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| import gradio as gr | |
| import os | |
| HF_TOKEN = os.getenv('HF_TOKEN') | |
| callback = gr.HuggingFaceDatasetSaver(HF_TOKEN, "paulbauriegel/voice-coe-demo") | |
| sentences = \ | |
| {'en':[ | |
| "In winter, the dry leaves fly around in the air.", | |
| "The good old man broke through the ice with his horse and fell into the cold water.", | |
| "He always eats the eggs without salt and pepper.", | |
| "Good to know. Now I can fix the appointment.", | |
| "We find this approach is particularly effective at learning speech to text translation.", | |
| "Ever wonder what your Representative has been up to?", | |
| "The Wenker sheets are the data basis for Georg Wenker's language atlases", | |
| "At least she gets 7000 dollars in damages" | |
| ], | |
| 'de':[ | |
| "Im Winter fliegen die trocknen Blätter durch die Luft herum.", | |
| "Der gute alte Mann ist mit dem Pferde durch´s Eis gebrochen und in das kalte Wasser gefallen.", | |
| "Er isst die Eier immer ohne Salz und Pfeffer.", | |
| "Gut zu wissen. Jetzt kann ich den Termin vereinbaren.", | |
| "Wir haben festgestellt, dass dieser Ansatz besonders effektiv beim Erlernen der Sprache-zu-Text Übersetzung ist.", | |
| "Haben Sie sich jemals gefragt, was Ihr Abgeordneter so treibt?", | |
| "Die Wenkerbogen stellen die Datengrundlage für Georg Wenkers Sprachatlanten dar", | |
| "Zumindest bekommt sie 7000 Dollar Schmerzensgeld", | |
| ], | |
| 'ru': [ | |
| "Зимой сухие листья кружатся в воздухе.", | |
| "Старик провалился под лед на своем коне и упал в холодную воду.", | |
| "Он всегда ест яйца без соли и перца.", | |
| "Это важная информация.Теперь я могу назначить встречу.", | |
| "Мы считаем этот подход особенно эффективным при обучении переводу речи в текст.", | |
| "Вы когда-нибудь задумывались, чем занимается ваш представитель?", | |
| "Листы Венкера являются основой данных для языковых атласов Георга Венкера.", | |
| "По крайней мере, она получает 7000 долларов в качестве возмещения ущерба." | |
| ], | |
| 'sk':[ | |
| "V zime lietajú suché listy vzduchom.", | |
| "Starček prerazil ľad so svojím koňom a spadol do studenej vody.", | |
| "Vajcia vždy konzumuje bez soli a korenia.", | |
| "Je dobré vedieť, že si teraz môžem dohodnúť stretnutie.", | |
| "Zistili sme, že tento prístup je obzvlášť efektívny pri učení sa prekladu reči do textu.", | |
| "Premýšľali ste niekedy, čo chystá váš poslanec?", | |
| "Wenkerove hárky predstavujú základ dát jazykových atlasov Georga Wenkera", | |
| "Aspoň dostane ako bolestné najmenej 7000 dolárov", | |
| ]} | |
| with gr.Blocks(title='Voice CoE Data Collection') as demo: | |
| _ = gr.HTML('<center><h1>CoE Voice Data Collection</h1><center>') | |
| lang = gr.Dropdown( | |
| ["de", "en", "ru", "sk"], | |
| value='en', | |
| interactive=True, | |
| label="Choose your language", | |
| ) | |
| client_ip = gr.Label("", label="User-IP", visible=False) | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_0 = gr.Label(sentences['en'][0], label="") | |
| audio_0 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_1 = gr.Label(sentences['en'][1], label="") | |
| audio_1 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_2 = gr.Label(sentences['en'][2], label="") | |
| audio_2 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_3 = gr.Label(sentences['en'][3], label="") | |
| audio_3 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_4 = gr.Label(sentences['en'][4], label="") | |
| audio_4 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_5 = gr.Label(sentences['en'][5], label="") | |
| audio_5 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_6 = gr.Label(sentences['en'][6], label="") | |
| audio_6 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| #outputs = gr.components.Textbox(label=) | |
| label_7 = gr.Label(sentences['en'][7], label="") | |
| audio_7 = gr.Audio(source="microphone", type="filepath", label="Record sample") | |
| with gr.Row(): | |
| acc = gr.Dropdown( | |
| ["yes", "no", "maybe"], | |
| label="Do you have an accent in the spoken language", | |
| ) | |
| with gr.Row(): | |
| agree = gr.Checkbox(value=False, label='I agree that my data is stored and analysed by the iHub CoE Voice Team') | |
| with gr.Row(): | |
| btn = gr.Button("Submit data") | |
| thx = gr.HTML('') # | |
| lang.change(lambda x: {label_0: sentences[x][0], | |
| label_1: sentences[x][1], | |
| label_2: sentences[x][2], | |
| label_3: sentences[x][3], | |
| label_4: sentences[x][4], | |
| label_5: sentences[x][5], | |
| label_6: sentences[x][6], | |
| label_7: sentences[x][7], }, | |
| lang, | |
| [label_0, label_1, label_2, label_3, | |
| label_4, label_5, label_6, label_7]) | |
| # This needs to be called at some point prior to the first call to callback.flag() | |
| callback.setup([client_ip, lang, audio_0, audio_1, audio_2, audio_3, audio_4, audio_5, audio_6, audio_7, acc], "flagged_data_points") | |
| # We can choose which components to flag -- in this case, we'll flag all of them | |
| def submit_data(client_ip, lang, audio_0, audio_1, audio_2, audio_3, audio_4, audio_5, audio_6, audio_7, acc, agree, request: gr.Request): | |
| if not agree: | |
| return '<h3>No data has been submitted</h3>' | |
| else: | |
| client_ip_d = {'ip': request.client.host} | |
| callback.flag([client_ip_d, lang, audio_0, audio_1, audio_2, audio_3, audio_4, audio_5, audio_6, audio_7, acc]) | |
| return '<h3>Thank you for submitting you data</h3>' | |
| btn.click(submit_data, | |
| [client_ip, lang, audio_0, audio_1, audio_2, audio_3, audio_4, audio_5, audio_6, audio_7, acc, agree], | |
| thx, | |
| preprocess=False) | |
| demo.launch() | |