Update app.py

app.py

@@ -1,15 +1,19 @@
 import pandas as pd
-import numpy as np
 import PIL
 from PIL import Image
 from PIL import ImageDraw
 import gradio as gr
 import torch
 import easyocr
-import io
-import base64
 
-def draw_boxes(image, bounds, color='red', width=2):
+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')
+
+def draw_boxes(image, bounds, color='yellow', width=2):
     draw = ImageDraw.Draw(image)
     for bound in bounds:
         p0, p1, p2, p3 = bound[0]
@@ -22,22 +26,96 @@ def inference(img, lang):
     im = PIL.Image.open(img.name)
     draw_boxes(im, bounds)
     im.save('result.jpg')
+    return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
 
-    return [gr.Image('result.jpg'), pd.DataFrame(bounds).iloc[: , 1:]]
-
-choices = ["en", "vi"] 
-
-#gr.Interface(
-#    inference,
-#    inputs=[gr.Image(label='Input'),
-#            gr.CheckboxGroup(choices, type="value", label='language')],
-#    outputs=[gr.Image(label='Output'), 
-#             gr.Dataframe(headers=['text', 'confidence'])]
-#    ).launch(debug=True)
-
+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,
-    inputs=[gr.Image(label='Input'),
-            gr.CheckboxGroup(choices, type="value", label='language')],
-    outputs=gr.Image(label='Output')
+    [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'])],
+    enable_queue=True
     ).launch(debug=True)