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from sentence_transformers import SentenceTransformer
import gradio as gr
model = SentenceTransformer('sentence-transformers/multi-qa-mpnet-base-cos-v1')
def generate_embedding(query):
# return "Connected"
embeddings = model.encode(query)
resposne = ""
for char in embeddings.tolist():
resposne += str(char) + " "
# mySeparator = " "
# resposne = mySeparator.join(embeddings.tolist())
return resposne
demo = gr.Interface(fn=generate_embedding, inputs="text", outputs="text")
demo.launch( show_api=True) |