Create app.py

app.py

@@ -0,0 +1,54 @@
+import os
+import requests
+import tempfile
+
+import dashscope
+import gradio as gr
+
+# 从环境变量读取你的 API Key，或者直接替换成你的 key 字符串
+API_KEY = os.environ['API_KEY']
+
+def tts_gradio(text: str, voice: str) -> str:
+    """
+    调用 Qwen-TTS 接口合成语音，并将返回的 wav 保存到临时文件，
+    返回文件路径给 Gradio 播放。
+    """
+    # 调用合成
+    response = dashscope.audio.qwen_tts.SpeechSynthesizer.call(
+        model="qwen-tts-latest",
+        api_key=API_KEY,
+        text=text,
+        voice=voice,
+    )
+    audio_url = response.output.audio["url"]
+
+    # 下载音频
+    resp = requests.get(audio_url)
+    resp.raise_for_status()
+
+    # 写入临时文件
+    tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
+    tmp.write(resp.content)
+    tmp.flush()
+    tmp.close()
+
+    # 返回文件路径，Gradio 会自动播放
+    return tmp.name
+
+# 定义 Gradio 界面
+demo = gr.Interface(
+    fn=tts_gradio,
+    inputs=[
+        gr.Textbox(lines=4, label="input"),
+        gr.Dropdown(choices=["Dylan", "Sunny", "Jada","Cherry","Ethan",'Serena','Chelsie'], value="Dylan", label="speaker"),
+    ],
+    outputs=gr.Audio(label="output"),
+    title="Qwen-TTS Gradio demo",
+    description="input text，choose speaker，click “submit”",
+    allow_flagging="never",
+)
+
+if __name__ == "__main__":
+    # 本地调试用：localhost:7860
+    demo.launch(server_name="0.0.0.0", server_port=7860)
+