fixed emotions issues

app.py

@@ -143,9 +143,8 @@ def chat(input_text):
     # Limit the size of the conversation history
     conversation_history = truncate_history(conversation_history, max_tokens=1024)
 
-
     # Update current emotion based on conversation history
-    previus_emotion = current_emotion
+    previous_emotion = current_emotion  # Fixed typo here
     current_emotion = analyze_history(conversation_history)
 
     # Combine base prompt and conversation history
@@ -159,22 +158,22 @@ def chat(input_text):
     Respond concisely and directly to the user's input. Avoid repeating the user's input unless clarification is needed.
 
     Rena:"""
+
     # Tokenize and generate a response
     inputs = tokenizer(final_prompt, return_tensors="pt").to('cuda')
     outputs = model.generate(**inputs, max_new_tokens=300, do_sample=True, temperature=0.7, repetition_penalty=1.2, top_p=0.9)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-    # Remove any artifacts from the response
+    # Remove artifacts and repeated user input
     artifacts = [base_prompt, "### Conversation History ###", "Rena:", "Assistant:", "<|assistant|>", "<|user|>"]
     for artifact in artifacts:
         response = response.replace(artifact, "").strip()
 
-    if input_text.lower() in response.lower():
-        response = response.replace(input_text, "").strip()
-    
-    # Only add emotional context if the emotion changes significantly
-    if current_emotion != previous_emotion and emotions.get(current_emotion):
-        # Subtle integration of emotion
+    if input_text.strip().lower() in response.strip().lower():
+        response = response.replace(input_text.strip(), "").strip()
+
+    # Add emotional context if the emotion changes significantly
+    if current_emotion != previous_emotion:
         if current_emotion == "concerned":
             emotional_prefix = "It sounds like there's something challenging! Let me help. 💖"
         elif current_emotion == "happy":
@@ -189,17 +188,10 @@ def chat(input_text):
             emotional_prefix = ""
 
         # Add the prefix naturally to the response
-        if emotional_prefix:
-            response = f"{emotional_prefix} {response}"
-    else:
-        # Keep the response clean
-        response = response.strip()
-
-
+        response = f"{emotional_prefix} {response}".strip()
 
     # Add Rena's response to the conversation history
     conversation_history.append(f"Rena: {response}")
-    
 
     # Handle specific inputs
     if "who made you" in input_text.lower():
@@ -220,11 +212,10 @@ def chat(input_text):
     if "error" in input_text.lower() and not any("error" in msg.lower() for msg in conversation_history):
         witty_remark = random.choice(error_responses)
         response += f" {witty_remark}"
+
+    # Handle fallback if response is empty
     if not response.strip():
         response = "Hmm, I’m not sure how to respond to that. Can you try rephrasing?"
-        
-    
-    
 
     return response
 
@@ -233,6 +224,7 @@ def chat(input_text):
 
 
 
+
 # Custom CSS for avatar styling
 css = """
 #rena_avatar img {