Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -247,7 +247,11 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
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none_selected_checked = answers_and_none[-1]
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responses_checked = any(answers_and_none[:-1])
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none_selected = not responses_checked and none_selected_checked
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-
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messages = [msg1, msg2, msg3]
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active = [m for m in messages if m.strip()]
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if not active:
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@@ -263,7 +267,6 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
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composite_abuse = int(round(sum(abuse_scores) / len(abuse_scores)))
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top_label = f"{top_labels[0]} β {int(round(top_scores[0] * 100))}%"
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-
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most_common_stage = max(set(stages), key=stages.count)
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stage_text = RISK_STAGE_LABELS[most_common_stage]
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@@ -275,12 +278,11 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
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out = f"Abuse Intensity: {composite_abuse}%\n"
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out += "π This reflects the strength and severity of detected abuse patterns in the message(s).\n\n"
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-
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out += "π¨ This indicates how many serious risk factors are present based on your answers to the safety checklist.\n\n"
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if escalation_score is None:
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out += "Escalation Potential: Unknown (Checklist not completed)\n"
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out += "π *This section was not completed. Escalation potential is unknown.*\n\n"
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-
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else:
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risk_level = (
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"High" if escalation_score >= 16 else
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@@ -289,7 +291,7 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
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)
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out += f"Escalation Potential: {risk_level} ({escalation_score}/{sum(w for _, w in ESCALATION_QUESTIONS)})\n"
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out += "π¨ This indicates how many serious risk factors are present based on your answers to the safety checklist.\n\n"
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-
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out += generate_risk_snippet(composite_abuse, top_label, escalation_score, most_common_stage)
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out += f"\n\n{stage_text}"
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out += darvo_blurb
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none_selected_checked = answers_and_none[-1]
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responses_checked = any(answers_and_none[:-1])
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none_selected = not responses_checked and none_selected_checked
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+
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+
escalation_score = None if none_selected else sum(
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w for (response, (q, w)) in zip(answers_and_none[:-1], ESCALATION_QUESTIONS) if response
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)
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+
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messages = [msg1, msg2, msg3]
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active = [m for m in messages if m.strip()]
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if not active:
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composite_abuse = int(round(sum(abuse_scores) / len(abuse_scores)))
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top_label = f"{top_labels[0]} β {int(round(top_scores[0] * 100))}%"
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most_common_stage = max(set(stages), key=stages.count)
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stage_text = RISK_STAGE_LABELS[most_common_stage]
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out = f"Abuse Intensity: {composite_abuse}%\n"
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out += "π This reflects the strength and severity of detected abuse patterns in the message(s).\n\n"
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+
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if escalation_score is None:
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out += "Escalation Potential: Unknown (Checklist not completed)\n"
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out += "π *This section was not completed. Escalation potential is unknown.*\n\n"
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escalation_score = 0 # fallback to allow generate_risk_snippet to still work
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else:
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risk_level = (
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"High" if escalation_score >= 16 else
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)
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out += f"Escalation Potential: {risk_level} ({escalation_score}/{sum(w for _, w in ESCALATION_QUESTIONS)})\n"
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out += "π¨ This indicates how many serious risk factors are present based on your answers to the safety checklist.\n\n"
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+
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out += generate_risk_snippet(composite_abuse, top_label, escalation_score, most_common_stage)
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out += f"\n\n{stage_text}"
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out += darvo_blurb
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