Evan Reichard
ca8c306534
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36 lines
690 B
Python
36 lines
690 B
Python
import minyma
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from flask import Blueprint, request
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bp = Blueprint("v1", __name__, url_prefix="/api/v1")
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"""
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Return OpenAI LLM final response with vector db embedding
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context
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"""
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@bp.route("/query", methods=["POST"])
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def get_response():
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data = request.get_json()
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if not data:
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return {"error": "Missing Message"}
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message = str(data.get("message"))
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if message == "":
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return {"error": "Empty Message"}
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resp = minyma.oai.query(message)
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# Return Data
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return resp
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"""
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TODO - Embeds and loads data into the local ChromaDB.
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{
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"input": "string",
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"normalizer": "string",
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}
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"""
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bp.route("/embed", methods=["POST"])
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def post_embeddings():
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pass
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