Update app.py

app.py

@@ -39,6 +39,45 @@ THRESHOLDS = {
     "projection":      0.09, "recovery phase":           0.33, "threat":    0.15
 }
 
+# ——— 3) Emotional-tone tagging (no abuse_score / DARVO) —————————————————————————————
+def get_emotional_tone_tag(emotion_profile, patterns):
+    anger   = emotion_profile.get("anger",   0)
+    disgust = emotion_profile.get("disgust", 0)
+    sadness = emotion_profile.get("sadness", 0)
+    joy     = emotion_profile.get("joy",     0)
+    neutral = emotion_profile.get("neutral", 0)
+    fear    = emotion_profile.get("fear",    0)
+
+    # 1) Vulnerable: sadness high + recovery-phase
+    if sadness > 0.4 and "recovery phase" in patterns:
+        return "vulnerable"
+
+    # 2) Supportive: joy very high + no other patterns (or only recovery-phase)
+    if joy > 0.5 and (not patterns or patterns == ["recovery phase"]):
+        return "supportive"
+
+    # 3) Confrontational: anger/disgust high + aggressive patterns
+    if (anger + disgust) > 0.5 and any(p in patterns for p in ["insults", "control", "threat"]):
+        return "confrontational"
+
+    # 4) Manipulative: neutral high + classic manipulation patterns
+    if neutral > 0.4 and any(p in patterns for p in ["gaslighting", "dismissiveness", "projection", "guilt tripping", "blame shifting"]):
+        return "manipulative"
+
+    # 5) Feigned Warmth: joy high but manipulative patterns present
+    if joy > 0.5 and any(p in patterns for p in ["gaslighting", "dismissiveness", "projection", "guilt tripping", "blame shifting"]):
+        return "feigned warmth"
+
+    # 6) Defensive: anger high + contradictory statements
+    if anger > 0.4 and "contradictory statements" in patterns:
+        return "defensive"
+
+    # 7) Neutral: pure neutral dominates all
+    if neutral > max(anger, disgust, sadness, joy, fear):
+        return "neutral"
+
+    return None
+
 
 # ——— 3) Single-message analysis ——————————————————————————————————————————————
 def analyze_message(text):
@@ -63,39 +102,58 @@ def analyze_message(text):
     return {
         "emotion_profile": emotion_profile,
         "active_patterns": active
+        "tone_tag": tone_tag
     }
 
 
-# ——— 4) Composite wrapper (for multiple inputs) ———————————————————————————————————
-def analyze_composite(*texts):
-    """
-    Accept multiple text inputs, run analyze_message on each, and
-    return a single formatted string.
-    """
+# ——— 5) Composite wrapper (handles .txt or image + text boxes) ——————————————————————
+def analyze_composite(uploaded_file, *texts):
     outputs = []
+
+    if uploaded_file is not None:
+        raw = uploaded_file.read()
+        name = uploaded_file.name.lower()
+        if name.endswith((".png", ".jpg", ".jpeg", ".tiff", ".bmp", ".gif")):
+            img = Image.open(io.BytesIO(raw))
+            content = pytesseract.image_to_string(img)
+        else:
+            try:
+                content = raw.decode("utf-8")
+            except UnicodeDecodeError:
+                content = raw.decode("latin-1")
+
+        r = analyze_message(content)
+        outputs.append(
+            "── Uploaded File ──\n"
+            f"Emotion Profile : {r['emotion_profile']}\n"
+            f"Active Patterns : {r['active_patterns']}\n"
+            f"Emotional Tone : {r['tone_tag']}\n"
+        )
+
     for idx, txt in enumerate(texts, start=1):
         if not txt:
             continue
         r = analyze_message(txt)
-        block = (
+        outputs.append(
             f"── Message {idx} ──\n"
-            f"Emotion Profile: {r['emotion_profile']}\n"
-            f"Active Patterns: {r['active_patterns']}\n"
+            f"Emotion Profile : {r['emotion_profile']}\n"
+            f"Active Patterns : {r['active_patterns']}\n"
+            f"Emotional Tone : {r['tone_tag']}\n"
         )
-        outputs.append(block)
+
     return "\n".join(outputs) if outputs else "Please enter at least one message."
 
 
-# ——— 5) Gradio interface ————————————————————————————————————————————————
-# adjust how many message inputs you want here:
+# ——— 6) Gradio interface ————————————————————————————————————————————————
 message_inputs = [gr.Textbox(label=f"Message {i+1}") for i in range(3)]
 
 iface = gr.Interface(
     fn=analyze_composite,
-    inputs=message_inputs,
+    inputs=gr.File(file_types=[".txt", ".png", ".jpg", ".jpeg"], label="Upload text or image") 
+           + message_inputs,
     outputs=gr.Textbox(label="Analysis"),
-    title="Tether Analyzer (no abuse-score / no DARVO)",
-    description="emotions, and active abuse-patterns only."
+    title="Tether Analyzer (with Tone Tags)",
+    description="Extracts motifs, emotions, patterns—and now an emotional tone tag—no abuse score or DARVO."
 )
 
 if __name__ == "__main__":