[Bug]: !python launch.py --share not launchign gradio

Nobody has claimed this yet.

### Checklist

- [X] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [X] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

!python launch.py --share not launching gradio

### Steps to reproduce the problem

!pip install pygit2==1.12.2
%cd /content
!git clone https://github.com/lllyasviel/stable-diffusion-webui-forge
%cd /content/stable-diffusion-webui-forge
!python launch.py --share

### What should have happened?

I used this code a lot of times to start forge on google colab, but now the gradio user interface doesn't launch for some reason and I get no errors

`content/stable-diffusion-webui-forge
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Legacy Preprocessor init warning: Unable to install insightface automatically. Please try run `pip install insightface` manually.
Launching Web UI with arguments: --share
Total VRAM 22700 MB, total RAM 64312 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA L4 : native
VAE dtype: torch.bfloat16
CUDA Stream Activated: False
2024-04-29 21:39:42.028488: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-04-29 21:39:42.028539: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-04-29 21:39:42.030333: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-04-29 21:39:43.331555: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Using pytorch cross attention
ControlNet preprocessor location: /content/stable-diffusion-webui-forge/models/ControlNetPreprocessor
Loading weights [15012c538f] from /content/stable-diffusion-webui-forge/models/Stable-diffusion/realisticVisionV51_v51VAE.safetensors
2024-04-29 21:39:48,413 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL: http://127.0.0.1:7860/
model_type EPS
UNet ADM Dimension 0
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 22508.8740234375
[Memory Management] Model Memory (MB) = 454.2076225280762
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 21030.666400909424
Moving model(s) has taken 0.10 seconds
Model loaded in 3.0s (load weights from disk: 1.2s, forge load real models: 1.1s, calculate empty prompt: 0.7s)`

### What browsers do you use to access the UI ?

Google Chrome

### Sysinfo

.

### Console logs

```Shell
content/stable-diffusion-webui-forge
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Legacy Preprocessor init warning: Unable to install insightface automatically. Please try run `pip install insightface` manually.
Launching Web UI with arguments: --share
Total VRAM 22700 MB, total RAM 64312 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA L4 : native
VAE dtype: torch.bfloat16
CUDA Stream Activated: False
2024-04-29 21:39:42.028488: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-04-29 21:39:42.028539: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-04-29 21:39:42.030333: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-04-29 21:39:43.331555: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Using pytorch cross attention
ControlNet preprocessor location: /content/stable-diffusion-webui-forge/models/ControlNetPreprocessor
Loading weights [15012c538f] from /content/stable-diffusion-webui-forge/models/Stable-diffusion/realisticVisionV51_v51VAE.safetensors
2024-04-29 21:39:48,413 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL: http://127.0.0.1:7860
model_type EPS
UNet ADM Dimension 0
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 22508.8740234375
[Memory Management] Model Memory (MB) = 454.2076225280762
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 21030.666400909424
Moving model(s) has taken 0.10 seconds
Model loaded in 3.0s (load weights from disk: 1.2s, forge load real models: 1.1s, calculate empty prompt: 0.7s)
```

### Additional information

_No response_

Start with launch.py and reproduce the reported Google Colab command using the supplied Python version and commit. Trace startup after the “Running on local URL” message and determine why the shared Gradio interface is not exposed; done means --share provides an accessible UI without startup errors.

Written by the indexing model from the issue text.