| import transformers | |
| from transformers import pipeline | |
| import gradio as gr | |
| import os | |
| import sys | |
| os.system("pip install evaluate") | |
| os.system("pip install datasets") | |
| os.system("pip install spicy") | |
| os.system("pip install soundfile") | |
| os.system("pip install datasets[audio]") | |
| #os.system("pip install numpy==1.21.4") | |
| #os.system("pip install numpy==1.22.1") | |
| os.system("pip install numba==0.51.2") | |
| from evaluate import evaluator | |
| from datasets import load_dataset, Audio | |
| p = pipeline("automatic-speech-recognition") | |
| task_evaluator = evaluator("automatic-speech-recognition") | |
| #url = {"test" : "https://huggingface.co/datasets/mskov/miso_test/blob/main/test_set.parquet"} | |
| #data = load_dataset("audiofolder", data_dir="mskov/miso_test") | |
| # data = load_dataset("audiofolder", data_files=["datasets/mskov/miso_test/test_set/and.wav","mskov/miso_test/test_set/chew1.wav","mskov/miso_test/test_set/chew3.wav", "mskov/miso_test/test_set/chew3.wav","mskov/miso_test/test_set/chew4.wav","mskov/miso_test/test_set/cough1.wav","mskov/miso_test/test_set/cough2.wav","mskov/miso_test/test_set/cough3.wav","mskov/miso_test/test_set/hi.wav","mskov/miso_test/test_set/knock_knock.wav","mskov/miso_test/test_set/mouth_sounds1.wav","mskov/miso_test/test_set/mouth_sounds2.wav","mskov/miso_test/test_set/no.wav","mskov/miso_test/test_set/not_bad.wav","mskov/miso_test/test_set/oh_i_wish.wav","mskov/miso_test/test_set/pop1.wav","mskov/miso_test/test_set/really.wav","mskov/miso_test/test_set/sigh1.wav","mskov/miso_test/test_set/sigh2.wav","mskov/miso_test/test_set/slurp1.wav","mskov/miso_test/test_set/slurp2.wav","mskov/miso_test/test_set/sneeze1.wav","mskov/miso_test/test_set/sneeze2.wav","mskov/miso_test/test_set/so_i_did_it_again.wav"]) | |
| dataset = load_dataset("mskov/miso_test", split="test").cast_column("audio", Audio()) | |
| results = task_evaluator.compute( | |
| model_or_pipeline="https://huggingface.co/mskov/whisper_esc50", | |
| data=dataset, | |
| input_column="audio", | |
| label_column="audio", | |
| metric="wer", | |
| ) | |
| print(results) | |
| def transcribe(audio, state=""): | |
| text = p(audio)["text"] | |
| state += text + " " | |
| return state, state | |
| gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.Audio(source="microphone", type="filepath", streaming=True), | |
| "state" | |
| ], | |
| outputs=[ | |
| "textbox", | |
| "state" | |
| ], | |
| live=True).launch() | |