| <!DOCTYPE html> |
| <html> |
| <head> |
| |
| <style> |
| body { |
| font-family: 'Roboto', sans-serif; |
| font-size: 16px; |
| } |
| .logo { |
| height: 1em; |
| vertical-align: middle; |
| margin-bottom: 0.1em; |
| } |
| </style> |
| |
| <script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite@0.4.1/dist/lite.js"></script> |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite@0.4.1/dist/lite.css" /> |
| </head> |
| <body> |
| <h2> |
| |
| Gradio-lite (Gradio running entirely in your browser!) |
| </h2> |
| <p>Try it out! Once the Gradio app loads (can take 10-15 seconds), disconnect your Wifi and the machine learning model will still work!</p> |
| <gradio-lite> |
|
|
| <gradio-file name="app.py" entrypoint> |
| import gradio as gr |
| from tempfile import NamedTemporaryFile |
|
|
| def translate_subtitles(english_srt, translated_json): |
| with open(english_srt, 'r', encoding='utf-8') as file: |
| english_subtitles = file.read().strip().split('\n\n') |
| |
| with open(translated_json, 'r', encoding='utf-8') as file: |
| translated_texts = eval(file.read()) |
| # 将上传的JSON文件内容转化为字典 |
| # 确保翻译文本的数量与SRT文件中的条目数量相同 |
| assert len(translated_texts) == len(english_subtitles) |
| |
| # 用来存储最终翻译的SRT内容 |
| translated_srt_content = [] |
| |
| # 遍历SRT文件中的每个条目，并用翻译后的文本替换原文本 |
| for index, block in enumerate(english_subtitles): |
| lines = block.split('\n') |
| translated_srt_content.append(lines[0]) # 序号 |
| translated_srt_content.append(lines[1]) # 时间轴 |
| translated_srt_content.append(translated_texts[index]) # 翻译文本 |
| translated_srt_content.append('') # 添加空行作为字幕块的分隔 |
| |
| # 将列表转换为字符串，每个元素之间以换行符连接 |
| translated_srt_string = '\n'.join(translated_srt_content) |
| with NamedTemporaryFile(delete=False, suffix='.srt', mode='w', encoding='utf-8') as tmp_file: |
| tmp_file.write(translated_srt_string) |
| return tmp_file.name # 返回文件路径以便下载 |
|
|
| # 创建Gradio接 |
| iface = gr.Interface( |
| fn=translate_subtitles, |
| inputs=[ |
| gr.File(label="Upload English SRT File"), |
| gr.File(label="Upload Translated Texts JSON File") |
| ], |
| outputs=gr.File(label="Download Translated SRT File") |
|
|
| ) |
|
|
| # 启动Gradio界面 |
| iface.launch() |
| </gradio-file> |
|
|
| </gradio-lite> |
| </body> |
| </html> |
