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import gradio as gr
import requests
import json
import base64
from PIL import Image
import io
import os
css = """
footer {
visibility: hidden;
}
"""
app_id = os.getenv("app_id")
app_key = os.getenv("app_key")
app_url = os.getenv("app_url")
def get_latex_from_image_all_formats(image):
buffered = io.BytesIO()
image.save(buffered, format="JPEG")
image_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
headers = {
"app_id": app_id,
"app_key": app_key,
"Content-Type": "application/json"
}
# 해당 부분을 ["text"]로 변경하여 formats를 리스트로 설정
data = {
"src": f"data:image/jpeg;base64,{image_base64}",
"formats": ["text"]
}
response = requests.post(app_url, headers=headers, json=data)
response.raise_for_status()
result = response.json()
# formats_results 변수는 사용하지 않으므로 제거하여 코드를 단순화
return result
def build_gradio_app(css=css):
demo = gr.Blocks(css=css)
with demo:
gr.Markdown("# ArXivGPT OCR LaTeX")
gr.Markdown("This comprehensive solution...")
image_input = gr.Image(type="pil", label="이미지 업로드")
submit_button = gr.Button("변환하기")
output_text = gr.Textbox(label="결과")
examples = gr.Examples(examples=[["ko.png"], ["en.png"], ["hand.jpg"]], inputs=image_input, fn=process_and_output, outputs=output_text)
latex_iframe = gr.HTML(value='<iframe src="https://www.mathjax.org/#demo" style="width: 100%; height: 700px; border: 2px solid #007bff; border-radius: 8px;"></iframe>', elem_id="latex_iframe")
def process_and_output(image):
latex_result = get_latex_from_image_all_formats(image)
text_result = latex_result.get("text", "No result")
return text_result
submit_button.click(fn=process_and_output, inputs=image_input, outputs=output_text)
return demo
if __name__ == "__main__":
app = build_gradio_app()
app.launch() |