Spaces:
Build error
Build error
| import os | |
| import csv | |
| import pandas as pd | |
| import gradio as gr | |
| from utils import * | |
| import scipy.io.wavfile as wavf | |
| from huggingface_hub import Repository, upload_file | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| DATASET_REPO_URL = "https://huggingface.co/datasets/chrisjay/crowd-speech-africa" | |
| #DATA_FILENAME = "data.csv" | |
| REPOSITORY_DIR = "data" | |
| LOCAL_DIR = 'data_local' | |
| #DATA_FILE = os.path.join("data", DATA_FILENAME) | |
| os.makedirs(LOCAL_DIR,exist_ok=True) | |
| # Get a dropdown of all African languages | |
| #DEFAULT_LANGS = {'Igbo':'ibo','Yoruba':'yor','Hausa':'hau'} | |
| GENDER = ['Choose Gender','Male','Female','Other','Prefer not to say'] | |
| NUMBERS = [i for i in range(21)] | |
| #------------------Work on Languages-------------------- | |
| DEFAULT_LANGS = {} | |
| languages = read_json_lines('clean_languages.json') | |
| languages_lower=[l for l in languages] | |
| _ = [DEFAULT_LANGS.update({l['full'].lower():l['id'].lower()}) for l in languages_lower] | |
| #_ = [DEFAULT_LANGS.update({l_other.lower():[l['id'].lower()]}) for l in languages_lower for l_other in l['others'] if l_other.lower()!=l['full'].lower()] | |
| #------------------Work on Languages-------------------- | |
| repo = Repository( | |
| local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN | |
| ) | |
| repo.git_pull() | |
| def save_record(language,text,record,number,age,gender,accent,number_history): | |
| number_history = number_history or [0] | |
| # Save text and its corresponding record to flag | |
| speaker_metadata={} | |
| speaker_metadata['gender'] = gender if gender!=GENDER[0] else '' | |
| speaker_metadata['age'] = age if age !='' else '' | |
| speaker_metadata['accent'] = accent if accent!='' else '' | |
| if language!=None and language!='Choose language' and record is not None and number is not None: | |
| language = language.lower() | |
| lang_id = DEFAULT_LANGS[language] | |
| text =text.strip() | |
| # Write audio to file | |
| audio_name = get_unique_name() | |
| SAVE_FILE_DIR = os.path.join(LOCAL_DIR,audio_name) | |
| os.makedirs(SAVE_FILE_DIR,exist_ok=True) | |
| audio_output_filename = os.path.join(SAVE_FILE_DIR,'audio.wav') | |
| wavf.write(audio_output_filename,record[0],record[1]) | |
| # Write metadata.json to file | |
| json_file_path = os.path.join(SAVE_FILE_DIR,'metadata.jsonl') | |
| metadata= {'id':audio_name,'file_name':'audio.wav', | |
| 'language_name':language,'language_id':lang_id, | |
| 'number':number, 'text':text,'frequency':record[0], | |
| 'age': speaker_metadata['age'],'gender': speaker_metadata['gender'], | |
| 'accent': speaker_metadata['accent'] | |
| } | |
| dump_json(metadata,json_file_path) | |
| # Simply upload the audio file and metadata using the hub's upload_file | |
| # Upload the audio | |
| repo_audio_path = os.path.join(REPOSITORY_DIR,os.path.join(audio_name,'audio.wav')) | |
| _ = upload_file(path_or_fileobj = audio_output_filename, | |
| path_in_repo =repo_audio_path, | |
| repo_id='chrisjay/crowd-speech-africa', | |
| repo_type='dataset', | |
| token=HF_TOKEN | |
| ) | |
| # Upload the metadata | |
| repo_json_path = os.path.join(REPOSITORY_DIR,os.path.join(audio_name,'metadata.jsonl')) | |
| _ = upload_file(path_or_fileobj = json_file_path, | |
| path_in_repo =repo_json_path, | |
| repo_id='chrisjay/crowd-speech-africa', | |
| repo_type='dataset', | |
| token=HF_TOKEN | |
| ) | |
| output = f'Recording successfully saved!' | |
| if number is None: | |
| output = "Number must be specified!" | |
| if record is None: | |
| output="No recording found!" | |
| if language is None or language=='Choose language': | |
| output = 'Language must be specified!' | |
| output_string = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+output+"</div> </body> </html>" | |
| # return output_string, next image and state | |
| return output_string | |
| def display_records(): | |
| repo.git_pull() | |
| REPOSITORY_DATA_DIR = os.path.join(REPOSITORY_DIR,'data') | |
| repo_recordings = [os.path.join(REPOSITORY_DATA_DIR,f.name) for f in os.scandir(REPOSITORY_DATA_DIR)] if os.path.isdir(REPOSITORY_DATA_DIR) else [] | |
| audio_repo = [os.path.join(f,'audio.wav') for f in repo_recordings] | |
| audio_repo = [a.replace('data/data/','https://huggingface.co/datasets/chrisjay/crowd-speech-africa/resolve/main/data/') for a in audio_repo] | |
| metadata_repo = [read_json_lines(os.path.join(f,'metadata.jsonl'))[0] for f in repo_recordings] | |
| audios_all = audio_repo | |
| metadata_all = metadata_repo | |
| langs=[m['language_name'] for m in metadata_all] | |
| audios = [a for a in audios_all] | |
| texts = [m['text'] for m in metadata_all] | |
| html = """<div> | |
| <table style="width:100%; text-align:center"> | |
| <tr> | |
| <th>language</th> | |
| <th>audio</th> | |
| <th>text</th> | |
| </tr>""" | |
| for lang, audio, text in zip(langs,audios,texts): | |
| html+= f"""<tr> | |
| <td>{lang}</td> | |
| <td><audio controls><source src="{audio}" type="audio/wav"> </audio></td> | |
| <td>{text}</td> | |
| </tr>""" | |
| html+="</table></div>" | |
| return html | |
| NUMBER_DIR = './number' | |
| number_files = [f.name for f in os.scandir(NUMBER_DIR)] | |
| NUMBERS = [{'image':os.path.join(NUMBER_DIR,f),'number':int(f.split('.')[0])} for f in number_files] | |
| markdown = """<div style="text-align: center"><p style="font-size: 40px"> Africa Crowdsource Speech </p> <br> | |
| This is a platform to contribute to your African language by recording your voice </div>""" | |
| # Interface design begins | |
| block = gr.Blocks() | |
| with block: | |
| gr.Markdown(markdown) | |
| with gr.Tabs(): | |
| with gr.TabItem('Record'): | |
| with gr.Row(): | |
| language = gr.inputs.Dropdown(choices = sorted([lang_.title() for lang_ in list(DEFAULT_LANGS.keys())]),label="Choose language",default="Choose language") | |
| age = gr.inputs.Textbox(placeholder='e.g. 21',label="Your age (optional)",default='') | |
| gender = gr.inputs.Dropdown(choices=GENDER, type="value", default=None, label="Gender (optional)") | |
| accent = gr.inputs.Textbox(label="Accent (optional)",default='') | |
| number = gr.Image('number/0.jpg',image_mode="L") | |
| #number = gr.inputs.Radio(choices=NUMBERS, type="value", default=None, label="Choose your number") | |
| text = gr.inputs.Textbox(placeholder='e.g. `one` is `otu` in Igbo or `ọkan` in Yoruba',label="Number in your language") | |
| record = gr.inputs.Audio(source="microphone",label='Record your voice') | |
| output_result = gr.outputs.HTML() | |
| state = gr.inputs.State() | |
| save = gr.Button("Submit") | |
| save.click(save_record, inputs=[language,text,record,number,age,gender,accent,state],outputs=[output_result,number,state]) | |
| with gr.TabItem('Listen') as listen_tab: | |
| gr.Markdown("Listen to the recordings contributed. You can find them <a href='https://huggingface.co/datasets/chrisjay/crowd-speech-africa' target='blank'>here</a>.") | |
| listen = gr.Button("Listen") | |
| listen.click(display_records,inputs=[],outputs=gr.outputs.HTML() ) | |
| block.launch() |