Delete app.py

app.py

@@ -1,79 +0,0 @@
-import os
-import tempfile
-
-import gradio as gr
-from huggingface_hub import snapshot_download
-
-from openvoice import se_extractor
-from openvoice.api import ToneColorConverter
-
-DEVICE = "cpu"
-
-# Downloads OpenVoice V2's tone-color converter checkpoint from the HF Hub
-# the first time the Space boots. Cached afterwards in the Space's storage.
-CKPT_DIR = snapshot_download(repo_id="myshell-ai/OpenVoiceV2")
-CONVERTER_DIR = os.path.join(CKPT_DIR, "converter")
-
-tone_color_converter = ToneColorConverter(
-    os.path.join(CONVERTER_DIR, "config.json"), device=DEVICE
-)
-tone_color_converter.load_ckpt(os.path.join(CONVERTER_DIR, "checkpoint.pth"))
-
-
-def convert_voice(source_audio, elderly_reference_audio):
-    if source_audio is None or elderly_reference_audio is None:
-        raise gr.Error("请先上传「原始录音」和「老年人参考音频」两个文件")
-
-    with tempfile.TemporaryDirectory() as tmp:
-        # vad=True uses lightweight Silero VAD to find clean speech segments
-        # (no transcription needed), which is enough for tone-color extraction.
-        src_se, _ = se_extractor.get_se(
-            source_audio, tone_color_converter, target_dir=tmp, vad=True
-        )
-        tgt_se, _ = se_extractor.get_se(
-            elderly_reference_audio, tone_color_converter, target_dir=tmp, vad=True
-        )
-
-        output_path = os.path.join(tmp, "output.wav")
-        tone_color_converter.convert(
-            audio_src_path=source_audio,
-            src_se=src_se,
-            tgt_se=tgt_se,
-            output_path=output_path,
-        )
-
-        with open(output_path, "rb") as f:
-            data = f.read()
-
-    # Write result outside the tempdir so Gradio can still read it after cleanup
-    final_path = tempfile.NamedTemporaryFile(suffix=".wav", delete=False).name
-    with open(final_path, "wb") as f:
-        f.write(data)
-    return final_path
-
-
-with gr.Blocks(title="老年声音转换") as demo:
-    gr.Markdown(
-        "# 声音转老年音色\n"
-        "1. 上传要转换的原始录音\n"
-        "2. 上传一段几秒钟的老年人声音样本(参考音色)\n"
-        "3. 点击「开始转换」\n\n"
-        "基于 [OpenVoice V2](https://github.com/myshell-ai/OpenVoice) 的零样本音色转换,"
-        "CPU 上单次转换大约需要 10~30 秒,请耐心等待。"
-    )
-    with gr.Row():
-        source_audio = gr.Audio(label="要转换的原始录音", type="filepath")
-        elderly_reference_audio = gr.Audio(
-            label="老年人参考音频(几秒钟即可)", type="filepath"
-        )
-    convert_btn = gr.Button("开始转换", variant="primary")
-    output_audio = gr.Audio(label="转换结果", type="filepath")
-
-    convert_btn.click(
-        fn=convert_voice,
-        inputs=[source_audio, elderly_reference_audio],
-        outputs=output_audio,
-    )
-
-if __name__ == "__main__":
-    demo.launch()