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import streamlit as st
import requests
@st.cache_data
def get_top_relevant_normalized_job_titles(job_title, num_answers):
# JAMES API endpoint for the top-N relevant normalized job titles
api_endpoint = f'http://james-mapping.xyz/api/v1/related?job_title={job_title}&num_answers={num_answers}'
try:
# Send GET request to JAMES API
response = requests.get(api_endpoint)
if response.status_code == 200:
# Successful API call
response_data = response.json()
normed_job_title_list = response_data.get("normed_job_title_list", [])
if not normed_job_title_list:
return ["No normalized titles found"]
# Ensure that you have at least 10 results
while len(normed_job_title_list) < 10:
# Fetch more data until you have at least 10 results
num_answers += 1
api_endpoint = f'http://james-mapping.xyz/api/v1/related?job_title={job_title}&num_answers={num_answers}'
response = requests.get(api_endpoint)
response_data = response.json()
new_titles = response_data.get("normed_job_title_list", [])
normed_job_title_list.extend(new_titles)
return normed_job_title_list
else:
# API call unsuccessful
return [f'Error: {response.status_code}']
except requests.exceptions.RequestException as e:
return [f'Error: {e}']
def main():
# Set page title
st.set_page_config(page_title='JAMES API Demo', layout='centered')
st.title('JAMES Job Title Mapping')
# Job title input field
job_title = st.text_input('Enter a job title')
num_answers = st.number_input('Select Number of Answers', min_value=1, max_value=10, step=1, value=5)
# Submit button for top-N relevant titles
if st.button(f'Get Top {num_answers} Relevant Titles'):
# Perform job title normalization using the top-N relevant titles
top_normalized_titles = get_top_relevant_normalized_job_titles(job_title, num_answers)
st.subheader(f'Top {num_answers} Relevant Titles:')
for i, normed_job_title in enumerate(top_normalized_titles[:num_answers], 1):
st.text(f'{i}: {normed_job_title}')
if __name__ == '__main__':
main()
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