Update cv_scanner.py

cv_scanner.py

@@ -1 +1,26 @@
-import streamlit as stfrom constants import * def download_template(template_file=TEMPLATE_FILE):    content_file = open(template_file,'r')    content = content_file.read()    st.download_button('The first step is to fill the CV. Download the template here :rocket:', content)  # Defaults to 'text/plain'    content_file.close()    def download_result(template_file=RESULT_FILE):    content_file = open(template_file,'r')    content = content_file.read()    st.download_button('Download the result of your AI improved CV here :wink:', content)  # Defaults to 'text/plain'    content_file.close()def experience_parser(text_cv):    list_experiences = text_cv.split('EXPERIENCE ')    selected_experience = []    for l in list_experiences:        try:            int(l[0][0])            selected_experience.append(l)        except:            continue    return selected_experience
+import streamlit as st
+from constants import * 
+
+def download_template(template_file=TEMPLATE_FILE):
+    content_file = open(template_file,'r')
+    content = content_file.read()
+    st.download_button('The first step is to fill the CV. Download the template here :rocket:', content)  # Defaults to 'text/plain'
+    content_file.close()
+
+
+def download_result(template_file=RESULT_FILE):
+    content_file = open(template_file,'r')
+    content = content_file.read()
+    st.download_button('Download the result of your AI improved CV here :wink:', content)  # Defaults to 'text/plain'
+    content_file.close()
+
+def experience_parser(text_cv):
+    list_experiences = text_cv.split('EXPERIENCE ')
+    selected_experience = []
+    for l in list_experiences:
+        try:
+            int(l[0][0])
+            selected_experience.append(l)
+        except:
+            continue
+    return selected_experience