Spaces:
Sleeping
Sleeping
| import gradio as gr | |
| from transformers import pipeline | |
| import os | |
| def transcribe(audio, language): | |
| model_map = { | |
| "hausa": "asr-africa/wav2vec2-xls-r-1b-naijavoices-hausa-500hr-v0", | |
| "igbo": "asr-africa/wav2vec2-xls-r-1b-naijavoices-igbo-500hr-v0", | |
| "yoruba": "asr-africa/wav2vec2-xls-r-1b-naijavoices-yoruba-500hr-v0", | |
| "zulu": "asr-africa/W2V2-Bert_nchlt_speech_corpus_Fleurs_ZULU_63hr_v1", | |
| "xhosa": "asr-africa/wav2vec2_xls_r_300m_nchlt_speech_corpus_Fleurs_XHOSA_63hr_v1", | |
| "afrikaans": "asr-africa/mms-1B_all_nchlt_speech_corpus_Fleurs_CV_AFRIKAANS_57hr_v1", | |
| "bemba": "asr-africa/whisper_BIG-C_BEMBA_189hr_v1", | |
| "shona": "asr-africa/W2V2_Bert_Afrivoice_FLEURS_Shona_100hr_v1", | |
| "luganda": "asr-africa/whisper-small-CV-Fleurs-lg-313hrs-v1", | |
| "swahili": "asr-africa/wav2vec2-xls-r-300m-CV_Fleurs_AMMI_ALFFA-sw-400hrs-v1", | |
| "lingala": "asr-africa/wav2vec2-xls-r-300m-Fleurs_AMMI_AFRIVOICE_LRSC-ln-109hrs-v2", | |
| "amharic": "asr-africa/facebook-mms-1b-all-common_voice_fleurs-amh-200hrs-v1", | |
| "kinyarwanda": "asr-africa/facebook-mms-1b-all-common_voice_fleurs-rw-100hrs-v1", | |
| "oromo": "asr-africa/mms-1b-all-Sagalee-orm-85hrs-4", | |
| "akan": "asr-africa/wav2vec2-xls-r-akan-100-hours", | |
| "ewe": "asr-africa/wav2vec2-xls-r-ewe-100-hours", | |
| "wolof": "asr-africa/w2v2-bert-Wolof-20-hours-Google-Fleurs-ALF-dataset", | |
| "bambara": "asr-africa/mms-bambara-50-hours-mixed-bambara-dataset", | |
| } | |
| # load eval pipeline | |
| asr = pipeline("automatic-speech-recognition", model=model_map[language], device=0, token=os.getenv('HF_TOKEN')) | |
| text = asr(audio)["text"] | |
| return text | |
| asr_app = gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.Audio(sources=["upload", "microphone"], type="filepath"), | |
| gr.Dropdown( | |
| [ | |
| "hausa", | |
| "igbo", | |
| "yoruba", | |
| "zulu", | |
| "xhosa", | |
| "afrikaans", | |
| "bemba", | |
| "shona", | |
| "luganda", | |
| "swahili", | |
| "lingala", | |
| "amharic", | |
| "kinyarwanda", | |
| "oromo", | |
| "akan", | |
| "ewe", | |
| "wolof", | |
| "bambara", | |
| ] | |
| ), | |
| ], | |
| outputs="text", | |
| title="ASR Africa", | |
| description="This space serves as a realtime demo for automatic speech recognition models developed by Mak-CAD under the auspicies of Gates Foundation for 18 African languages using open source data.\ | |
| \nWe would appreciate your feedback on these models, you can share your feedback via this form https://forms.gle/RbzpwBFbC6Lcx5V78 :)" | |
| ) | |
| asr_app.launch() | |