Update app.py

app.py

@@ -1,4 +1,51 @@
 import streamlit as st
 
 x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.write(x, 'squared is', x * x)
+
+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}'
+
+    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"]
+
+            return normed_job_title_list  # Remove slicing to return all results
+        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, 1):
+            st.text(f'{i}: {normed_job_title}')
+
+if __name__ == '__main__':
+    main()