Upload sfmce embeddings, add sfmce to the app

(sfmce)doc_embeddings.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9a8046a85bd56f5579bde4593a5a01318cba5ef488025f9c8834df8cbc7def0
+size 26045309

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 (sfmcdp)doc_embeddings.csv filter=lfs diff=lfs merge=lfs -text
 (sfmci)doc_embeddings.csv filter=lfs diff=lfs merge=lfs -text
 (sfmcp)doc_embeddings.csv filter=lfs diff=lfs merge=lfs -text
+(sfmce)doc_embeddings.csv filter=lfs diff=lfs merge=lfs -text

app.py

@@ -22,6 +22,9 @@ def get_documentation(query, platform):
     elif platform == "Salesforce Marketing Cloud Personalization":
         df = pd.read_csv("(sfmcp)doc_embeddings.csv")
 
+    elif platform == "Salesforce Marketing Cloud Engagement":
+        df = pd.read_csv("(sfmce)doc_embeddings.csv")
+
     df.ada_search = df.ada_search.apply(
         lambda x: np.array(x[1:-1].split(','), dtype=np.float32))
     df["similarities"] = df.ada_search.apply(
@@ -43,7 +46,7 @@ demo = gr.Interface(
         gr.Textbox(label="Question: ", lines=3,),
         gr.Radio(["Salesforce Marketing Cloud Intelligence",
                  "Salesforce Marketing Cloud CDP",
-                  "Salesforce Marketing Cloud Personalization"], value="Salesforce Marketing Cloud CDP", label="Platform")
+                  "Salesforce Marketing Cloud Personalization", "Salesforce Marketing Cloud Engagement"], value="Salesforce Marketing Cloud CDP", label="Platform")
     ],
     outputs=[gr.Textbox(label="Results: "),
              gr.Textbox(