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import gradio as gr
import requests
from AuthVerification import auth_verification
from MinimalScanner import instant_predict
title = "Minimal Scanner, by Proppos"
def js_to_prefere_the_back_camera_of_mobilephones():
custom_html = """
<script>
const originalGetUserMedia = navigator.mediaDevices.getUserMedia.bind(navigator.mediaDevices);
navigator.mediaDevices.getUserMedia = (constraints) => {
if (!constraints.video.facingMode) {
constraints.video.facingMode = {ideal: "environment"};
}
return originalGetUserMedia(constraints);
};
</script>
"""
return custom_html
def display_outputs(input_image):
try:
instant_predict(input_image)
return "Image correctly sent to scan with Proppos"
except Exception as e:
return f"Error: {e}"
with gr.Blocks(title=title, theme='huggingface', head=js_to_prefere_the_back_camera_of_mobilephones()) as demo_app:
with gr.Column():
input_image = gr.Image(type='pil', label='TAKE A PICTURE OF THE TRAY', sources=['webcam'])
output_comments = gr.Textbox(label='Comments')
input_image.change(display_outputs, inputs=[input_image], outputs=[output_comments])
demo_app.launch(auth=auth_verification)
# import gradio as gr
# import requests
# from AuthVerification import auth_verification
# inputs = [gr.Image(type='pil', label='TAKE A PICTURE OF THE TRAY', sources=['webcam', 'clipboard'])]
# outputs = [gr.Textbox(label='Comments')]
# title = "Minimalistic Scanner, by Proppos"
# def instant_predict(pil_image):
# """
# Request
# """
# print('Sending image to Proppos ...')
# return 'nice'
# def display_outputs(input_image: gr.Image):
# try:
# instant_predict(input_image)
# return "Image correctly sent to scann with Proppos"
# except Exception as e:
# return f"Error:{e}"
# demo_app = gr.Interface(
# fn=display_outputs,
# inputs=inputs,
# outputs=outputs,
# title=title,
# theme='huggingface'
# )
# demo_app.launch(auth=auth_verification) |