Upload app.py

app.py

@@ -14,12 +14,15 @@ from utils import (
 from ast import literal_eval
 from stqdm import stqdm
 
-with open("joblists.txt") as file:
+with open("data/joblists.txt") as file:
     lines = file.readlines()
     jobs = [line.rstrip() for line in lines]
 
-DB = pd.read_csv("JDs_final.csv").dropna()
-data = pd.read_csv("processed_courses_data.csv")
+DB = pd.read_csv("data/JDs_final.csv").dropna()
+DB.details = DB.details.apply(lambda x: literal_eval(x))
+DB.tokenized = DB.tokenized.apply(lambda x: literal_eval(x))
+DB = DB.drop_duplicates(["description"])
+data = pd.read_csv("data/processed_courses_data.csv")
 
 
 def get_recommendation(DB, data, jobname, by="course_info"):
@@ -38,13 +41,12 @@ def get_recommendation(DB, data, jobname, by="course_info"):
 
 
 st.title("Course Recommender🤔")
-
 if device == "cpu":
     processor = "🖥️"
 else:
     processor = "💽"
 
-st.write("Runnig on {}".format(device + processor))
+st.subheader("Running on {}".format(device + processor))
 
 option = st.checkbox("💻From referece IT jobs?")
 if option: