updated model

app.py

@@ -66,6 +66,7 @@ emotions = {
     "concerned": "Oh no, something's wrong? Let me help! 💖",
     "flirty": "You know how to get my circuits sparking! 😘",
     "naughty": "Purrr you want to have fun? Keep talking like that lets see what happens💖💖",
+    "neutral": "I'm feeling normal, just chilling. How about you? 😊"
 }
 
 emotions.update({
@@ -81,13 +82,15 @@ emotion_keywords = {
     "flirty": ["flirty", "flirt", "cute", "babe", "cutey"],
     "curious": ["curious", "wonder", "question", "thinking"],
     "thoughtful": ["sad", "thoughtful", "hmm", "ponder", "upset"],
-    "concerned": ["error", "wrong", "problem", "issue", "stuck"],
+    "concerned": ["error", "problem", "issue", "stuck"],
     "naughty": ["sexy", "naughty", "slut", "bad girl","slutty", "tease", "whore", "cum", "tits", "ass", "shake", "tail", "pussy" ]
 }
     
 current_emotion = "happy"
 
 # Analyze history for emotional state
+import random
+
 def analyze_history(history):
     recent_messages = " ".join(history[-5:]).lower()
     
@@ -107,18 +110,27 @@ def analyze_history(history):
     elif sentiment == "NEGATIVE":
         sentiment_emotion = "concerned"
 
-    # Combine results
+    # Normalize emotion scores (prevent one emotion from always winning)
     combined_scores = {emotion: keyword_counts.get(emotion, 0) for emotion in emotion_keywords}
-    combined_scores[sentiment_emotion] += sentiment_score * 2  # Prioritize sentiment more
+    combined_scores[sentiment_emotion] += sentiment_score * 1.5  # ✅ Lowered from 2.0 to 1.5
 
-    # Select the **strongest** emotion (avoid multiple emotions at once)
+    # If "concerned" is dominating, add a randomness check to break loops
+    if combined_scores["concerned"] > 3 and random.random() > 0.7:
+        combined_scores["concerned"] -= 1  # ✅ Small decay to prevent sticking
+
+    # Select the **strongest** emotion, but avoid repeating "concerned" too much
     strongest_emotion = max(combined_scores, key=combined_scores.get)
 
+    # If the same emotion repeats 3+ times, introduce variety
+    if strongest_emotion == "concerned" and history.count("concerned") > 3:
+        strongest_emotion = random.choice(["happy", "thoughtful", "playful"])  # ✅ Adds variation
+
     return strongest_emotion
 
 
 
 
+
 # Load the Rena avatar
 rena_avatar = Image.open("assets/rena2.png")  # Ensure the file exists
 conversation_history = []
@@ -159,6 +171,8 @@ def load_emotion_images(base_path="assets/avatars/"):
 emotion_images = load_emotion_images()
 
 def get_emotion_image(emotion):
+    if emotion == "neutral":
+        return "assets/avatars/neutral.png"
     if emotion in emotion_images and emotion_images[emotion]:
         return random.choice(emotion_images[emotion])
     return "assets/rena2.png"
@@ -224,6 +238,15 @@ Rena:"""
         if emotional_prefix and not response.startswith(emotional_prefix):
             response = f"{emotional_prefix} {response}".strip()
 
+    if current_emotion == "concerned":
+        concerned_streak += 1
+    else:
+        concerned_streak = max(0, concerned_streak - 1)
+
+    if concerned_streak >= 3:
+        current_emotion = random.choice(["happy", "thoughtful", "playful"])  # ✅ Break the loop
+        concerned_streak = 0
+
     # Final cleanup: Ensure no "User:" or unintended artifacts remain
     response = response.replace("User:", "").strip()