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Download app.py from AVAT7/FRIENDS_AI_Embeddings: direct link, hf CLI and curl.
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- Download file 648 Bytes
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https://huggingface.co/spaces/AVAT7/FRIENDS_AI_Embeddings/resolve/main/app.py
- Command line
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hf download hf://spaces/AVAT7/FRIENDS_AI_Embeddings/app.py
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curl -L -o app.py https://huggingface.co/spaces/AVAT7/FRIENDS_AI_Embeddings/resolve/main/app.py
648 Bytes
| from fastapi import FastAPI | |
| from pydantic import BaseModel | |
| from sentence_transformers import SentenceTransformer | |
| import uvicorn, os | |
| MODEL_ID = os.getenv("EMB_MODEL", "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2") | |
| model = SentenceTransformer(MODEL_ID) | |
| app = FastAPI() | |
| class Req(BaseModel): | |
| texts: list[str] | |
| def health(): | |
| return {"ok": True} | |
| def emb(r: Req): | |
| if not r.texts: | |
| return {"vectors": []} | |
| vecs = model.encode(r.texts, convert_to_numpy=True).tolist() | |
| return {"vectors": vecs} | |
| if __name__ == "__main__": | |
| uvicorn.run(app, host="0.0.0.0", port=7860) |