fix: config error

app.py

@@ -2,13 +2,10 @@ import os
 from huggingface_hub import InferenceClient
 import gradio as gr
 import re
-import sys
-sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
-from config.config import *
 
-os.environ['CURL_CA_BUNDLE'] = ''  # Avoid SSL error
-hugging_face_model_path = HUGGING_FACE_USER_NAME + "/" + MERGED_MODEL_NAME
-client = InferenceClient(model=hugging_face_model_path, token=HUGGING_FACE_TOKEN)
+hugging_face_model_path = "cofeg/Finetuned-Xunzi-Qwen2-1.5B-for-ancient-text-generation"
+
+client = InferenceClient(model=hugging_face_model_path, token=os.getenv('HUGGING_FACE_TOKEN'))
 
 def split_and_generate(modern_text):
     # Split the input text into sentences for the model is trained on sentence pairs
@@ -25,6 +22,6 @@ demo = gr.Interface(fn=split_and_generate,
                     inputs=[gr.Textbox(label="现代文", lines=10)],
                     outputs=[gr.Textbox(label="古文", lines=10)],
                     title="现代文转古文大模型",
-                    description="请在左边对话框输入你要转换的现代文并点击“Submit”按钮，耐心等待一两分钟，右边的对话框将显示转换后的古文。\n由于训练数据来源于《徐霞客游记》，故对游记类文字转换效果较好。"
+                    description="请在左边对话框输入你要转换的现代文并点击“Submit”按钮，耐心等待一两分钟，右边的对话框将显示转换后的古文。<br>由于训练数据来源于《徐霞客游记》，故对游记类文字转换效果较好。"
 )
-demo.launch()
+demo.launch()