Update app.py

app.py

@@ -22,20 +22,15 @@ translator = pipeline("translation", model=TRANSLATOR_MODEL)
 
 # ---------------- HELPERS ----------------
 def is_translation_request(message: str) -> bool:
-    """
-    Heuristics: if user explicitly asks to translate OR if message is not English.
-    """
     triggers = ["translate", "traduce", "ترجم", "traduire", "übersetze"]
     if any(t in message.lower() for t in triggers):
         return True
-    # naive non-English detection (if >40% chars non-ASCII)
     non_ascii_ratio = sum(1 for c in message if ord(c) > 127) / max(len(message), 1)
     return non_ascii_ratio > 0.4
 
 
 # ---------------- CHAT FUNCTION ----------------
 def stream_response(message, chat_history, system_message, max_tokens, temperature, top_p, response_style):
-    # check if translation
     if is_translation_request(message):
         try:
             translated = translator(message, src_lang="auto", tgt_lang="en")[0]["translation_text"]
@@ -60,10 +55,9 @@ def stream_response(message, chat_history, system_message, max_tokens, temperatu
     messages = [{"role": "system", "content": system_message}] + chat_history
     messages.append({"role": "user", "content": message})
 
-    # Append user first
     chat_history.append({"role": "user", "content": message})
     response = ""
-    chat_history.append({"role": "assistant", "content": ""})  # placeholder for streaming
+    chat_history.append({"role": "assistant", "content": ""})
 
     for msg in client.chat_completion(
         messages,
@@ -74,10 +68,9 @@ def stream_response(message, chat_history, system_message, max_tokens, temperatu
     ):
         token = msg.choices[0].delta.content or ""
         response += token
-        chat_history[-1]["content"] = response  # update last assistant message
+        chat_history[-1]["content"] = response
         yield "", chat_history
 
-    # finally clear input box once after streaming is done
     yield "", chat_history
 
 
@@ -109,7 +102,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet", secondary_hue="pink"))
         system_prompt = gr.Textbox(label="System Prompt", value=SYSTEM_PROMPT_DEFAULT, lines=3)
         response_style = gr.Dropdown(
             ["No explanation", "Short explanation", "Detailed explanation"],
-            value="Short explanation",
+            value="No explanation",  # ✅ default set here
             label="Response Style"
         )
         temperature = gr.Slider(0.1, 1.5, value=TEMP_DEFAULT, step=0.1, label="Temperature")