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import gradio as gr
import ObjCharRec
from deep_translator import GoogleTranslator
import demo_app
import translate_speak
langs_list = GoogleTranslator().get_supported_languages()
langs_dict = GoogleTranslator().get_supported_languages(as_dict=True)
with gr.Blocks() as main_interface:
gr.Markdown("# OCR")
with gr.Tabs():
with gr.TabItem("Intro"):
pass
with gr.TabItem("Simple OCR"):
gr.Markdown("Paddle OCR")
with gr.Row():
with gr.Column():
image_input = gr.Image(label="Upload Image")
with gr.Row():
clear_btn = gr.ClearButton()
submit_btn = gr.Button("Submit")
output_text = gr.Text(label="Output")
submit_btn.click(fn=ObjCharRec.ocr_with_paddle, inputs=image_input, outputs=output_text)
clear_btn.click(lambda :[None, None], outputs=[image_input, output_text])
with gr.TabItem("translator"):
with gr.Row():
with gr.Column():
image_input = gr.Image(label="Upload Image")
with gr.Row():
clear_btn = gr.ClearButton()
submit_btn = gr.Button("Submit")
with gr.Column():
with gr.Row():
output_text = gr.Text(label="Output")
audio_out = gr.Audio(label="Streamed Audio")
lang_drop = gr.Dropdown(langs_dict, label="language", interactive=True)
translate_btn = gr.Button("Translate")
with gr.Row():
translated_txt = gr.Text(label="translated text")
translated_out = gr.Audio(label="Streamed Audio")
submit_btn.click(fn=ObjCharRec.ocr_with_paddle, inputs=image_input, outputs=[output_text, audio_out])
translate_btn.click(fn=translate_speak.translate_txt, inputs=[lang_drop, output_text], outputs=[translated_txt, translated_out])
clear_btn.click(lambda :[None]*5, outputs=[image_input, output_text, translated_txt, translated_out, audio_out])
if __name__ == "__main__":
main_interface.launch()
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