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.'+"

" 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 block = gr.Blocks() with block: gr.Markdown(markdown) with gr.Tab('version1'): #with gr.Row(): language = gr.inputs.Textbox(placeholder='Choose your language') text = gr.inputs.Textbox(placeholder='Write your text') record = gr.inputs.Audio(source="microphone",label='Record your voice') output_result = gr.outputs.HTML() save = gr.Button("Save") save.click(get_record, inputs=[language,text,record],outputs=output_result) with gr.Tab('version2'): 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 = gr.outputs.HTML(), title=title, description=description, enable_queue=True, theme='huggingface' ).launch() block.launch(enable_queue=True)