only leave en

app.py

@@ -186,45 +186,41 @@ def infer(region: str):
     os.makedirs(TEMP_DIR, exist_ok=True)
     parser = argparse.ArgumentParser()
     args = get_args(parser)
-    return generate_music(args, TEYVAT[region])
+    return generate_music(args, region)
 
 
 if __name__ == "__main__":
     warnings.filterwarnings("ignore")
     with gr.Blocks() as demo:
-        gr.Markdown(
-            """
-<center>欢迎使用此创空间, 此创空间基于 Tunesformer 开源项目制作，完全免费。</center>
-<center>Welcome to this space based on the Tunesformer open source project, which is totally free!</center>"""
-        )
         with gr.Row():
             with gr.Column():
                 region_opt = gr.Dropdown(
-                    choices=list(TEYVAT.keys()),
-                    value="蒙德 Mondstadt",
-                    label="地区风格 Region",
+                    choices=TEYVAT,
+                    value="Mondstadt",
+                    label="Region",
                 )
-                gen_btn = gr.Button("生成 Generate")
+                gen_btn = gr.Button("Generate")
                 gr.Markdown(
                     """
-    <center>
-    当前模型还在调试中，计划在原神主线杀青后，所有国家地区角色全部开放后，二创音乐会齐全且样本均衡，届时重新微调模型并添加现实风格筛选辅助游戏各国家输出强化学习，以提升输出区分度与质量。<br>The current model is still in debugging, the plan is in the Genshin Impact after the main line is killed, all countries and regions after all the characters are open, the second creation of the concert will be complete and the sample is balanced, at that time to re-fine-tune the model and add the reality of the style of screening to assist in the game of each country's output to strengthen the learning in order to enhance the output differentiation and quality.
+    Welcome to this space based on the Tunesformer open source project, which is totally free!
+    
+    The current model is still in debugging, the plan is in the Genshin Impact after the main line is killed, all countries and regions after all the characters are open, the second creation of the concert will be complete and the sample is balanced, at that time to re-fine-tune the model and add the reality of the style of screening to assist in the game of each country's output to strengthen the learning in order to enhance the output differentiation and quality.
 
-    数据来源 (Data source): <a href="https://musescore.org">MuseScore</a><br>
-    Tag 嵌入数据来源 (Tags source): <a href="https://genshin-impact.fandom.com/wiki/Genshin_Impact_Wiki">Genshin Impact Wiki | Fandom</a><br>
-    模型基础 (Model base): <a href="https://github.com/sander-wood/tunesformer">Tunesformer</a>
+    Data source: <a href="https://musescore.org">MuseScore</a><br>
+    Tags source: <a href="https://genshin-impact.fandom.com/wiki/Genshin_Impact_Wiki">Genshin Impact Wiki | Fandom</a><br>
+    Model base: <a href="https://github.com/sander-wood/tunesformer">Tunesformer</a>
 
-    注：崩铁方面数据工程正在运作中，未来也希望随主线杀青而基线化。<br>Note: Data engineering on the Star Rail is in operation, and will hopefully be baselined in the future as well with the mainline kill.</center>"""
+    Note: Data engineering on the Star Rail is in operation, and will hopefully be baselined in the future as well with the mainline kill."""
                 )
 
             with gr.Column():
-                wav_output = gr.Audio(label="音频 (Audio)", type="filepath")
-                dld_midi = gr.File(label="下载 MIDI (Download MIDI)")
-                pdf_score = gr.File(label="下载 PDF 乐谱 (Download PDF)")
-                dld_xml = gr.File(label="下载 MusicXML (Download MusicXML)")
-                dld_mxl = gr.File(label="下载 MXL (Download MXL)")
-                abc_output = gr.Textbox(label="abc notation", show_copy_button=True)
-                img_score = gr.Image(label="五线谱 (Staff)", type="filepath")
+                wav_output = gr.Audio(label="Audio", type="filepath")
+                dld_midi = gr.File(label="Download MIDI")
+                pdf_score = gr.File(label="Download PDF")
+                dld_xml = gr.File(label="Download MusicXML")
+                dld_mxl = gr.File(label="Download MXL")
+                abc_output = gr.Textbox(label="ABC notation", show_copy_button=True)
+                img_score = gr.Image(label="Staff", type="filepath")
 
         gen_btn.click(
             infer,

convert.py

@@ -27,17 +27,14 @@ def xml2(xml_path: str, target_fmt: str):
 def pdf2img(pdf_path: str):
     output_path = pdf_path.replace(".pdf", ".jpg")
     doc = fitz.open(pdf_path)
-    # 创建一个图像列表
     images = []
     for page_number in range(doc.page_count):
         page = doc[page_number]
-        # 将页面渲染为图像
         image = page.get_pixmap()
-        # 将图像添加到列表
         images.append(
             Image.frombytes("RGB", [image.width, image.height], image.samples)
         )
-    # 竖向合并图像
+
     merged_image = Image.new(
         "RGB", (images[0].width, sum(image.height for image in images))
     )
@@ -45,9 +42,8 @@ def pdf2img(pdf_path: str):
     for image in images:
         merged_image.paste(image, (0, y_offset))
         y_offset += image.height
-    # 保存合并后的图像为JPG
+
     merged_image.save(output_path, "JPEG")
-    # 关闭PDF文档
     doc.close()
     return output_path
 

utils.py

@@ -7,13 +7,7 @@ import subprocess
 from tqdm import tqdm
 from modelscope import snapshot_download
 
-TEYVAT = {
-    "蒙德 Mondstadt": "Mondstadt",
-    "璃月 Liyue": "Liyue",
-    "稻妻 Inazuma": "Inazuma",
-    "须弥 Sumeru": "Sumeru",
-    "枫丹 Fontaine": "Fontaine",
-}
+TEYVAT = ["Mondstadt", "Liyue", "Inazuma", "Sumeru", "Fontaine"]
 WEIGHTS_PATH = (
     snapshot_download("Genius-Society/hoyoMusic", cache_dir="./__pycache__")
     + "/weights.pth"