| import gradio as gr | |
| import nemo.collections.asr as nemo_asr | |
| from pydub import AudioSegment | |
| import pyaudioconvert as pac | |
| hf_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained( | |
| model_name="mbazaNLP/stt_rw_sw_lg_conformer_ctc_large") | |
| def convert (audio): | |
| file_name = audio.name | |
| if file_name.endswith("mp3") or file_name.endswith("wav") or file_name.endswith("ogg"): | |
| if file_name.endswith("mp3"): | |
| sound = AudioSegment.from_mp3(audio.name) | |
| sound.export(audio.name, format="wav") | |
| elif file_name.endswith("ogg"): | |
| sound = AudioSegment.from_ogg(audio.name) | |
| sound.export(audio.name, format="wav") | |
| else: | |
| return False | |
| pac.convert_wav_to_16bit_mono(audio.name,audio.name) | |
| return True | |
| def transcribe(audio, audio_microphone): | |
| audio = audio_microphone if audio_microphone else audio | |
| if convert(audio)== False: | |
| return "The format must be mp3,wav and ogg" | |
| result= hf_model.transcribe([audio.name]) | |
| return result[0] | |
| gradio_ui = gr.Interface( | |
| fn=transcribe, | |
| title="East african languages Speech Recognition", | |
| description="Upload an audio clip or record from browser using microphone, and let AI do the hard work of transcribing. The supported languages are Kinyarwanda, Swahili and Luganda", | |
| inputs=[gr.inputs.Audio(label="Upload Audio File", type="filepath", optional=True), gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Record from microphone")], | |
| outputs=[gr.outputs.Textbox(label="Recognized speech")] | |
| ) | |
| gradio_ui.launch(enable_queue=True) |