Update app.py

app.py

@@ -22,7 +22,7 @@ def respond_cohere_qna(
     Cohere Command R+ 모델을 이용해 한 번의 질문(question)에 대한 답변을 반환하는 함수.
     """
     try:
-        client = get_client(hf_zAIanESNwKnLrnwRpiTzewTcrZOKfkAeHBn)
+        client = get_client(hf_token)
     except ValueError as e:
         return f"오류: {str(e)}"
 
@@ -50,6 +50,12 @@ def respond_cohere_qna(
 with gr.Blocks() as demo:
     gr.Markdown("# 블로그 생성기")
 
+    hf_token_box = gr.Textbox(
+        label="HuggingFace 토큰",
+        type="password",
+        placeholder="HuggingFace API 토큰을 입력하세요..."
+    )
+
     input1 = gr.Textbox(label="말투바꾸기", lines=1)
     input2 = gr.Textbox(label="참조글1", lines=1)
     input3 = gr.Textbox(label="참조글2", lines=1)
@@ -89,11 +95,11 @@ with gr.Blocks() as demo:
 
     submit_button = gr.Button("전송")
 
-    def merge_and_call_cohere(i1, i2, i3, i4, i5, sys_msg, hf_token):
+    def merge_and_call_cohere(i1, i2, i3, i4, i5, hf_token):
         question = " ".join([i1, i2, i3, i4, i5])
         return respond_cohere_qna(
             question=question,
-            system_message=sys_msg,
+            system_message=system_message,
             max_tokens=4000,
             temperature=0.7,
             top_p=0.95,
@@ -103,8 +109,7 @@ with gr.Blocks() as demo:
     submit_button.click(
         fn=merge_and_call_cohere,
         inputs=[
-            input1, input2, input3, input4, input5,
-            system_message
+            input1, input2, input3, input4, input5, hf_token_box
         ],
         outputs=answer_output
     )