Create app.py

app.py

@@ -0,0 +1,67 @@
+!pip install gradio
+
+import gradio as gr
+
+# Define your DV detection patterns
+patterns = [
+    {
+        "id": "identity_erosion_001",
+        "name": "Loss of Personal Joy",
+        "trigger_keywords": ["used to love", "don’t anymore", "haven’t done that in years", "stopped doing"],
+        "concern": "Identity erosion / subtle control",
+        "follow_up_therapist": "What made you stop?",
+        "follow_up_cop": "When did you stop doing that, and did anyone tell you not to?",
+        "insight": "Loss of joyful or self-expressive activities may reflect identity suppression or partner-based discouragement.",
+        "escalation": "Moderate"
+    },
+    {
+        "id": "economic_control_001",
+        "name": "Self-Denial Framed as Budgeting",
+        "trigger_keywords": ["we can’t afford", "not in the budget", "no money for that"],
+        "concern": "Covert economic control",
+        "follow_up_therapist": "Has there ever been something they wanted to spend money on that you didn’t think you could afford?",
+        "follow_up_cop": "Who decides what money gets spent on?",
+        "insight": "When financial limitations are selectively applied to personal growth, it's often a form of control.",
+        "escalation": "Moderate"
+    },
+    {
+        "id": "control_checkins_001",
+        "name": "Monitoring & Check-ins",
+        "trigger_keywords": ["have to check in", "need to be home by", "text when I get there"],
+        "concern": "Surveillance / conditional autonomy",
+        "follow_up_therapist": "What happens if you're late or forget to check in?",
+        "follow_up_cop": "What happens if you don’t check in or come home late?",
+        "insight": "Frequent required check-ins can signal coercive oversight or fear-based compliance.",
+        "escalation": "High"
+    },
+]
+
+# Analysis function
+def analyze_input(text, role):
+    role_key = "therapist" if role == "Therapist" else "cop"
+    input_text = text.lower()
+    results = []
+    for pattern in patterns:
+        if any(keyword in input_text for keyword in pattern["trigger_keywords"]):
+            results.append(
+                f"🔍 Pattern Detected: {pattern['name']}\n"
+                f"Concern: {pattern['concern']}\n"
+                f"Follow-Up Question: {pattern[f'follow_up_{role_key}']}\n"
+                f"Insight: {pattern['insight']}\n"
+                f"Escalation Risk: {pattern['escalation']}\n"
+            )
+    if not results:
+        return "No clear abuse pattern detected. Continue listening for contradictions, self-blame, or fear-based justifications."
+    return "\n\n".join(results)
+
+# Build UI
+gr.Interface(
+    fn=analyze_input,
+    inputs=[
+        gr.Textbox(lines=4, label="What did the person say?"),
+        gr.Radio(["Therapist", "Law Enforcement"], label="Your Role")
+    ],
+    outputs="text",
+    title="DV Pattern Recognition Tool (Prototype)",
+    description="Enter a client or witness quote. The tool flags DV-related behavioral cues and suggests follow-up questions based on your role."
+).launch()