive=False)
|
| 170 |
+
|
| 171 |
+
# Needs (hidden until stage 3)
|
| 172 |
+
with gr.Accordion("Select needs", open=True, visible=False) as needs_box:
|
| 173 |
+
with gr.Row():
|
| 174 |
+
n1 = gr.CheckboxGroup(NEEDS["Connection"], label="Connection", scale=1)
|
| 175 |
+
n2 = gr.CheckboxGroup(NEEDS["Autonomy"], label="Autonomy", scale=1)
|
| 176 |
+
with gr.Row():
|
| 177 |
+
n3 = gr.CheckboxGroup(NEEDS["Security"], label="Security", scale=1)
|
| 178 |
+
n4 = gr.CheckboxGroup(NEEDS["Meaning"], label="Meaning", scale=1)
|
| 179 |
+
needs_txt = gr.Textbox(label="Selected", interactive=False)
|
| 180 |
+
|
| 181 |
+
# Input
|
| 182 |
+
user_input = gr.Textbox(placeholder="Type here...", lines=2, show_label=False)
|
| 183 |
|
| 184 |
with gr.Row():
|
| 185 |
+
submit = gr.Button("Continue", variant="primary", scale=2)
|
| 186 |
+
reset_btn = gr.Button("Reset", scale=1)
|
| 187 |
+
|
| 188 |
+
# Building statement
|
| 189 |
+
gr.Markdown("---")
|
| 190 |
+
gr.Markdown("**Your translation:**")
|
| 191 |
+
statement = gr.Markdown(build_statement({}), elem_classes="statement-box")
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 192 |
|
| 193 |
+
# Wiring
|
| 194 |
+
for cb in [f1, f2, f3, f4]:
|
| 195 |
+
cb.change(combine_feelings, [f1, f2, f3, f4], feelings_txt)
|
| 196 |
for cb in [n1, n2, n3, n4]:
|
| 197 |
+
cb.change(combine_needs, [n1, n2, n3, n4], needs_txt)
|
| 198 |
|
| 199 |
+
submit.click(
|
|
|
|
| 200 |
process,
|
| 201 |
+
[user_input, stage_state, data_state, feelings_txt, needs_txt],
|
| 202 |
+
[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box]
|
| 203 |
)
|
|
|
|
| 204 |
user_input.submit(
|
| 205 |
process,
|
| 206 |
+
[user_input, stage_state, data_state, feelings_txt, needs_txt],
|
| 207 |
+
[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box]
|
| 208 |
)
|
|
|
|
|
|
|
| 209 |
reset_btn.click(
|
| 210 |
+
reset, [],
|
| 211 |
+
[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box,
|
| 212 |
+
f1, f2, f3, f4, n1, n2, n3, n4]
|
|
|
|
| 213 |
)
|
| 214 |
|
| 215 |
if __name__ == "__main__":
|