Update app.py

app.py

@@ -63,7 +63,8 @@ EXPLANATIONS = {
     "guilt_tripping": "Guilt-tripping involves making someone feel guilty or responsible for things they didn’t do, often to manipulate their behavior.",
     "emotional_manipulation": "Emotional manipulation is using guilt, fear, or emotional dependency to control another person’s thoughts, feelings, or actions.",
     "manipulation": "Manipulation refers to using deceptive tactics to control or influence someone’s emotions, decisions, or behavior to serve the manipulator’s own interests.",
-    "non_abusive": "Non-abusive language is communication that is respectful, empathetic, and free of harmful behaviors or manipulation."
+    "non_abusive": "Non-abusive language is communication that is respectful, empathetic, and free of harmful behaviors or manipulation.",
+    "obscure_formal": "Obscure or overly formal language used manipulatively to create confusion, avoid responsibility, or assert superiority."
 }
 
 def calculate_abuse_level(scores, thresholds):
@@ -84,7 +85,7 @@ def interpret_abuse_level(score):
     else:
         return "Very Low / Likely Safe"
 
-def analyze_messages(input_text):
+def analyze_messages(input_text, risk_flags):
     input_text = input_text.strip()
     if not input_text:
         return "Please enter a message for analysis."
@@ -105,6 +106,11 @@ def analyze_messages(input_text):
     pattern_count = sum(score > adjusted_thresholds[label] for label, score in zip(PATTERN_LABELS, scores[:15]))
     danger_flag_count = sum(score > adjusted_thresholds[label] for label, score in zip(DANGER_LABELS, scores[15:18]))
 
+    # Incorporate risk flag count
+    user_risk_count = len(risk_flags)
+    if user_risk_count >= 2:
+        danger_flag_count += 1  # elevate risk signal
+
     non_abusive_score = scores[LABELS.index('non_abusive')]
     if non_abusive_score > adjusted_thresholds['non_abusive']:
         return "This message is classified as non-abusive."
@@ -140,7 +146,16 @@ def analyze_messages(input_text):
 
 iface = gr.Interface(
     fn=analyze_messages,
-    inputs=gr.Textbox(lines=10, placeholder="Enter message here..."),
+    inputs=[
+        gr.Textbox(lines=10, placeholder="Enter message here..."),
+        gr.CheckboxGroup(label="Do any of these apply to your situation?", choices=[
+            "They've threatened harm",
+            "They isolate me",
+            "I’ve changed my behavior out of fear",
+            "They monitor/follow me",
+            "I feel unsafe when alone with them"
+        ])
+    ],
     outputs=[
         gr.Textbox(label="Analysis Result"),
     ],
@@ -148,4 +163,4 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()