Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
This commit is contained in:
Taranjeet Singh
2024-07-12 07:51:33 -07:00
committed by GitHub
parent 83e8c97295
commit f842a92e25
665 changed files with 9427 additions and 6592 deletions

View File

@@ -0,0 +1,32 @@
import os
from flask import Blueprint, jsonify, make_response, request
from models import APIKey
from paths import DB_DIRECTORY_OPEN_AI
from embedchain import App
chat_response_bp = Blueprint("chat_response", __name__)
# Chat Response for user query
@chat_response_bp.route("/api/get_answer", methods=["POST"])
def get_answer():
try:
data = request.get_json()
query = data.get("query")
embedding_model = data.get("embedding_model")
app_type = data.get("app_type")
if embedding_model == "open_ai":
os.chdir(DB_DIRECTORY_OPEN_AI)
api_key = APIKey.query.first().key
os.environ["OPENAI_API_KEY"] = api_key
if app_type == "app":
chat_bot = App()
response = chat_bot.chat(query)
return make_response(jsonify({"response": response}), 200)
except Exception as e:
return make_response(jsonify({"error": str(e)}), 400)