add dumb mistral exemple

requirements.txt

@@ -44,3 +44,5 @@ langchain-openai
 numpy==2.2.4
 pymupdf == 1.25.5
 flask-cors==5.0.1
+mistralai==1.6.0
+

utils/parsers/passport_parser.py

@@ -1,42 +1,22 @@
-import base64
+import os
-import io
+from mistralai import Mistral
-from tempfile import NamedTemporaryFile
+
-from PIL import Image, ImageEnhance
+api_key = "XEOc110BYE4PMj8FQBauxxGZTitRTs2w"
-import pytesseract
+client = Mistral(api_key=api_key)
-from passporteye import read_mrz
+
-import json
 
 def process_passport(passport_b64: str) -> str:
-    """
+    mistral_image_url = f"data:image/png;base64,{passport_b64}"
-    Traite le passport :
-    - Décodage de l'image en base64.
-    - Application de l'OCR pour extraire le texte.
 
-    :param passport_b64: Chaîne base64 représentant l'image du passport.
+    ocr_response = client.ocr.process(
-    :return: Texte extrait de l'image.
+        model="mistral-ocr-latest",
-    """
+        document={
-    image_bytes = base64.b64decode(passport_b64)
+            "type": "image_url",
-    with NamedTemporaryFile(mode="wb") as tmp_img:
+            "image_url": mistral_image_url
-        tmp_img.write(image_bytes)
-        with open(tmp_img.name, "rb") as read_img:
-            mrz_obj = read_mrz(read_img)
-
-    image = Image.open(io.BytesIO(image_bytes))
-    enhancer = ImageEnhance.Contrast(image)
-    image = enhancer.enhance(2.0)  # 2.0 = double le contraste (1.0 = inchangé)
-    tesseract_text = pytesseract.image_to_string(image, lang='eng')
-    out_dict = {}
-    if not mrz_obj is None:
-        number_raw = str(mrz_obj.number)
-        # It's not called a 'Hack'athon for nothing...
-        number = number_raw.replace("B", "8")
-        out_dict = {
-            "country": mrz_obj.country,
-            "names": mrz_obj.names,
-            "number": number,
-            "surname": mrz_obj.surname,
-            "mrz": mrz_obj.aux["text"],
         }
-    out_dict["raw"] = tesseract_text
+    )
-    out = json.dumps(out_dict)
+
-    return out
+    # Extraire le markdown de toutes les pages
+    markdown_text = "\n\n".join(page.markdown for page in ocr_response.pages)
+
+    return markdown_text  # Tu peux aussi retourner juste le chemin si tu préfères