I get this error in Start Web.. unable to make result audio file in google collab

I get this error in Start Web.. unable to make result audio file in google collab

2024-05-08 00:59:33 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2024-05-08 00:59:33 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"
2024-05-08 01:00:28 | INFO | fairseq.tasks.hubert_pretraining | current directory is /content/Retrieval-based-Voice-Conversion-WebUI
2024-05-08 01:00:28 | INFO | fairseq.tasks.hubert_pretraining | HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False}
2024-05-08 01:00:28 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False}
Traceback (most recent call last):
File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 158, in vc_single
audio_opt = vc.pipeline(
File "/content/Retrieval-based-Voice-Conversion-WebUI/vc_infer_pipeline.py", line 210, in pipeline
audio = signal.filtfilt(bh, ah, audio)
File "/usr/local/lib/python3.10/dist-packages/scipy/signal/_signaltools.py", line 4159, in filtfilt
edge, ext = _validate_pad(padtype, padlen, x, axis,
File "/usr/local/lib/python3.10/dist-packages/scipy/signal/_signaltools.py", line 4209, in _validate_pad
raise ValueError("The length of the input vector x must be greater "
ValueError: The length of the input vector x must be greater than padlen, which is 18.

Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict
output = await app.blocks.process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1007, in process_api
data = self.postprocess_data(fn_index, result["prediction"], state)
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 953, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "/usr/local/lib/python3.10/dist-packages/gradio/components.py", line 2076, in postprocess
processing_utils.audio_to_file(sample_rate, data, file.name)
File "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py", line 206, in audio_to_file
data = convert_to_16_bit_wav(data)
File "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py", line 219, in convert_to_16_bit_wav
if data.dtype in [np.float64, np.float32, np.float16]:
AttributeError: 'NoneType' object has no attribute 'dtype'
2024-05-08 01:00:31 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
2024-05-08 01:00:31 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"

Run the reported Google Colab Start Web flow first, then inspect vc_infer_pipeline.py at line 210 and infer-web.py in vc_single where the traceback enters. Confirm the short-input failure is handled so a valid result audio file is returned instead of None, and verify the request no longer ends with HTTP 500.