Add badges

app.py

@@ -81,10 +81,15 @@ def show_aggrid_table(result: pd.DataFrame):
 def main():
     """Main Function"""
     st.title('@ecommurz Talent Search Engine')
-    st.markdown("![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge&logo=PyTorch&logoColor=white")
-    st.markdown("![Maintainer](https://img.shields.io/badge/maintainer-temandata-blue")
-    st.markdown("[![Open Source? Yes!](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github)](https://github.com/teman-data/ecommurz-talent-search-engine)")
-    st.markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=temandata_ecommurz-talent-search-engine")
+    st.markdown('''
+        <div align="left">
+
+        [![Maintainer](https://img.shields.io/badge/maintainer-temandata-blue)](https://temandata.com/)
+        [![Open Source? Yes!](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github)](https://github.com/teman-data/ecommurz-talent-search-engine)
+        ![visitor badge](https://visitor-badge.glitch.me/badge?page_id=temandata_ecommurz-talent-search-engine)
+
+        </div>
+    ''', unsafe_allow_html=True)
     st.write('This app lets you search and sort talent by job title or relevant job descriptions from ecommurz talent list in real-time.')
 
     columns = ['Timestamp', 'Full Name', 'Company', 'Previous Role',
@@ -102,17 +107,17 @@ def main():
                                         data['LinkedIn Profile'])
 
 
-    model = load_model()
-    corpus_embeddings = create_embedding(model, data, 'Previous Role')
+    # model = load_model()
+    # corpus_embeddings = create_embedding(model, data, 'Previous Role')
 
-    job_title = st.text_input('Insert the job title below:', '')
-    submitted = st.button('Submit')
+    # job_title = st.text_input('Insert the job title below:', '')
+    # submitted = st.button('Submit')
 
-    if submitted:
-        st.info(f'Showing results for {job_title}')
-        result = get_similarity_score(model, data, job_title, corpus_embeddings)
-        result = result[columns]
-        show_aggrid_table(result)
+    # if submitted:
+    #     st.info(f'Showing results for {job_title}')
+    #     result = get_similarity_score(model, data, job_title, corpus_embeddings)
+    #     result = result[columns]
+    #     show_aggrid_table(result)
 
 if __name__ == '__main__':
     main()