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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).tolist()
# resposne = ""
# for(char in embeddings):
# resposne += char + " "
mySeparator = " "
resposne = mySeparator.join(embeddings)
return resposne
demo = gr.Interface(fn=generate_embedding, inputs="text", outputs="text")
demo.launch( show_api=True) |