Duplicate from sblumenf/sentence-embedding

Co-authored-by: Serge Blumenfeld <sblumenf@users.noreply.huggingface.co>

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README.md

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+---
+title: Sentence Embedding
+emoji: 🚀
+colorFrom: purple
+colorTo: gray
+sdk: gradio
+sdk_version: 3.17.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: sblumenf/sentence-embedding
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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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.inputs.Textbox(default="Type text here.")
+outputs = gr.outputs.Textbox()
+
+app = gr.Interface(fn=text_to_embedding, inputs=inputs, outputs=outputs, title="Text to Embedding")
+app.launch()

requirements.txt

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+sentence_transformers