File size: 1,296 Bytes
fb86baf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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>"
    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()