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import gradio as gr
from sentence_transformers import SentenceTransformer
model_Q = SentenceTransformer('sentence-transformers/all-MiniLM-L12-v2')
def text_to_embedding(text):
embedding = model_Q.encode(text)
return embedding
inputs = gr.Textbox(default="Type text here.")
outputs = gr.Textbox()
app = gr.Interface(fn=text_to_embedding, inputs=inputs, outputs=outputs, title="Text to Embedding")
app.launch()
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