App UI

app.py

@@ -36,6 +36,9 @@ CONNECTION_STRING = f"iris://{username}:{password}@{hostname}:{port}/{namespace}
 engine = create_engine(CONNECTION_STRING)
 
 
+st.image("img_klinic.jpeg", caption="(AI-generated image)", use_column_width=True)
+st.title("Klìnic", help="AI-powered clinical trial search engine")
+
 with st.container(): # user input
     col1, col2 = st.columns((6, 1))
 
@@ -78,7 +81,7 @@ with st.container():
             json_of_clinical_trials = get_clinical_records_by_ids(
                 [trial["nct_id"] for trial in clinical_trials_related_to_the_diseases]
             )
-            status.json(json_of_clinical_trials)
+            status.json(json_of_clinical_trials, expanded=False)
             # 7. Use an LLM to get a summary of the clinical trials, in plain text format.
             status.write("Getting a summary of the clinical trials...")
             response = get_short_summary_out_of_json_files(json_of_clinical_trials)