pragnakalp commited on
Commit
20200de
1 Parent(s): 58eef77

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +30 -6
app.py CHANGED
@@ -197,14 +197,38 @@ def one_shot(image,input_text,gender):
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  cmd='ffmpeg -i /content/audio_before.wav -filter:a "atempo=0.7" -vn /content/audio.wav'
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  os.system(cmd)
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  one_shot_talking(image,'audio.wav')
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-
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- image = gr.Image(show_label=True, type="filepath",label="Input Image")
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- input_text=gr.Textbox(lines=3, value="Hello How are you?", label="Input Text")
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- gender = gr.Radio(["Female","Male"],value="Female",label="Gender")
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- output = gr.Video(show_label=True,label="Output")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- demo = gr.Interface(one_shot,[image,input_text,gender],[output],title="One Shot Talking Face from Text",)
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  demo.launch(enable_queue = False)
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  cmd='ffmpeg -i /content/audio_before.wav -filter:a "atempo=0.7" -vn /content/audio.wav'
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  os.system(cmd)
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  one_shot_talking(image,'audio.wav')
 
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+ def generate_ocr(method,image):
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+ return "Hello"
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+ """
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+ Create user interface for OCR demo
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+ """
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+
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+ image = gr.Image(shape=(300, 300))
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+ method = gr.Radio(["PaddleOCR","EasyOCR", "KerasOCR"],value="PaddleOCR")
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+ output = gr.Textbox(label="Output")
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+
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+ demo = gr.Interface(
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+ generate_ocr,
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+ [method,image],
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+ output,
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+ title="Optical Character Recognition",
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+ css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}",
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+ article = """<p style='text-align: center;'>Feel free to give us your thoughts on this demo and please contact us at
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+ <a href="mailto:letstalk@pragnakalp.com" target="_blank">letstalk@pragnakalp.com</a>
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+ <p style='text-align: center;'>Developed by: <a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>"""
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+
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+ )
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  demo.launch(enable_queue = False)
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+
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+ # image = gr.Image(show_label=True, type="filepath",label="Input Image")
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+ # input_text=gr.Textbox(lines=3, value="Hello How are you?", label="Input Text")
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+ # gender = gr.Radio(["Female","Male"],value="Female",label="Gender")
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+ # output = gr.Video(show_label=True,label="Output")
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+
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+ # demo = gr.Interface(one_shot,[image,input_text,gender],[output],title="One Shot Talking Face from Text",)
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+ # demo.launch(enable_queue = False)
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+