# Space is displaying infinitely loading while status is "Running"

**URL:** <https://discuss.huggingface.co/t/space-is-displaying-infinitely-loading-while-status-is-running/18603>\
**Category:** Spaces\
**Created:** [June 1, 2022, 8:35am UTC](https://discuss.huggingface.co/t/space-is-displaying-infinitely-loading-while-status-is-running/18603 "2022-06-01T08:35:00Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![YarrDOpanas](https://avatars.discourse-cdn.com/v4/letter/y/53a042/32.png) [@YarrDOpanas](https://discuss.huggingface.co/u/YarrDOpanas)\
**Post date:** [June 1, 2022, 8:35am UTC](https://discuss.huggingface.co/t/space-is-displaying-infinitely-loading-while-status-is-running/18603/1 "2022-06-01T08:35:00Z")

</div>

Hello everyone!

I fixed all issues regarding to migrating code of my project to Hugging Face Spaces until the status changed to `Running`. But it is loading infinitely that does not allow to see the Gradio ui. `Restarting this Space` or `Factory reboot this Space` didn’t help. I can’t make this repo public because of privacy policy of my company, but here is screenshot and logfile.

 ![hf](https://us1.discourse-cdn.com/hellohellohello/original/2X/5/55def434e7ebe481c71cb1b0b0330b4a60e0c2b5.png)

```auto
2022-06-01 07:45:33.676322: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2022-06-01 07:45:33.867863: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-06-01 07:45:33.867898: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Removing cache dir /home/user/.cache/youtube-dl ..
backbone params inited by Pytorch official model
Downloading: "https://download.pytorch.org/models/resnet101-5d3b4d8f.pth" to /home/user/.cache/torch/hub/checkpoints/resnet101-5d3b4d8f.pth

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/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect
  warnings.warn(value)
/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `numeric` parameter is deprecated, and it has no effect
  warnings.warn(value)
/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.
  warnings.warn(value)
Cache at /home/user/app/gradio_cached_examples/log.csv not found. Caching now in 'gradio_cached_examples/' directory.
2022-06-01 07:48:22.516779: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2022-06-01 07:48:22.516813: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-06-01 07:48:22.516843: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:163] no NVIDIA GPU device is present: /dev/nvidia0 does not exist
2022-06-01 07:48:22.517784: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:From /home/user/.local/lib/python3.8/site-packages/tensorflow/python/util/deprecation.py:629: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Use fn_output_signature instead
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:140: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  new_dict[LABELS[key]] = np.float(result_dict[key])
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:213: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  conf = np.float(conf)
app.py:277: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  scores = [np.float(x) for x in logit[logit > 0.7].cpu().detach().numpy()]
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:140: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  new_dict[LABELS[key]] = np.float(result_dict[key])
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:213: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  conf = np.float(conf)
app.py:277: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  scores = [np.float(x) for x in logit[logit > 0.7].cpu().detach().numpy()]
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:140: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  new_dict[LABELS[key]] = np.float(result_dict[key])
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
app.py:213: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  conf = np.float(conf)
app.py:277: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  scores = [np.float(x) for x in logit[logit > 0.7].cpu().detach().numpy()]
Running on local URL: http://localhost:7860/

To create a public link, set `share=True` in `launch()`.

```

---

<div class="post-metadata">

**Author:** ![YarrDOpanas](https://avatars.discourse-cdn.com/v4/letter/y/53a042/32.png) [@YarrDOpanas](https://discuss.huggingface.co/u/YarrDOpanas)\
**Post date:** [June 1, 2022, 3:12pm UTC](https://discuss.huggingface.co/t/space-is-displaying-infinitely-loading-while-status-is-running/18603/2 "2022-06-01T15:12:38Z")

</div>

Found solution. It was because of stacking several functions together. After UI update Gradio doesn’t accept something like

```auto
model_iface = gr.Interface(
    fn=[your_function_1, your_function_2],
    inputs=gr.inputs.Textbox(),
    outputs=gr.outputs.Label(num_top_classes=10),
    examples=[["first example"],
              ["second example"]]
)
model_iface.launch()

```

It should use `gr.Parallel()` instead. So the final code should be

```auto
model_1_iface = gr.Interface(
    fn=your_function_1,
    inputs=gr.inputs.Textbox(),
    outputs=gr.outputs.Label(num_top_classes=10)
)

model_2_iface = gr.Interface(
    fn= your_function_2,
    inputs=gr.inputs.Textbox(),
    outputs=gr.outputs.Label(num_top_classes=10),

)

combined_url_iface = gr.Parallel(model_1_iface, model_2_iface, 
                      examples=[["first example"],
                                ["second example"]])
combined_url_iface.launch()

```