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| 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 = "<html> <body> <div class='output' style='color:green; font-size:13px'>"+f'Recording for text <i>{text}</i> successfully saved to dataset! Thank You.'+"</div> </body> </html>" | |
| 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) | |
| block.launch(enable_queue=True) |