import os import pyperclip import gradio as gr import nltk import pytesseract import google.generativeai as genai from nltk.tokenize import sent_tokenize from transformers import * import torch from tqdm import tqdm # Import tqdm # Download necessary data for nltk nltk.download('punkt') OCR_TR_DESCRIPTION = '''# OCR Translate v0.2
OCR translation system based on Tesseract
''' # Getting the list of available languages for Tesseract choices = os.popen('tesseract --list-langs').read().split('\n')[1:-1] # Replace YOUR_API_KEY with your API key from https://cloud.google.com/docs/authentication/api-keys genai.configure(api_key="AIzaSyC_o3nrbe2fVUifhUg0Zh2oVsweSIdlEbg") model = genai.GenerativeModel('gemini-pro') # tesseract语言列表转pytesseract语言 def ocr_lang(lang_list): lang_str = "" lang_len = len(lang_list) if lang_len == 1: return lang_list[0] else: for i in range(lang_len): lang_list.insert(lang_len - i, "+") lang_str = "".join(lang_list[:-1]) return lang_str # ocr tesseract def ocr_tesseract(img, languages): ocr_str = pytesseract.image_to_string(img, lang=ocr_lang(languages)) return ocr_str # 清除 def clear_content(): return None import pyperclip # 复制到剪贴板 def cp_text(input_text): try: pyperclip.copy(input_text) except Exception as e: print("Error occurred while copying to clipboard") print(e) # 清除剪贴板 def cp_clear(): pyperclip.clear() # Add a translation function def translate(input_text, inputs_transStyle): if input_text is None or input_text == "": return "System prompt: There is no content to translate!" # 选择翻译模型 prompt = f"Please reformat the following article to have clear paragraph breaks and correct punctuation, and then translate it into {inputs_transStyle}. In the translation, do not display the original text, fictional content, or any repeated content. Ensure that the original meaning and context are preserved as much as possible." # Reorder for ease of reading and translate into {inputs_transStyle}" response = model.generate_content([prompt, input_text]) return response.text def main(): with gr.Blocks(css='style.css') as ocr_tr: gr.Markdown(OCR_TR_DESCRIPTION) # -------------- OCR 文字提取 -------------- with gr.Box(): with gr.Row(): gr.Markdown("### Step 01: Text Extraction") with gr.Row(): with gr.Column(): with gr.Row(): inputs_img = gr.Image(image_mode="RGB", source="upload", type="pil", label="image") with gr.Row(): inputs_lang = gr.CheckboxGroup(choices=["chi_sim", "eng"], type="value", value=['eng'], label='language') with gr.Row(): clear_img_btn = gr.Button('Clear') ocr_btn = gr.Button(value='OCR Extraction', variant="primary") with gr.Column(): with gr.Row(): outputs_text = gr.Textbox(label="Extract content", lines=20) inputs_transStyle = gr.inputs.Dropdown(choices=["Chinese (Simplified)", "Chinese (Traditional)", "English", "Japanese", "Korean"], default="Chinese (Simplified)", label='translation mode') with gr.Row(): clear_text_btn = gr.Button('Clear') translate_btn = gr.Button(value='Translate', variant="primary") with gr.Row(): pass # -------------- 翻译 -------------- with gr.Box(): with gr.Row(): gr.Markdown("### Step 02: Translation") with gr.Row(): outputs_tr_text = gr.Textbox(label="Translate Content", lines=20) with gr.Row(): cp_clear_btn = gr.Button(value='Clear Clipboard') cp_btn = gr.Button(value='Copy to clipboard', variant="primary") # ---------------------- OCR Tesseract ---------------------- ocr_btn.click(fn=ocr_tesseract, inputs=[inputs_img, inputs_lang], outputs=[ outputs_text,]) clear_img_btn.click(fn=clear_content, inputs=[], outputs=[inputs_img]) # ---------------------- 翻译 ---------------------- translate_btn.click(fn=translate, inputs=[outputs_text, inputs_transStyle], outputs=[outputs_tr_text]) clear_text_btn.click(fn=clear_content, inputs=[], outputs=[outputs_text]) # ---------------------- 复制到剪贴板 ---------------------- cp_btn.click(fn=cp_text, inputs=[outputs_tr_text], outputs=[]) cp_clear_btn.click(fn=cp_clear, inputs=[], outputs=[]) ocr_tr.launch(inbrowser=True, share=True) if __name__ == '__main__': main()