Add SFMCP

(sfmcp)doc_embeddings.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d9370370681d77cf42ff8fa9803f3b45874e7c5d9f24ee104e93ff6caa5e64c
+size 37096859

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* 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

app.py

@@ -45,18 +45,35 @@ def get_documentation(query, platform):
                        contents[i] + "\n\nURL: " + links[i])
         return res[0], res[1], res[2]
 
+    elif platform == "Salesforce Marketing Cloud Personalization":
+        df = pd.read_csv("(sfmcp)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(
+            lambda x: cosine_similarity(x, embedding))
+        df = df.sort_values("similarities", ascending=False).reset_index()
+        titles = df['title']
+        contents = df['body']
+        links = df['link']
+        res = []
+        for i in range(3):
+            res.append("Título: " + titles[i] + "\n\nContenido: " +
+                       contents[i] + "\n\nURL: " + links[i])
+        return res[0], res[1], res[2]
+
 
 demo = gr.Interface(
     fn=get_documentation,
     inputs=[
         gr.Textbox(label="Question: ", lines=3,),
         gr.Radio(["Salesforce Marketing Cloud Intelligence",
-                 "Salesforce Marketing Cloud CDP"], label="Platform")
+                 "Salesforce Marketing Cloud CDP",
+                  "Salesforce Marketing Cloud Personalization"], value="Salesforce Marketing Cloud CDP", label="Platform")
     ],
     outputs=[gr.Textbox(label="Results: "),
              gr.Textbox(
-        label="Restulado 2", show_label=False),
-        gr.Textbox(label="Restulado 3", show_label=False)],
+        label="Resultado 2", show_label=False),
+        gr.Textbox(label="Resultado 3", show_label=False)],
     title="Salesforce Documentation Search",
     examples=[
         ["conector de instagram", "Salesforce Marketing Cloud Intelligence"],