style: reformat

src/main.py

@@ -47,15 +47,17 @@ def root():
 
     return Response(renderTemplate("main.html", {"results": result}))
 
+
 class Image(BaseModel):
     file_name: str
     file_contents: str
 
+
 @app.post("/detect/")
 def file(file: Image):
     file_name = unquote(file.file_name)
 
-    with open("data/"+file_name, "wb") as f:
+    with open("data/" + file_name, "wb") as f:
         f.write(b64decode(file.file_contents))
 
     print("Working on: " + file_name)
@@ -68,25 +70,37 @@ def file(file: Image):
             assume_straight_pages=False,
             preserve_aspect_ratio=True,
         )
-        doc = DocumentFile.from_images("data/"+file_name)
+        doc = DocumentFile.from_images("data/" + file_name)
         pred_res = predictor(doc)
         json_res = pred_res.export()
         converted = convert_dict_items_to_list(json_res)
+
+        os.unlink("data/" + file_name)
+
         return JSONResponse(content=converted)
+
     except Exception as e:
         raise HTTPException(status_code=422, detail=str(e))
 
 
 def convert_to_list(value):
     if isinstance(value, dict):
-        return {k:convert_to_list(v) for k,v in value.items()}
+        return {k: convert_to_list(v) for k, v in value.items()}
     elif isinstance(value, list):
-        return [convert_to_list(item) if isinstance(item, (dict, np.ndarray)) else item.tolist() if isinstance(item, np.ndarray) else item for item in value]
+        return [
+            convert_to_list(item)
+            if isinstance(item, (dict, np.ndarray))
+            else item.tolist()
+            if isinstance(item, np.ndarray)
+            else item
+            for item in value
+        ]
     elif isinstance(value, np.ndarray):
         return value.tolist()
     else:
         return value
 
+
 def convert_dict_items_to_list(d: dict):
     converted = {}