haha sorry i just couldn't unsee it. Ode2Torch might be a better name xD

This is cool but couldn't they have picked a better name 😂.

Cannot unsee: "torChode" sounds like some wordplay on the Tor project.

Definitely needs more development for robustness but otherwise a great start! I just got it working on a 1:30 video.

>Ran into same error now. Changing the model size worked somehow. I'm not sure what the problem is.
I tried it on my localhost many times. I think it might be related to huggingface spaces.

Interesting. What model size did you end up using? Did it work eventually on the huggingface spaces?

Great news! Different error this time:

https://www.youtube.com/watch?v=PlUvLBRwLbw

RuntimeError: The size of tensor a (316) must match the size of tensor b (3) at non-singleton dimension 3Traceback:File "/home/user/.local/lib/python3.8/site-packages/streamlit/scriptrunner/script_runner.py", line 554, in _run_scriptexec(code, module.__dict__)File "/home/user/app/app.py", line 258, in <module>main()File "/home/user/app/app.py", line 138, in mainresults = inference(link, loaded_model, task)File "/home/user/.local/lib/python3.8/site-packages/streamlit/legacy_caching/caching.py", line 573, in wrapped_funcreturn get_or_create_cached_value()File "/home/user/.local/lib/python3.8/site-packages/streamlit/legacy_caching/caching.py", line 557, in get_or_create_cached_valuereturn_value = func(*args, **kwargs)File "/home/user/app/app.py", line 81, in inferenceresults = loaded_model.transcribe(path, **options)File "/home/user/.local/lib/python3.8/site-packages/whisper/transcribe.py", line 181, in transcriberesult: DecodingResult = decode_with_fallback(segment)File "/home/user/.local/lib/python3.8/site-packages/whisper/transcribe.py", line 117, in decode_with_fallbackdecode_result = model.decode(segment, options)File "/home/user/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_contextreturn func(*args, **kwargs)File "/home/user/.local/lib/python3.8/site-packages/whisper/decoding.py", line 701, in decoderesult = DecodingTask(model, options).run(mel)File "/home/user/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_contextreturn func(*args, **kwargs)File "/home/user/.local/lib/python3.8/site-packages/whisper/decoding.py", line 633, in runtokens, sum_logprobs, no_speech_probs = self._main_loop(audio_features, tokens)File "/home/user/.local/lib/python3.8/site-packages/whisper/decoding.py", line 588, in _main_looplogits = self.inference.logits(tokens, audio_features)File "/home/user/.local/lib/python3.8/site-packages/whisper/decoding.py", line 145, in logitsreturn self.model.decoder(tokens, audio_features, kv_cache=self.kv_cache)File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_implreturn forward_call(*input, **kwargs)File "/home/user/.local/lib/python3.8/site-packages/whisper/model.py", line 189, in forwardx = block(x, xa, mask=self.mask, kv_cache=kv_cache)File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_implreturn forward_call(*input, **kwargs)File "/home/user/.local/lib/python3.8/site-packages/whisper/model.py", line 124, in forwardx = x + self.attn(self.attn_ln(x), mask=mask, kv_cache=kv_cache)File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_implreturn forward_call(*input, **kwargs)File "/home/user/.local/lib/python3.8/site-packages/whisper/model.py", line 85, in forwardwv = self.qkv_attention(q, k, v, mask)File "/home/user/.local/lib/python3.8/site-packages/whisper/model.py", line 97, in qkv_attentionqk = qk + mask[:n_ctx, :n_ctx]

Running into this issue:

https://imgur.com/a/sbhX9Xg

I tried running this video on it: https://www.youtube.com/watch?v=Mwt35SEeR9w