Upload app.py

app.py

@@ -98,15 +98,17 @@ def generate_results(input):
   df_output = pd.read_json(dataframe_output(cosine_sum_by_name))
   print(df_output)
   # df_output = dataframe_output(cosine_sum_by_name)
+  top_10 = top_10[['name','id', 'tokenized_sentences', 'cos_sim' ]]
+  sentence_output = pd.read_json(dataframe_output(top_10))
   print("JSON created...")
   subset = df_output.head(10)  # Select the first 10 rows
 
-  return subset
+  return subset, sentence_output
 
 iface = gr.Interface(
     fn=generate_results,
     inputs=gr.inputs.Textbox(label="What kind of mentor are you looking for?"),
-    outputs=gr.outputs.Dataframe(type="pandas"),
+    outputs=[gr.outputs.Dataframe(type="pandas"), gr.outputs.Dataframe(type="pandas")],
     title="SharpestMinds Mentor Recommender Semantic Search App",
     description="Converts a string query into an embedding, and then compares the aggregate cosine similarity by mentor.",
 )