rivapereira123 commited on
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e07a00a
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1 Parent(s): f5d0491

Update ensemble.py

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  1. ensemble.py +34 -0
ensemble.py CHANGED
@@ -41,6 +41,37 @@ MINOR_ARCANA = {
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  "🌬️ Swords": ["fear", "anxious", "nervousness", "apprehensive", "guilt", "sad", "lonely", "embarrassed", "disappointed", "ashamed", "devastated", "angry", "frustrated"]
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  }
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  def run_quiz_step():
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  # Keep session history
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  if "question_index" not in st.session_state:
@@ -82,6 +113,9 @@ def run_quiz_step():
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  st.markdown("### 🃏 Your Tarot Archetype")
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  st.success(tarot)
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  def generate_reflection_and_prompt(user_input, detected_emotions):
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  base_emotion = detected_emotions[0][0] if detected_emotions else "something tender"
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  return f"What I hear is... you’re feeling {base_emotion}. Could you tell me more?"
 
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  "🌬️ Swords": ["fear", "anxious", "nervousness", "apprehensive", "guilt", "sad", "lonely", "embarrassed", "disappointed", "ashamed", "devastated", "angry", "frustrated"]
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  }
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+
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+
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+ def detect_attachment_style(answers):
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+ secure = avoidant = anxious = disorganized = 0
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+ keywords = {
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+ "secure": ["trust", "safe", "comfortable", "balance", "communicate"],
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+ "avoidant": ["alone", "space", "suffocating", "independent", "self-reliant"],
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+ "anxious": ["worry", "fear", "abandon", "cling", "reassurance"],
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+ "disorganized": ["confused", "mixed", "unsafe", "trapped", "conflict"]
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+ }
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+
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+ for answer in answers:
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+ text = answer["response"].lower()
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+ for style, terms in keywords.items():
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+ if any(term in text for term in terms):
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+ vars()[style] += 1
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+
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+ # Add emotion scoring
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+ for answer in answers:
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+ if "anxious" in answer["tone"]["top_emotions"]: anxious += 2
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+ if "fear" in answer["tone"]["top_emotions"]: disorganized += 1
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+
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+ styles = {
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+ "Secure": secure,
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+ "Avoidant": avoidant,
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+ "Anxious": anxious,
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+ "Disorganized": disorganized
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+ }
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+ return max(styles.items(), key=lambda x: x[1])[0]
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+
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+
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  def run_quiz_step():
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  # Keep session history
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  if "question_index" not in st.session_state:
 
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  st.markdown("### 🃏 Your Tarot Archetype")
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  st.success(tarot)
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+
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+
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+
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  def generate_reflection_and_prompt(user_input, detected_emotions):
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  base_emotion = detected_emotions[0][0] if detected_emotions else "something tender"
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  return f"What I hear is... you’re feeling {base_emotion}. Could you tell me more?"