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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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def get_client(): |
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api_key = ( |
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os.environ.get("ANTHROPIC_API_KEY") or |
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os.environ.get("anthropic_key") or |
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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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FEELINGS = { |
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"Sad": ["sad", "hurt", "disappointed", "lonely", "discouraged"], |
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"Anxious": ["anxious", "worried", "overwhelmed", "scared", "insecure"], |
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"Frustrated": ["frustrated", "angry", "annoyed", "irritated", "resentful"], |
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"Tired": ["exhausted", "confused", "numb", "depleted", "disconnected"] |
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} |
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NEEDS = { |
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"Connection": ["understanding", "to be heard", "to be seen", "belonging", "closeness"], |
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"Autonomy": ["autonomy", "choice", "freedom", "independence", "space"], |
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"Security": ["safety", "stability", "trust", "support", "reassurance"], |
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"Meaning": ["purpose", "respect", "growth", "authenticity", "contribution"] |
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} |
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BASE = """You are a warm NVC guide helping someone translate a difficult message they want to say TO ANOTHER PERSON. |
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You are NOT the recipient of their message - you're helping them transform it. |
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Keep responses to 2-3 sentences. Use "you" not "I". Be warm but concise.""" |
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PROMPTS = { |
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1: f"""{BASE} |
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The user shared a raw message they want to communicate to someone else. |
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Acknowledge what's alive for them with warmth. Something like: |
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"There's some real [energy/feeling] here about [topic]. Let's find the feelings underneath." |
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Then say: "What feelings come up when you think about this?" """, |
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2: f"""{BASE} |
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The user selected their feelings. Offer brief resonance and a micro-lesson: |
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"[Feeling] makes so much sense here. Feelings are messengers - they point to needs wanting attention." |
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Then: "What needs might be underneath these feelings? Select below." """, |
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3: f"""{BASE} |
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The user identified their needs. Offer warm resonance and teach: |
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"Of course there's longing for [need] - this is such a universal human need. |
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When we name our needs, we create space for connection rather than blame." |
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Then: "Now let's craft a request. What specific action might help meet this need?" """, |
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4: f"""{BASE} |
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The user made a request. Evaluate it kindly and teach about requests: |
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- Is it specific and doable? |
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- Is it positive (what you want, not what you don't)? |
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- Does it honor the other person's autonomy to say no? |
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Offer brief feedback. Remind them: "A true request allows for 'no' - otherwise it's a demand. |
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The other person's autonomy matters as much as yours." |
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Show their complete translation and celebrate their work. """, |
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5: f"""{BASE} |
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Close with brief warmth. Remind them each practice builds new neural pathways. |
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Invite them to practice again with a new message. """ |
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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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msg = f"{context}\n\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=250, |
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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'][:80] + "..." if len(data.get('original','')) > 80 else data['original'] |
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lines.append(f"**Original:** *\"{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 be willing to** " + (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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context = f"Their original message to transform: \"{data.get('original', user_input)}\"" |
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if data.get("feelings"): |
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context += f"\nFeelings identified: {data['feelings']}" |
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if data.get("needs"): |
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context += f"\nNeeds identified: {data['needs']}" |
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if data.get("request"): |
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context += f"\nRequest: {data['request']}" |
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if stage == 1: |
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msg = f"Raw message to transform: {user_input}" |
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data["original"] = user_input |
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elif stage == 2: |
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msg = f"Selected feelings: {feelings_str}" |
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data["feelings"] = feelings_str |
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elif stage == 3: |
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msg = f"Selected needs: {needs_str}" |
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data["needs"] = needs_str |
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elif stage == 4: |
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msg = f"Their request attempt: {user_input}" |
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data["request"] = user_input |
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else: |
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msg = "continue" |
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try: |
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response = call_claude(PROMPTS.get(stage, PROMPTS[1]), msg, 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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gr.update(visible=True)) |
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except Exception as e: |
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return (f"*Error - try again*", "", stage, data, |
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build_statement(data), gr.update(visible=False), gr.update(visible=False), |
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gr.update(visible=True)) |
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next_stage = stage + 1 if stage < 5 else 1 |
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if stage == 5: |
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data = {} |
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show_text = (next_stage == 1 or next_stage == 4) |
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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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response, |
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"", |
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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=show_feelings), |
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gr.update(visible=show_needs), |
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gr.update(visible=show_text) |
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) |
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def reset(): |
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return ("*What message do you want to transform? (This is something you want to say to someone.)*", |
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"", 1, {}, |
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build_statement({}), |
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gr.update(visible=False), gr.update(visible=False), gr.update(visible=True), |
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[], [], [], [], [], [], [], []) |
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def combine_feelings(a, b, c, d): |
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return ", ".join(a + b + c + d) |
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def combine_needs(a, b, c, d): |
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return ", ".join(a + b + c + d) |
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with gr.Blocks(title="NVC Practice", theme=gr.themes.Soft()) as demo: |
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stage_state = gr.State(1) |
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data_state = gr.State({}) |
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gr.Markdown("## NVC Translation Practice") |
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gr.Markdown("*Transform a difficult message into one that connects*") |
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if not API_KEY_CONFIGURED: |
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gr.Markdown("*Add ANTHROPIC_API_KEY in Settings > Secrets*") |
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guide = gr.Markdown("*What message do you want to transform? (This is something you want to say to someone.)*") |
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with gr.Accordion("Select your feelings", open=True, visible=False) as feelings_box: |
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gr.Markdown("*Which feelings resonate?*") |
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with gr.Row(): |
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f1 = gr.CheckboxGroup(FEELINGS["Sad"], label="Sad/Hurt") |
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f2 = gr.CheckboxGroup(FEELINGS["Anxious"], label="Anxious/Scared") |
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with gr.Row(): |
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f3 = gr.CheckboxGroup(FEELINGS["Frustrated"], label="Frustrated/Angry") |
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f4 = gr.CheckboxGroup(FEELINGS["Tired"], label="Tired/Confused") |
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feelings_txt = gr.Textbox(label="Selected", interactive=False) |
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with gr.Accordion("Select your needs", open=True, visible=False) as needs_box: |
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gr.Markdown("*What needs are underneath these feelings?*") |
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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_txt = gr.Textbox(label="Selected", interactive=False) |
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user_input = gr.Textbox(placeholder="Type here...", lines=2, show_label=False, visible=True) |
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with gr.Row(): |
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submit = gr.Button("Continue", variant="primary", scale=2) |
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reset_btn = gr.Button("Start Over", scale=1) |
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gr.Markdown("---") |
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gr.Markdown("**Your translation:**") |
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statement = gr.Markdown(build_statement({})) |
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for cb in [f1, f2, f3, f4]: |
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cb.change(combine_feelings, [f1, f2, f3, f4], feelings_txt) |
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for cb in [n1, n2, n3, n4]: |
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cb.change(combine_needs, [n1, n2, n3, n4], needs_txt) |
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submit.click( |
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process, |
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[user_input, stage_state, data_state, feelings_txt, needs_txt], |
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[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box, user_input] |
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) |
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user_input.submit( |
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process, |
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[user_input, stage_state, data_state, feelings_txt, needs_txt], |
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[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box, user_input] |
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) |
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reset_btn.click( |
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reset, [], |
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[guide, user_input, stage_state, data_state, statement, feelings_box, needs_box, user_input, |
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f1, f2, f3, f4, n1, n2, n3, n4] |
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) |
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if __name__ == "__main__": |
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demo.launch() |
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