Init commit

.gitignore

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+.idea

app.py

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+from typing import List
+
+import gradio as gr
+import spaces
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("nomic-ai/nomic-embed-text-v1", trust_remote_code=True, device='cuda')
+
+
+@spaces.GPU
+def embed(documents: List[str]):
+    embeddings = []
+    for document in documents:
+        embeddings.append(model.encode(document))
+    return embeddings
+
+
+with gr.Blocks() as app:
+    # Create an input text box
+    text_input = gr.Textbox(label="Enter text to embed")
+
+    # Create an output component to display the embedding
+    output = gr.JSON(label="Text Embedding")
+
+    # When the input text is submitted, call the embedding function and display the output
+    text_input.submit(embed, inputs=text_input, outputs=output)
+
+if __name__ == '__main__':
+    app.queue().launch(server_name="0.0.0.0", show_error=True, server_port=7860)

requirements.txt

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+sentence_transformers==2.6.0