Update

app.py

@@ -5,6 +5,7 @@ from paddleocr import PaddleOCR, draw_ocr
 from PIL import Image
 import gradio as gr
 import torch
+import matplotlib.pylab as plt
 
 torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
 
@@ -15,7 +16,7 @@ EMPTY = ' ' # Better than '.' for printing
 
 
 
-def solve(data, part_2 = False):
+def solve(data):
     cycle = 0
     sprite = 1 # middle position, we have pixels at 0 and 2
     total = 0
@@ -51,9 +52,6 @@ def solve(data, part_2 = False):
 
     # Bonus: make an image and then use OCR
     # to extract the text.
-    from PIL import Image
-    import numpy as np
-    import matplotlib.pylab as plt
     img = np.array(crt)
 
     plt.imshow(img, cmap="binary")
@@ -72,21 +70,19 @@ def solve(data, part_2 = False):
                        font_path='simfang.ttf')
     im_show = Image.fromarray(im_show)
     im_show.save('result.jpg')
-    return 'result.jpg' 
+    return 'result.jpg'
 
 title = 'PaddleOCR'
-description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese.To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
-article = "<p style='text-align: center'><a href='https://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
-examples = [['example.jpg','en']]
-css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
+description = 'Day 10 2022 AoC using OCR!!!'
+article = "<p style='text-align: center'>Day 10 2022 AoC using OCR!!!</p>"
+css = ".output_image {height: 40rem !important; width: 100% !important;}"
 gr.Interface(
     solve,
-    [gr.File(file_types='text', label='Input'),
-    gr.outputs.Image(type='file', label='Output')],
+    [gr.File(file_types='text', label='Input')],
+    gr.outputs.Image(type='file', label='Output'),
     title=title,
     description=description,
     article=article,
-    examples=examples,
     css=css,
     enable_queue=True
     ).launch(debug=True)