feat: deploy app for ancient Chinese text generation

app.py

@@ -0,0 +1,24 @@
+import os
+from huggingface_hub import InferenceClient
+import gradio as gr
+import re
+
+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
+    sentences = re.findall(r'[^。！？]*[。！？]', modern_text)
+    responses = ""
+    for sentence in sentences:
+        input = "现代文：" + sentence + " 古文："
+        for token in client.text_generation(input, max_new_tokens=128, stream=True):
+            if token != "<|endoftext|>":
+                responses += token
+                yield responses
+
+demo = gr.Interface(fn=split_and_generate,
+                        inputs=[gr.Textbox(label="现代文", lines=10)],
+                        outputs=[gr.Textbox(label="古文", lines=10)])
+demo.launch()