fix gradio issue

app.py

@@ -3,130 +3,26 @@ import PIL
 from PIL import Image
 from PIL import ImageDraw
 import gradio as gr
-import torch
 import easyocr
 
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'english.png')
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/thai.jpg', 'thai.jpg')
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/french.jpg', 'french.jpg')
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/chinese.jpg', 'chinese.jpg')
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/japanese.jpg', 'japanese.jpg')
-torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/korean.png', 'korean.png')
-torch.hub.download_url_to_file('https://i.imgur.com/mwQFd7G.jpeg', 'Hindi.jpeg')
-
-def draw_boxes(image, bounds, color='yellow', width=2):
+def draw_boxes(image, bounds, color='yellow', width = 2):
     draw = ImageDraw.Draw(image)
     for bound in bounds:
         p0, p1, p2, p3 = bound[0]
-        draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)
+        draw.line([*p0, *p1, *p2, *p3, *p0], fill = color, width = width)
     return image
 
-def inference(img, lang):
-    reader = easyocr.Reader(lang)
+def inference(img):
+    reader = easyocr.Reader(['en'])
     bounds = reader.readtext(img.name)
     im = PIL.Image.open(img.name)
     draw_boxes(im, bounds)
     im.save('result.jpg')
     return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
 
-title = 'EasyOCR'
-description = 'Gradio demo for EasyOCR. EasyOCR demo supports 80+ languages.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.jaided.ai/easyocr/'>Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.</a> | <a href='https://github.com/JaidedAI/EasyOCR'>Github Repo</a></p>"
-examples = [['english.png',['en']],['thai.jpg',['th']],['french.jpg',['fr', 'en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['korean.png',['ko', 'en']],['Hindi.jpeg',['hi', 'en']]]
-css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
-choices = [
-    "abq",
-    "ady",
-    "af",
-    "ang",
-    "ar",
-    "as",
-    "ava",
-    "az",
-    "be",
-    "bg",
-    "bh",
-    "bho",
-    "bn",
-    "bs",
-    "ch_sim",
-    "ch_tra",
-    "che",
-    "cs",
-    "cy",
-    "da",
-    "dar",
-    "de",
-    "en",
-    "es",
-    "et",
-    "fa",
-    "fr",
-    "ga",
-    "gom",
-    "hi",
-    "hr",
-    "hu",
-    "id",
-    "inh",
-    "is",
-    "it",
-    "ja",
-    "kbd",
-    "kn",
-    "ko",
-    "ku",
-    "la",
-    "lbe",
-    "lez",
-    "lt",
-    "lv",
-    "mah",
-    "mai",
-    "mi",
-    "mn",
-    "mr",
-    "ms",
-    "mt",
-    "ne",
-    "new",
-    "nl",
-    "no",
-    "oc",
-    "pi",
-    "pl",
-    "pt",
-    "ro",
-    "ru",
-    "rs_cyrillic",
-    "rs_latin",
-    "sck",
-    "sk",
-    "sl",
-    "sq",
-    "sv",
-    "sw",
-    "ta",
-    "tab",
-    "te",
-    "th",
-    "tjk",
-    "tl",
-    "tr",
-    "ug",
-    "uk",
-    "ur",
-    "uz",
-    "vi"
-]
-gr.Interface(
-    inference,
-    [gr.inputs.Image(type='file', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['en'], label='language')],
-    [gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])],
-    title=title,
-    description=description,
-    article=article,
-    examples=examples,
-    css=css,
-    enable_queue=True
-    ).launch(debug=True)
+title = '车架号识别展示'
+description = '拖拽图片到识别区开始分析'
+ip = [gr.Image(sources = ['upload'], label = '上传图片', width = "100%", height = "40rem")]
+op = [gr.Image(sources = [], label = '处理结果', width = "100%", height = "40rem"), gr.Dataframe(col_count = 1, show_label = False)]
+gif = gr.Interface(fn = inference, inputs = ip, outputs = op, title = title, description = description, batch = False, flagging_mode='never')
+gif.launch()

requirements.txt

@@ -1,5 +1,5 @@
+pandas
 opencv-python-headless
 Pillow
 gradio
-torch
 easyocr