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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'>"+f'Record for text {text} 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)
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) |