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import os | |
import warnings | |
import gradio as gr | |
import re | |
HF_TOKEN = os.getenv('HW_TOKEN') | |
hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio_punjabi2") | |
cur_line=-1 | |
def readFile(): | |
f=open('punjabi_test_data2.txt') | |
line_num=0 | |
lines=f.readlines() | |
line_num = len(lines) | |
return line_num,lines | |
totlines,file_content=readFile() | |
callback = hf_writer | |
def readPromt(): | |
global cur_line | |
cur_line+=1 | |
global file_content | |
print (cur_line) | |
return file_content[cur_line] | |
def readNext(): | |
global totlines | |
print(totlines) | |
global cur_line | |
if cur_line<totlines-1: | |
cur_line+=1 | |
global file_content | |
print (cur_line) | |
return [file_content[cur_line],None] | |
def readPrevious(): | |
global cur_line | |
if cur_line>=0: | |
cur_line-=1 | |
#cur_line=current_line | |
global file_content | |
print (cur_line) | |
return [file_content[cur_line],None] | |
demo = gr.Blocks() | |
with demo: | |
#dr=gr.Dropdown(["Hindi","Odiya"],value="Odiya",label="Select Language") | |
#audio_file = gr.Audio(sources=["microphone","upload"],type="filepath") | |
text = gr.Textbox(readPromt()) | |
#allow_flagging="manual", | |
#flagging_callback=hf_writer | |
upfile = gr.Audio( | |
sources=["microphone","upload"], type="filepath", label="Record" | |
) | |
#upfile = gr.inputs.Audio(source="upload", type="filepath", label="Upload") | |
with gr.Row(): | |
b1 = gr.Button("Save") | |
b2 = gr.Button("Next") | |
b3 = gr.Button("Previous") | |
#b4=gr.Button("Clear") | |
b2.click(readNext,inputs=None,outputs=[text,upfile]) | |
b3.click(readPrevious,inputs=None,outputs=[text,upfile]) | |
#b4.click(lambda: None, outputs=upfile) | |
# b1.click(sel_lng, inputs=[dr,mic,upfile], outputs=text) | |
#b2.click(text_to_sentiment, inputs=text, outputs=label) | |
callback.setup([text, upfile], "flagged_audio_files") | |
#callback.setup([text, upfile], hf_writer) | |
b1.click(lambda *args: callback.flag(args), [text, upfile], None, preprocess=False) | |
#flagging_callback=hf_writer | |
#b1.click(lambda *args: hf_writer, [text, upfile], None, preprocess=False) | |
#b1.click(lambda *args: hf_writer, [text, upfile]) | |
demo.launch() | |