[BUG] 无法生成分享链接

[ArlanCooper]

Is there an existing issue for this?

• I have searched the existing issues

Current Behavior

我这边，运行web_demo.py
修改下面的share参数为True,如下：

demo.queue().launch(share=True, inbrowser=True)

但是报错：
Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision.
Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:15<00:00, 1.90s/it]
Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app
^CKeyboard interruption in main thread... closing server.

自己curl https://status.gradio.app 是有结果的，没问题的

Expected Behavior

Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app
^CKeyboard interruption in main thread... closing server.

Steps To Reproduce

Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app
^CKeyboard interruption in main thread... closing server.

Environment

- OS:linux centos
- Python:3.7.9
- Transformers:4.27.1
- PyTorch:1.13.1
- CUDA Support (`python -c "import torch; print(torch.cuda.is_available())"`) : True

Anything else?

no

[wzhiqing]

我也遇到一样的问题，有人知道怎么解决么？

[xiaoToby]

Is there an existing issue for this?

• I have searched the existing issues

Current Behavior

我这边，运行web_demo.py 修改下面的share参数为True,如下：

demo.queue().launch(share=True, inbrowser=True)

但是报错： Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:15<00:00, 1.90s/it] Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.

自己curl https://status.gradio.app 是有结果的，没问题的

Expected Behavior

Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.

Steps To Reproduce

Running on local URL: http://127.0.0.1:7860

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.

Environment

- OS:linux centos
- Python:3.7.9
- Transformers:4.27.1
- PyTorch:1.13.1
- CUDA Support (`python -c "import torch; print(torch.cuda.is_available())"`) : True

Anything else?

no

如果是公网，你需要去gradio升级用户权限(给money)
如果是局域网内分享，在demo.queue().launch(server_name='0.0.0.0',server_port = xxxx), 端口也可以是使用默认的7860. 其他用户就能通过访问你的IP:Port访问gradio

[ArlanCooper]

是局域网分享，不管端口号设定成什么样，都是无法生成分享的，ip:port无法分享的

[BillLucky]

Is there an existing issue for this?

• I have searched the existing issues

Current Behavior

我这边，运行web_demo.py 修改下面的share参数为True,如下：

demo.queue().launch(share=True, inbrowser=True)

但是报错： Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:15<00:00, 1.90s/it] Running on local URL: http://127.0.0.1:7860
Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.
自己curl https://status.gradio.app 是有结果的，没问题的

Expected Behavior

Running on local URL: http://127.0.0.1:7860
Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.

Steps To Reproduce

Running on local URL: http://127.0.0.1:7860
Could not create share link. Please check your internet connection or our status page: https://status.gradio.app ^CKeyboard interruption in main thread... closing server.

Environment

- OS:linux centos
- Python:3.7.9
- Transformers:4.27.1
- PyTorch:1.13.1
- CUDA Support (`python -c "import torch; print(torch.cuda.is_available())"`) : True

Anything else?

no

如果是公网，你需要去gradio升级用户权限(给money) 如果是局域网内分享，在demo.queue().launch(server_name='0.0.0.0',server_port = xxxx), 端口也可以是使用默认的7860. 其他用户就能通过访问你的IP:Port访问gradio

赞一个，好使。

[wml1993]

你们慢吗？用web感觉速度很慢啊，一个个字输出，一个句子要两分钟以上。

[BillLucky]

你们慢吗？用web感觉速度很慢啊，一个个字输出，一个句子要两分钟以上。

推理用了几张卡？什么卡？

[Duanexiao]

我也遇到一样的问题，有人知道怎么解决么？

只要能访问外网，手动下载frpc工具就好了。比如这个：
/root/miniconda3/lib/python3.9/site-packages/gradio/frpc_linux_amd64_v0.2
路径换成对应的，frpc_linux_amd64_v0.2是从/root/miniconda3/lib/python3.9/site-packages/gradio/tunneling.py文件可以
看出这个文件名。下载好后记得赋予文件执行权限，chmod +x frpc_linux_amd64_v0.2既可

[datuizhuang]

我也遇到一样的问题，有人知道怎么解决么？

只要能访问外网，手动下载frpc工具就好了。比如这个： /root/miniconda3/lib/python3.9/site-packages/gradio/frpc_linux_amd64_v0.2 路径换成对应的，frpc_linux_amd64_v0.2是从/root/miniconda3/lib/python3.9/site-packages/gradio/tunneling.py文件可以 看出这个文件名。下载好后记得赋予文件执行权限，chmod +x frpc_linux_amd64_v0.2既可

这个文件下载提示有病毒啊，会不会在服务器上造成啥漏洞。。。公司可不敢乱试