Update app.py

app.py

@@ -3,7 +3,7 @@ from huggingface_hub import InferenceClient
 import os
 import requests
 
-# 추론 API 클라이언트 설정
+# Set up the inference API client
 hf_client = InferenceClient("mistralai/Mistral-Nemo-Instruct-2407", token=os.getenv("HF_TOKEN"))
 
 def respond(
@@ -16,10 +16,10 @@ def respond(
 ):
 
     system_prefix = """
-입력 언어(영어, 한국어, 중국어 등)가 한국어이면 한국어로 답변하고, 영어이면 영어로 답변하라 
+If the input language is Korean, respond in Korean. If it's English, respond in English.
     """
     
-    messages = [{"role": "system", "content": f"{system_prefix} {system_message}"}]  # prefix 추가
+    messages = [{"role": "system", "content": f"{system_prefix} {system_message}"}]  # Add prefix
 
     for val in history:
         if val[0]:
@@ -40,7 +40,7 @@ def respond(
     ):
         token = message.choices[0].delta.content
         if token is not None:
-            response += token.strip("")  # 토큰 제거
+            response += token.strip("")  # Remove tokens
         yield response
 
 
@@ -56,8 +56,8 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="""
-너는 AI 어시스턴트이다.
-""", label="시스템 프롬프트"),
+You are an AI assistant.
+""", label="System Prompt"),
         gr.Slider(minimum=1, maximum=2000, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
@@ -68,11 +68,9 @@ demo = gr.ChatInterface(
             label="Top-p (nucleus sampling)",
         ),
     ],
-    theme=theme,  # 테마 적용
-    css=css  # CSS 적용
+    theme=theme,  # Apply theme
+    css=css  # Apply CSS
 )
 
-
-
 if __name__ == "__main__":
     demo.launch()