Correctly add audio files with Git LFS

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,22 @@
+# Dockerfile
+# 使用官方的 Python 基础镜像
+FROM python:3.11-slim
+
+# 将工作目录设置为 /app
+WORKDIR /app
+
+# 将依赖文件复制到镜像中
+COPY requirements.txt .
+
+# 安装依赖
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 将你项目中的所有文件（app.py, voices/ 文件夹等）复制到镜像中
+COPY . .
+
+# 暴露端口 7860 (Hugging Face Spaces 的标准端口)
+EXPOSE 7860
+
+# 运行 Gunicorn 服务器的命令
+# 它会启动 1 个工作进程来运行你的 app.py 中的 'app' 对象
+CMD ["gunicorn", "--workers", "1", "--bind", "0.0.0.0:7860", "app:app"]

app.py

@@ -0,0 +1,64 @@
+# app.py
+import os
+import shutil
+from flask import Flask, request, jsonify, send_file
+from gradio_client import Client, file as gradio_file
+
+app = Flask(__name__)
+
+VOICES_DIR = "voices"
+if not os.path.exists(VOICES_DIR):
+    os.makedirs(VOICES_DIR)
+
+SPACE_URL = "https://indexteam-indextts-2-demo.hf.space/"
+gradio_client = None
+
+try:
+    print("正在连接到 Gradio 服务...")
+    gradio_client = Client(SPACE_URL)
+    print("Gradio 客户端已准备就绪。")
+except Exception as e:
+    print(f"错误：无法连接到 Gradio 服务: {e}")
+
+def process_tts_request(text: str, voice_reference_path: str) -> str:
+    params = [
+        'Same as the voice reference', gradio_file(voice_reference_path), text,
+        None, 0.8, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
+        "", False, 120, True, 0.8, 30, 0.8, 0.0, 3, 10.0, 1500
+    ]
+    result = gradio_client.predict(*params, api_name="/gen_single")
+    if isinstance(result, dict) and 'value' in result:
+        temp_audio_path = result.get('value')
+        if temp_audio_path and os.path.exists(temp_audio_path):
+            return temp_audio_path
+    raise ValueError(f"从 Gradio API 返回了预料之外的格式: {result}")
+
+@app.route('/v1/audio/speech', methods=['POST'])
+def openai_style_tts_endpoint():
+    if gradio_client is None:
+        return jsonify({"error": "服务未就绪"}), 503
+    try:
+        data = request.get_json()
+        input_text, voice_filename = data['input'], data['voice']
+    except Exception:
+        return jsonify({"error": "无效请求格式"}), 400
+
+    voice_path = os.path.join(VOICES_DIR, voice_filename)
+    if not os.path.exists(voice_path):
+        return jsonify({"error": f"Voice '{voice_filename}' 不存在。"}), 404
+
+    temp_file = None
+    try:
+        print(f"收到请求: input='{input_text[:30]}...', voice='{voice_filename}'")
+        temp_file = process_tts_request(input_text, voice_path)
+        return send_file(temp_file, mimetype="audio/wav", as_attachment=True, download_name="speech.wav")
+    except Exception as e:
+        print(f"处理请求时出错: {e}")
+        return jsonify({"error": {"message": "内部服务器错误", "details": str(e)}}), 500
+    finally:
+        if temp_file and os.path.exists(temp_file):
+            os.remove(temp_file)
+
+# 这段代码是为了在本地测试，部署到Hugging Face时 Gunicorn 会直接调用 app 对象
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)

requirements.txt

@@ -0,0 +1,5 @@
+# requirements.txt
+Flask
+gradio_client
+requests
+gunicorn  # 我们用它来在服务器上运行 Flask

voices/-1

@@ -0,0 +1 @@
+voices

voices/liang.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b373a88f49f2d0d8d9670956d83e155f649d83c8b0ab4b8bcd6ed934b8806c1
+size 395564