Add application file

main.py

@@ -2,6 +2,7 @@ import threading
 from functions import extract_text_from_pdf, get_most_similar_job
 from fastapi import  UploadFile, HTTPException, FastAPI
 import pandas as pd
+from fastapi import UploadFile, HTTPException
 from sklearn.feature_extraction.text import TfidfVectorizer
 
 
@@ -64,18 +65,21 @@ app = FastAPI(project_name="cv")
 async def read_root():
     return {"Hello": "World, Project name is : CV Description"}
 
+
 @app.post("/prediction")
 async def detect(cv: UploadFile, number_of_jobs: int):
-    
     if (type(number_of_jobs) != int) or (number_of_jobs < 1) or (number_of_jobs > df.shape[0]):
         raise HTTPException(
-            status_code=415, detail = f"Please enter the number of jobs you want as an ' integer from 1 to {int(df.shape[0]) - 1} '."
+            status_code=415, detail=f"Please enter the number of jobs as an integer from 1 to {int(df.shape[0]) - 1}."
         )
     
-    if cv.filename.split(".")[-1] not in ("pdf") :
+    if cv.filename.split(".")[-1] not in ("pdf"):
         raise HTTPException(
-            status_code=415, detail="Please inter PDF file "
+            status_code=415, detail="Please upload a PDF file."
         )
+    
+    # The rest of your code...
+