runtime error

model.safetensors: 86%|████████▌ | 325M/378M [00:10<00:01, 36.6MB/s] Downloading model.safetensors: 89%|████████▉ | 336M/378M [00:10<00:00, 43.9MB/s] Downloading model.safetensors: 92%|█████████▏| 346M/378M [00:10<00:00, 45.3MB/s] Downloading model.safetensors: 94%|█████████▍| 357M/378M [00:11<00:00, 40.3MB/s] Downloading model.safetensors: 97%|█████████▋| 367M/378M [00:11<00:00, 48.2MB/s] Downloading model.safetensors: 100%|█████████▉| 377M/378M [00:11<00:00, 42.8MB/s] Downloading model.safetensors: 100%|██████████| 378M/378M [00:11<00:00, 32.4MB/s] Some weights of the model checkpoint at facebook/wav2vec2-base-960h were not used when initializing Wav2Vec2ForCTC: ['wav2vec2.encoder.pos_conv_embed.conv.weight_g', 'wav2vec2.encoder.pos_conv_embed.conv.weight_v'] - This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/home/user/app/app.py", line 62, in <module> inputs = gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Speaker"), AttributeError: module 'gradio' has no attribute 'inputs'

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