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rag-embedder

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Update app.py

07f4b32 verified 6 months ago

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# app.py (in your HF Space)
import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("your-username/rag-embedder")

def embed(text):
    return model.encode(text).tolist()   # Returns vector

demo = gr.Interface(fn=embed, inputs="text", outputs="json")
demo.launch()

	# app.py (in your HF Space)
	import gradio as gr
	from sentence_transformers import SentenceTransformer

	model = SentenceTransformer("your-username/rag-embedder")

	def embed(text):
	return model.encode(text).tolist() # Returns vector

	demo = gr.Interface(fn=embed, inputs="text", outputs="json")
	demo.launch()