Update app.py

app.py

@@ -60,6 +60,7 @@ def analyze_history(history):
         return "curious"
 
 
+
 # Load the tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(
@@ -80,8 +81,8 @@ def chat(input_text):
     conversation_history.append(f"User: {input_text}")
 
     # Limit the size of the conversation history
-    if len(conversation_history) > 20:
-        conversation_history = conversation_history[-20:]
+    if len(conversation_history) > 15:
+        conversation_history = conversation_history[-15:]
 
     # Update current emotion based on conversation history
     current_emotion = analyze_history(conversation_history)