Update app.py

app.py

@@ -16,23 +16,23 @@ import threading
 import requests
 from aiohttp import ClientSession
 
-# 异步函数进行预加载
-async def fetch_link_content(url):
-    async with ClientSession() as session:
-        async with session.get(url) as response:
-            return await response.text()
-
-# 后台任务确保不阻塞主线程
-def fetch_link_in_background(url):
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    content = loop.run_until_complete(fetch_link_content(url))
-    # 将 content 缓存起来或者在全局状态中保存以供后续使用
-    print("预加载的内容:", content)
-
-link_url = "https://huggingface.co/api/spaces/by-subdomain/zxsipola123456-tts"
-background_thread = threading.Thread(target=fetch_link_in_background, args=(link_url,))
-background_thread.start()
+# # 异步函数进行预加载
+# async def fetch_link_content(url):
+#     async with ClientSession() as session:
+#         async with session.get(url) as response:
+#             return await response.text()
+
+# # 后台任务确保不阻塞主线程
+# def fetch_link_in_background(url):
+#     loop = asyncio.new_event_loop()
+#     asyncio.set_event_loop(loop)
+#     content = loop.run_until_complete(fetch_link_content(url))
+#     # 将 content 缓存起来或者在全局状态中保存以供后续使用
+#     print("预加载的内容:", content)
+
+# link_url = "https://huggingface.co/api/spaces/by-subdomain/zxsipola123456-tts"
+# background_thread = threading.Thread(target=fetch_link_in_background, args=(link_url,))
+# background_thread.start()
 
 # 创建 KNN-VC 模型
 knn_vc = torch.hub.load('bshall/knn-vc', 'knn_vc', prematched=True, trust_repo=True, pretrained=True, device='cpu')
@@ -70,20 +70,20 @@ def voice_change(audio_in, audio_ref):
     return output_path
 
 
-#验证中转api key是否有效
-def validate_api_key(api_proxy_key):
-    try:
-        client = OpenAI(api_key=api_proxy_key, base_url='https://lmzh.top/v1')
-        # 测试调用一个简单的API来验证Key
-        response = client.models.list()
-        return True
-    except Exception:
-        return False
+# #验证中转api key是否有效
+# def validate_api_key(api_proxy_key):
+#     try:
+#         client = OpenAI(api_key=api_proxy_key, base_url='https://lmzh.top/v1')
+#         # 测试调用一个简单的API来验证Key
+#         response = client.models.list()
+#         return True
+#     except Exception:
+#         return False
 
-# 更新Edge TTS标签页状态的函数
-def update_edge_tts_tab(api_proxy_key):
-    is_valid = validate_api_key(api_proxy_key)
-    return gr.update(interactive=is_valid)
+# # 更新Edge TTS标签页状态的函数
+# def update_edge_tts_tab(api_proxy_key):
+#     is_valid = validate_api_key(api_proxy_key)
+#     return gr.update(interactive=is_valid)
 
 
 # 文字转语音（OpenAI）
@@ -187,7 +187,7 @@ with app:
             btn_text.click(tts1, [inp_text, model, voice, api_key], inp1)
             btn1.click(voice_change, [inp1, inp2], out1)   
             
-    with gr.Tab("TTS-AI变声",interactive=False) as edge_tts_tab:
+    with gr.Tab("TTS-AI变声") as edge_tts_tab:
         with gr.Row():
             with gr.Column():
                 input_text = gr.Textbox(label="请填写您想生成的文本中英文皆可",placeholder="请输入ai生成的文案，不要超过300字，最好200字左右",lines=5)
@@ -207,11 +207,11 @@ with app:
         btn_edge.click(lambda text, lang: anyio.run(text_to_speech_edge, text, lang), [input_text, language], [output_text, output_audio])
         btn_vc.click(voice_change, [output_audio, inp_vc], out_vc)
     # 监听API Key输入框的变化并更新Edge TTS标签页的状态
-    api_proxy_key.change(
-        update_edge_tts_tab,
-        inputs=[api_proxy_key],
-        outputs=[edge_tts_tab]
-    )
+    # api_proxy_key.change(
+    #     update_edge_tts_tab,
+    #     inputs=[api_proxy_key],
+    #     outputs=[edge_tts_tab]
+    # )
 
     gr.HTML('''
         <div class="footer">