Basic implmentaiton of Tesseract copied from HF example

app.py

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+from PIL import Image
+import pytesseract
+import gradio as gr
+import os
+
+langs = []
+
+choices = os.popen("tesseract --list-langs").read().split("\n")[1:-1]
+
+blocks = gr.Blocks()
+
+
+# If you don't have tesseract executable in your PATH, include the following:
+# pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>'
+# Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'
+
+# Simple image to string
+# print(pytesseract.image_to_string(Image.open('eurotext.png')))
+
+# # French text image to string
+# print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))
+
+# # Get bounding box estimates
+# print(pytesseract.image_to_boxes(Image.open('test.png')))
+
+# # Get verbose data including boxes, confidences, line and page numbers
+# print(pytesseract.image_to_data(Image.open('test.png')))
+
+# # Get information about orientation and script detection
+# print(pytesseract.image_to_osd(Image.open('test.png'))
+
+
+def run(image, lang=None):
+    result = pytesseract.image_to_string(image, lang=None if lang == [] else lang)
+    return result
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Theatre Programmer")
+    with gr.Row():
+        with gr.Column():
+            image_in = gr.Image(type="pil")
+            lang = gr.Dropdown(choices)
+            btn = gr.Button("Run")
+        with gr.Column():
+            text_out = gr.TextArea()
+
+    # examples = gr.Examples([["./eurotext.png", None]], fn=run, inputs=[
+    #                        image_in, lang], outputs=[text_out], cache_examples=False)
+    btn.click(fn=run, inputs=[image_in, lang], outputs=[text_out])
+
+demo.launch()

packages.txt

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+tesseract-ocr-all

requirements.txt

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+gradio
+pytesseract