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| import os | |
| import csv | |
| import pandas as pd | |
| import gradio as gr | |
| import huggingface_hub | |
| import scipy.io.wavfile as wavf | |
| from huggingface_hub import Repository | |
| from IPython.display import Audio | |
| from IPython.core.display import display | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| DATASET_REPO_URL = "https://huggingface.co/datasets/chrisjay/crowd-speech-africa" | |
| DATA_FILENAME = "data.csv" | |
| AUDIO_PATH = os.path.join("data",'wav') | |
| DATA_FILE = os.path.join("data", DATA_FILENAME) | |
| # Get a dropdown of all African languages | |
| DEFAULT_LANGS = {'Igbo':'ibo','Yoruba':'yor','Hausa':'hau'} | |
| repo = Repository( | |
| local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN | |
| ) | |
| #repo.git_pull() | |
| os.makedirs(AUDIO_PATH,exist_ok=True) | |
| def push_record(): | |
| # Push the wav to a folder and reference the location | |
| commit_url = repo.push_to_hub() | |
| output = f'Recordings successfully pushed!' | |
| output_string = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+output+"</div> </body> </html>" | |
| return output_string | |
| def save_record(language,text,record): | |
| # Save text and its corresponding record to flag | |
| if language!=None and language!='Choose language': | |
| lang_id = DEFAULT_LANGS[language] | |
| text =text.strip() | |
| # Write audio to file | |
| audio_output_filename = os.path.join(AUDIO_PATH,f'{len(os.listdir(AUDIO_PATH))}.wav') | |
| wavf.write(audio_output_filename,record[0],record[1]) | |
| with open(DATA_FILE, "a") as csvfile: | |
| writer = csv.DictWriter(csvfile, fieldnames=["language", "audio","text"]) | |
| writer.writerow( | |
| {"language": lang_id, "audio": audio_output_filename,"text": text} | |
| ) | |
| output = f'Recording successfully saved! Click `Push` when you are done to send your recordings to the repo.' | |
| else: | |
| 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 | |
| def display_records(): | |
| df = pd.read_csv(DATA_FILE) | |
| #df['audio'] = df['audio'].apply(lambda x: display(Audio(x,autoplay=True))) | |
| langs=df['language'].values | |
| audios = df['audio'].values | |
| texts=df['text'].values | |
| return langs[0],audios[0],texts[0] | |
| #return df | |
| title = 'African Crowdsource Speech' | |
| description = 'A platform to contribute to your African language by recording your voice' | |
| markdown = """# Africa Crowdsource Speech | |
| ### a platform to contribute to your African language by recording your voice""" | |
| # 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 = list(DEFAULT_LANGS.keys()),label="language",default="Choose language") | |
| text = gr.inputs.Textbox(placeholder='Write your text',label="text to record") | |
| record = gr.inputs.Audio(source="microphone",label='Record your voice') | |
| output_result = gr.outputs.HTML() | |
| save = gr.Button("Save") | |
| push = gr.Button('Push') | |
| save.click(save_record, inputs=[language,text,record],outputs=output_result) | |
| push.click(push_record, inputs=[],outputs=output_result) | |
| with gr.TabItem('Listen') as listen_tab: | |
| gr.Markdown("Listen to the recordings contributed. You can find them [here](https://huggingface.co/datasets/chrisjay/crowd-speech-africa).") | |
| listen = gr.Button("Listen") | |
| listen.click(display_records,inputs=[],outputs =[gr.outputs.Textbox(label='language'),gr.outputs.Audio(),gr.outputs.Textbox(label='text')] ) | |
| block.launch(enable_queue=True) |