Final version

Intersystems.ipynb

@@ -55,14 +55,10 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 2,
+   "cell_type": "markdown",
    "id": "95c000ff-bf0c-4489-8643-93a238db41dc",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "os.environ['OPENAI_API_KEY']=\"sk-proj-CG2E98bSWs53X2eWO0Z4T3BlbkFJLm7H1vfkbua0zP548CKQ\""
-   ]
+   "source": []
   },
   {
    "cell_type": "code",

app.py

@@ -198,13 +198,16 @@ By minimizing this cost function, the model learns the embeddings of the entitie
 """
         )
         try:
+            print(f'df_similarities_augmented_set.index: {df_similarities_augmented_set.index}')
             edges_to_show = []
             labels_of_diseases = get_labels_of_diseases_from_uris(
-                [f'http://identifiers.org/medgen/{disease}' for disease in augmented_set_of_diseases]
+                augmented_set_of_diseases
             )
+            print(f'labels_of_diseases: {labels_of_diseases}')
             uris_and_labels_of_diseases = dict(
                 zip(df_similarities_augmented_set.index, labels_of_diseases)
             )
+            print(f'uris_and_labels_of_diseases: {uris_and_labels_of_diseases}')
             color_mapper = matplotlib.cm.get_cmap("viridis")
             for source in df_similarities_augmented_set.index:
                 for target in df_similarities_augmented_set.columns:
@@ -228,7 +231,8 @@ By minimizing this cost function, the model learns the embeddings of the entitie
                 nodes=[
                     Node(
                         id=disease,
-                        label=disease,#uris_and_labels_of_diseases[disease],
+                        # If it's nan then use the URI
+                        label=uris_and_labels_of_diseases[disease] if (not pd.isna(uris_and_labels_of_diseases[disease]) and uris_and_labels_of_diseases[disease] != "nan") else disease,
                         size=50,
                         shape="circular",
                     )
@@ -293,6 +297,9 @@ with st.container():
                 render_trial_details(trials[i])
 
 
+st.divider()
+
+
 st.markdown(
     """This app has been created in HackUPC 2024 by the team 'Klìnic'. The team members are:
 - [Aldan Creo](https://acmc-website.web.app)

utils.py

@@ -240,6 +240,7 @@ def get_labels_of_diseases_from_uris(uris: List[str]) -> List[str]:
                     SELECT label FROM Test.EntityEmbeddings
                     WHERE uri IN ({joined_uris})
                 """
+            print(text(sql))
             result = conn.execute(text(sql))
             data = result.fetchall()