Upload 2 files

app.py

@@ -1,11 +1,12 @@
 import gradio as gr
+import numpy as np
 from InstructorEmbedding import INSTRUCTOR
 
 model = INSTRUCTOR('hkunlp/instructor-xl')
 
 def create_embedding(query_instruction, query):
-    embeddings = model.encode([[query_instruction, query]]).tolist()
-    print("Embeddings:", embeddings)
+    embeddings = model.encode([[query_instruction, query]])[0].tolist()
+    #embeddings_array = np.array(embeddings)
     return embeddings
 
 instructor_model_embeddings = gr.Interface(
@@ -14,6 +15,6 @@ instructor_model_embeddings = gr.Interface(
         gr.inputs.Textbox(label="Query_Instruction"),
         gr.inputs.Textbox(label="Query")
     ],
-    outputs="text",
+    outputs="list",
     title="API-Instructor-XL-1",
 ).launch()

requirements.txt

@@ -1,2 +1,3 @@
+numpy
 InstructorEmbedding 
-sentence_transformers
+sentence_transformers