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app.py

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+import gradio as gr
+from InstructorEmbedding import INSTRUCTOR
+
+model = INSTRUCTOR('hkunlp/instructor-xl')
+
+def create_embedding(instruction, sentence):
+    embeddings = model.encode([[instruction, sentence]])
+    print("Embeddings:", embeddings)
+    return embeddings
+
+instructor_model_embeddings = gr.Interface(
+    fn=create_embedding,
+    inputs=[
+        gr.inputs.Textbox(label="Query_Instruction"),
+        gr.inputs.Textbox(label="Query")
+    ],
+    outputs="text",
+    title="API-Instructor-XL-1",
+).launch()

requirements.txt

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+InstructorEmbedding 
+sentence_transformers