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Update app.py
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app.py
CHANGED
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@@ -6,19 +6,19 @@ import shutil
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import time
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import pymupdf as fitz
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import logging
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import
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from mistralai import Mistral
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from mistralai.models import OCRResponse
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from typing import Union, List, Tuple, Optional, Dict
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from tenacity import retry, stop_after_attempt, wait_exponential
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import tempfile
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# Constants
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SUPPORTED_IMAGE_TYPES = [".jpg", ".png", ".jpeg"
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UPLOAD_FOLDER = "./uploads"
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MAX_FILE_SIZE = 50 * 1024 * 1024 # 50MB
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MAX_PDF_PAGES = 50
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# Configuration
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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@@ -34,7 +34,6 @@ class OCRProcessor:
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if not api_key or not isinstance(api_key, str):
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raise ValueError("Valid API key must be provided")
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self.client = Mistral(api_key=api_key)
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self.file_ids_to_delete = []
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self._validate_client()
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def _validate_client(self) -> None:
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raise ValueError(f"API key validation failed: {str(e)}")
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@staticmethod
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def _check_file_size(
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if
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if size > MAX_FILE_SIZE:
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raise ValueError(f"File size exceeds {MAX_FILE_SIZE/1024/1024}MB limit")
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try:
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except Exception as e:
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logger.error(f"
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raise
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@staticmethod
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def
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try:
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pdf_document = fitz.open(pdf_path)
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if pdf_document.page_count
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pdf_document.close()
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pdf_document.close()
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return
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except Exception as e:
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logger.error(f"Error converting
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return
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@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=2, max=10))
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def _call_ocr_api(self,
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try:
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logger.info("Calling OCR API")
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response = self.client.ocr.process(
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model="mistral-ocr-latest",
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document=
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include_image_base64=True
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)
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return response
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@@ -99,61 +139,64 @@ class OCRProcessor:
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logger.error(f"OCR API call failed: {str(e)}")
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raise
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def process_file(self, file: gr.File) -> Tuple[str, str]:
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"""Process uploaded file (image or PDF)."""
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if not file:
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return "## No file provided", ""
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response = self._call_ocr_api(document)
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markdown = self._combine_markdown(response)
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logger.error(f"Error processing file {file_name}: {str(e)}")
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return f"## Error processing file: {str(e)}", file_path
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def process_url(self, url: str) -> Tuple[str, str]:
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"""Process URL (image or PDF)."""
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if not url:
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return "## No URL provided", ""
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markdown = self._combine_markdown(response)
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logger.error(f"Error processing URL {url}: {str(e)}")
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return f"## Error processing URL: {str(e)}", url
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@staticmethod
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def _combine_markdown(response: OCRResponse) -> str:
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markdown_parts.append(markdown)
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return "\n\n".join(markdown_parts) or "## No text detected"
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def update_file_preview(file):
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if not file:
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return gr.update(value=[])
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ext = os.path.splitext(os.path.basename(file.name))[1].lower()
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if ext in SUPPORTED_IMAGE_TYPES:
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return gr.update(value=[file.name])
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elif ext in SUPPORTED_DOCUMENT_TYPES:
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first_page = OCRProcessor._convert_first_page(file.name)
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return gr.update(value=[first_page] if first_page else [])
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else:
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return gr.update(value=[])
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def update_url_preview(url):
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if not url:
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return gr.update(value=[])
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parsed_url = url.split('/')[-1] if '/' in url else url
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ext = os.path.splitext(parsed_url)[1].lower()
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if ext in SUPPORTED_IMAGE_TYPES:
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return gr.update(value=[url])
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elif ext == '.pdf': # Only preview PDFs
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try:
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response = requests.get(url, timeout=10, stream=True)
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response.raise_for_status()
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with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as temp_pdf:
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shutil.copyfileobj(response.raw, temp_pdf)
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temp_pdf_path = temp_pdf.name
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first_page = OCRProcessor._convert_first_page(temp_pdf_path)
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os.unlink(temp_pdf_path)
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return gr.update(value=[first_page] if first_page else [])
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except Exception as e:
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logger.error(f"URL preview error: {str(e)}")
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return gr.update(value=[])
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else:
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return gr.update(value=[])
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def create_interface():
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css = """
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.output-markdown {font-size: 14px; max-height: 500px; overflow-y: auto;}
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.status {color: #666; font-style: italic;}
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.preview {max-height: 300px;}
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"""
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with gr.Blocks(title="Mistral OCR Demo", css=css) as demo:
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gr.Markdown("# Mistral OCR Demo")
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gr.Markdown(f"""
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# API Key Setup
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with gr.Row():
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return processor, "✅ API key validated"
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except Exception as e:
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return None, f"❌ Error: {str(e)}"
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set_key_btn.click(fn=init_processor, inputs=api_key_input, outputs=[processor_state, status])
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# File Upload Tab
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with gr.Tab("Upload File"):
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with gr.Row():
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file_input = gr.File(label="Upload Image
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file_output = gr.Markdown(label="OCR Result", elem_classes="output-markdown")
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file_raw_output = gr.Textbox(label="
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file_button = gr.Button("Process", variant="primary")
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def process_file_fn(p, f):
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if not p:
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return "## Set API key first", ""
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return p.process_file(f)
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file_button.click(
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fn=
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inputs=[processor_state, file_input],
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outputs=[file_output, file_raw_output]
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)
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# URL Tab
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with gr.Tab("URL Input"):
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with gr.Row():
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url_input = gr.Textbox(label="URL to Image
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url_output = gr.Markdown(label="OCR Result", elem_classes="output-markdown")
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url_raw_output = gr.Textbox(label="
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url_button = gr.Button("Process", variant="primary")
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url_button.click(
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fn=
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inputs=[processor_state, url_input],
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outputs=[url_output, url_raw_output]
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)
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gr.Examples(
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examples=[],
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inputs=[file_input, url_input]
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)
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return demo
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if __name__ == "__main__":
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os.environ['START_TIME'] = time.strftime('%Y-%m-%d %H:%M:%S')
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print(f"===== Application Startup at {os.environ['START_TIME']}
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demo.launch(share=True, max_threads=1)
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import time
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import pymupdf as fitz
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import logging
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from mistralai import Mistral, ImageURLChunk
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from mistralai.models import OCRResponse
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from typing import Union, List, Tuple, Optional, Dict
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from tenacity import retry, stop_after_attempt, wait_exponential
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from concurrent.futures import ThreadPoolExecutor
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import tempfile
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# Constants
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SUPPORTED_IMAGE_TYPES = [".jpg", ".png", ".jpeg"]
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SUPPORTED_PDF_TYPES = [".pdf"]
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UPLOAD_FOLDER = "./uploads"
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MAX_FILE_SIZE = 50 * 1024 * 1024 # 50MB
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MAX_PDF_PAGES = 50
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# Configuration
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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if not api_key or not isinstance(api_key, str):
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raise ValueError("Valid API key must be provided")
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self.client = Mistral(api_key=api_key)
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self._validate_client()
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def _validate_client(self) -> None:
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raise ValueError(f"API key validation failed: {str(e)}")
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@staticmethod
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def _check_file_size(file_input: Union[str, bytes]) -> None:
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if isinstance(file_input, str) and os.path.exists(file_input):
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size = os.path.getsize(file_input)
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elif hasattr(file_input, 'read'):
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size = len(file_input.read())
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file_input.seek(0)
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else:
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size = len(file_input)
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if size > MAX_FILE_SIZE:
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raise ValueError(f"File size exceeds {MAX_FILE_SIZE/1024/1024}MB limit")
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@staticmethod
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def _save_uploaded_file(file_input: Union[str, bytes], filename: str) -> str:
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clean_filename = os.path.basename(filename).replace(os.sep, "_")
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file_path = os.path.join(UPLOAD_FOLDER, f"{int(time.time())}_{clean_filename}")
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try:
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if isinstance(file_input, str) and file_input.startswith("http"):
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response = requests.get(file_input, timeout=30)
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response.raise_for_status()
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with open(file_path, 'wb') as f:
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f.write(response.content)
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elif isinstance(file_input, str) and os.path.exists(file_input):
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shutil.copy2(file_input, file_path)
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else:
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with open(file_path, 'wb') as f:
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if hasattr(file_input, 'read'):
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shutil.copyfileobj(file_input, f)
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else:
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f.write(file_input)
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if not os.path.exists(file_path):
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raise FileNotFoundError(f"Failed to save file at {file_path}")
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return file_path
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except Exception as e:
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logger.error(f"Error saving file {filename}: {str(e)}")
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raise
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@staticmethod
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def _encode_image(image_path: str) -> str:
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try:
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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except Exception as e:
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logger.error(f"Error encoding image {image_path}: {str(e)}")
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raise ValueError(f"Failed to encode image: {str(e)}")
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@staticmethod
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def _pdf_to_images(pdf_path: str) -> List[Tuple[str, str]]:
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try:
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pdf_document = fitz.open(pdf_path)
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if pdf_document.page_count > MAX_PDF_PAGES:
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pdf_document.close()
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raise ValueError(f"PDF exceeds maximum page limit of {MAX_PDF_PAGES}")
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with ThreadPoolExecutor() as executor:
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image_data = list(executor.map(
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lambda i: OCRProcessor._convert_page(pdf_path, i),
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range(pdf_document.page_count)
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))
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pdf_document.close()
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return [data for data in image_data if data]
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except Exception as e:
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logger.error(f"Error converting PDF to images: {str(e)}")
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return []
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@staticmethod
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def _convert_page(pdf_path: str, page_num: int) -> Tuple[str, str]:
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try:
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pdf_document = fitz.open(pdf_path)
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page = pdf_document[page_num]
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pix = page.get_pixmap(dpi=150)
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image_path = os.path.join(UPLOAD_FOLDER, f"page_{page_num + 1}_{int(time.time())}.png")
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pix.save(image_path)
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encoded = OCRProcessor._encode_image(image_path)
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pdf_document.close()
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return image_path, encoded
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except Exception as e:
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logger.error(f"Error converting page {page_num}: {str(e)}")
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return None, None
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@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=2, max=10))
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def _call_ocr_api(self, encoded_image: str) -> OCRResponse:
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base64_url = f"data:image/png;base64,{encoded_image}"
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try:
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logger.info("Calling OCR API")
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response = self.client.ocr.process(
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model="mistral-ocr-latest",
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document=ImageURLChunk(image_url=base64_url),
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include_image_base64=True
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)
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return response
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logger.error(f"OCR API call failed: {str(e)}")
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raise
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def process_file(self, file: gr.File) -> Tuple[str, str, List[str]]:
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"""Process uploaded file (image or PDF)."""
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if not file:
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return "## No file provided", "", []
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file_name = file.name
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self._check_file_size(file)
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file_path = self._save_uploaded_file(file, file_name)
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if file_name.lower().endswith(tuple(SUPPORTED_IMAGE_TYPES)):
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encoded_image = self._encode_image(file_path)
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response = self._call_ocr_api(encoded_image)
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markdown = self._combine_markdown(response)
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return markdown, file_path, [file_path]
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elif file_name.lower().endswith('.pdf'):
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| 158 |
+
image_data = self._pdf_to_images(file_path)
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| 159 |
+
if not image_data:
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| 160 |
+
return "## No pages converted from PDF", file_path, []
|
| 161 |
+
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| 162 |
+
ocr_results = []
|
| 163 |
+
image_paths = [path for path, _ in image_data]
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| 164 |
+
for _, encoded in image_data:
|
| 165 |
+
response = self._call_ocr_api(encoded)
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|
| 166 |
markdown = self._combine_markdown(response)
|
| 167 |
+
ocr_results.append(markdown)
|
| 168 |
+
return "\n\n".join(ocr_results), file_path, image_paths
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| 169 |
+
|
| 170 |
+
return "## Unsupported file type", file_path, []
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| 171 |
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| 172 |
+
def process_url(self, url: str) -> Tuple[str, str, List[str]]:
|
| 173 |
"""Process URL (image or PDF)."""
|
| 174 |
if not url:
|
| 175 |
+
return "## No URL provided", "", []
|
| 176 |
+
|
| 177 |
+
file_name = url.split('/')[-1] or f"file_{int(time.time())}"
|
| 178 |
+
file_path = self._save_uploaded_file(url, file_name)
|
| 179 |
+
|
| 180 |
+
if file_name.lower().endswith(tuple(SUPPORTED_IMAGE_TYPES)):
|
| 181 |
+
encoded_image = self._encode_image(file_path)
|
| 182 |
+
response = self._call_ocr_api(encoded_image)
|
| 183 |
+
markdown = self._combine_markdown(response)
|
| 184 |
+
return markdown, url, [file_path]
|
| 185 |
+
|
| 186 |
+
elif file_name.lower().endswith('.pdf'):
|
| 187 |
+
image_data = self._pdf_to_images(file_path)
|
| 188 |
+
if not image_data:
|
| 189 |
+
return "## No pages converted from PDF", url, []
|
| 190 |
+
|
| 191 |
+
ocr_results = []
|
| 192 |
+
image_paths = [path for path, _ in image_data]
|
| 193 |
+
for _, encoded in image_data:
|
| 194 |
+
response = self._call_ocr_api(encoded)
|
| 195 |
markdown = self._combine_markdown(response)
|
| 196 |
+
ocr_results.append(markdown)
|
| 197 |
+
return "\n\n".join(ocr_results), url, image_paths
|
| 198 |
+
|
| 199 |
+
return "## Unsupported URL content type", url, []
|
|
|
|
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|
|
| 200 |
|
| 201 |
@staticmethod
|
| 202 |
def _combine_markdown(response: OCRResponse) -> str:
|
|
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|
| 216 |
markdown_parts.append(markdown)
|
| 217 |
return "\n\n".join(markdown_parts) or "## No text detected"
|
| 218 |
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|
| 219 |
def create_interface():
|
| 220 |
css = """
|
| 221 |
.output-markdown {font-size: 14px; max-height: 500px; overflow-y: auto;}
|
| 222 |
.status {color: #666; font-style: italic;}
|
| 223 |
.preview {max-height: 300px;}
|
| 224 |
"""
|
| 225 |
+
|
| 226 |
with gr.Blocks(title="Mistral OCR Demo", css=css) as demo:
|
| 227 |
gr.Markdown("# Mistral OCR Demo")
|
| 228 |
+
gr.Markdown(f"""
|
| 229 |
+
Process PDFs and images (max {MAX_FILE_SIZE/1024/1024}MB, {MAX_PDF_PAGES} pages for PDFs) via upload or URL.
|
| 230 |
+
View previews and OCR results with embedded images.
|
| 231 |
+
Learn more at [Mistral OCR](https://mistral.ai/news/mistral-ocr).
|
| 232 |
+
""")
|
| 233 |
|
| 234 |
# API Key Setup
|
| 235 |
with gr.Row():
|
|
|
|
| 244 |
return processor, "✅ API key validated"
|
| 245 |
except Exception as e:
|
| 246 |
return None, f"❌ Error: {str(e)}"
|
| 247 |
+
|
| 248 |
set_key_btn.click(fn=init_processor, inputs=api_key_input, outputs=[processor_state, status])
|
| 249 |
|
| 250 |
# File Upload Tab
|
| 251 |
with gr.Tab("Upload File"):
|
| 252 |
with gr.Row():
|
| 253 |
+
file_input = gr.File(label="Upload PDF/Image", file_types=SUPPORTED_IMAGE_TYPES + SUPPORTED_PDF_TYPES)
|
| 254 |
+
file_preview = gr.Gallery(label="Preview", elem_classes="preview")
|
| 255 |
file_output = gr.Markdown(label="OCR Result", elem_classes="output-markdown")
|
| 256 |
+
file_raw_output = gr.Textbox(label="Raw File Path")
|
| 257 |
file_button = gr.Button("Process", variant="primary")
|
| 258 |
|
| 259 |
+
def update_file_preview(file):
|
| 260 |
+
return [file.name] if file else []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 261 |
|
| 262 |
+
file_input.change(fn=update_file_preview, inputs=file_input, outputs=file_preview)
|
| 263 |
file_button.click(
|
| 264 |
+
fn=lambda p, f: p.process_file(f) if p else ("## Set API key first", "", []),
|
| 265 |
inputs=[processor_state, file_input],
|
| 266 |
+
outputs=[file_output, file_raw_output, file_preview]
|
| 267 |
)
|
| 268 |
|
| 269 |
# URL Tab
|
| 270 |
with gr.Tab("URL Input"):
|
| 271 |
with gr.Row():
|
| 272 |
+
url_input = gr.Textbox(label="URL to PDF/Image")
|
| 273 |
+
url_preview = gr.Gallery(label="Preview", elem_classes="preview")
|
| 274 |
url_output = gr.Markdown(label="OCR Result", elem_classes="output-markdown")
|
| 275 |
+
url_raw_output = gr.Textbox(label="Raw URL")
|
| 276 |
url_button = gr.Button("Process", variant="primary")
|
| 277 |
|
| 278 |
+
def update_url_preview(url):
|
| 279 |
+
if not url:
|
| 280 |
+
return []
|
| 281 |
+
try:
|
| 282 |
+
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.tmp')
|
| 283 |
+
response = requests.get(url, timeout=10)
|
| 284 |
+
temp_file.write(response.content)
|
| 285 |
+
temp_file.close()
|
| 286 |
+
return [temp_file.name]
|
| 287 |
+
except Exception as e:
|
| 288 |
+
logger.error(f"URL preview error: {str(e)}")
|
| 289 |
+
return []
|
| 290 |
|
| 291 |
+
url_input.change(fn=update_url_preview, inputs=url_input, outputs=url_preview)
|
| 292 |
url_button.click(
|
| 293 |
+
fn=lambda p, u: p.process_url(u) if p else ("## Set API key first", "", []),
|
| 294 |
inputs=[processor_state, url_input],
|
| 295 |
+
outputs=[url_output, url_raw_output, url_preview]
|
| 296 |
)
|
| 297 |
|
| 298 |
+
# Examples
|
| 299 |
gr.Examples(
|
| 300 |
examples=[],
|
| 301 |
inputs=[file_input, url_input]
|
| 302 |
)
|
| 303 |
+
|
| 304 |
return demo
|
| 305 |
|
| 306 |
if __name__ == "__main__":
|
| 307 |
os.environ['START_TIME'] = time.strftime('%Y-%m-%d %H:%M:%S')
|
| 308 |
+
print(f"===== Application Startup at {os.environ['START_TIME']} =====")
|
| 309 |
+
create_interface().launch(share=True, max_threads=1)
|
|
|