import os import gradio as gr #HF_TOKEN = os.environ.get("HF_TOKEN") #print("is none?", HF_TOKEN is None) def get_record(language,text,record): # Save text and its corresponding record to flag text =text.strip() #output_string = "

"+f'Record for text {text} successfully saved to dataset! Thank You.'+"

" output_string = f'Record for text - {text} - successfully saved to dataset! Thank You.' return output_string title = 'African Crowdsource Speech' description = 'A platform to contribute to your African language by recording your voice' markdown = """# African Crowdsource Speech A platform to contribute to your African language by recording your voice """ # Get a dropdown of all African languages # Interface design begins #import pdb; pdb.set_trace() iface = gr.Interface(fn=get_record, inputs=[gr.inputs.Textbox(placeholder='Choose your language'), gr.inputs.Textbox(placeholder='Write your text'), gr.inputs.Audio(source="microphone",label='Record your voice') ], outputs = "text", title=title, description=description, theme='huggingface' ) iface.launch()