Create app.py

app.py

@@ -0,0 +1,60 @@
+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+import mimetypes
+import os
+from typing import Optional
+
+from docx import Document
+import pdfplumber
+import pandas as pd
+from tempfile import NamedTemporaryFile
+
+app = FastAPI()
+
+def extract_text_from_docx(file_path):
+    doc = Document(file_path)
+    return "\n".join([para.text for para in doc.paragraphs])
+
+def extract_text_from_pdf(file_path):
+    text = ""
+    with pdfplumber.open(file_path) as pdf:
+        for page in pdf.pages:
+            text += page.extract_text() + "\n"
+    return text
+
+def extract_text_from_sheet(file_path):
+    ext = os.path.splitext(file_path)[1]
+    if ext == ".csv":
+        df = pd.read_csv(file_path)
+    else:
+        df = pd.read_excel(file_path)
+    return df.to_string(index=False)
+
+@app.post("/upload")
+async def upload(file: UploadFile = File(...)):
+    extension = os.path.splitext(file.filename)[1].lower()
+    mime_type = file.content_type
+
+    with NamedTemporaryFile(delete=False, suffix=extension) as temp_file:
+        temp_file.write(await file.read())
+        temp_path = temp_file.name
+
+    try:
+        if extension == ".docx":
+            texte = extract_text_from_docx(temp_path)
+        elif extension == ".pdf":
+            texte = extract_text_from_pdf(temp_path)
+        elif extension in [".csv", ".xlsx"]:
+            texte = extract_text_from_sheet(temp_path)
+        else:
+            return JSONResponse(status_code=400, content={"erreur": "Type de fichier non supporté"})
+    except Exception as e:
+        return JSONResponse(status_code=500, content={"erreur": str(e)})
+    finally:
+        os.remove(temp_path)
+
+    return {
+        "nom_fichier": file.filename,
+        "type": mime_type,
+        "texte": texte
+    }