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

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/examples/full_stack/backend/routes/chat_response.py

@@ -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)

embedchain/examples/full_stack/backend/routes/dashboard.py

@@ -0,0 +1,72 @@
+from flask import Blueprint, jsonify, make_response, request
+from models import APIKey, BotList, db
+
+dashboard_bp = Blueprint("dashboard", __name__)
+
+
+# Set Open AI Key
+@dashboard_bp.route("/api/set_key", methods=["POST"])
+def set_key():
+    data = request.get_json()
+    api_key = data["openAIKey"]
+    existing_key = APIKey.query.first()
+    if existing_key:
+        existing_key.key = api_key
+    else:
+        new_key = APIKey(key=api_key)
+        db.session.add(new_key)
+    db.session.commit()
+    return make_response(jsonify(message="API key saved successfully"), 200)
+
+
+# Check OpenAI Key
+@dashboard_bp.route("/api/check_key", methods=["GET"])
+def check_key():
+    existing_key = APIKey.query.first()
+    if existing_key:
+        return make_response(jsonify(status="ok", message="OpenAI Key exists"), 200)
+    else:
+        return make_response(jsonify(status="fail", message="No OpenAI Key present"), 200)
+
+
+# Create a bot
+@dashboard_bp.route("/api/create_bot", methods=["POST"])
+def create_bot():
+    data = request.get_json()
+    name = data["name"]
+    slug = name.lower().replace(" ", "_")
+    existing_bot = BotList.query.filter_by(slug=slug).first()
+    if existing_bot:
+        return (make_response(jsonify(message="Bot already exists"), 400),)
+    new_bot = BotList(name=name, slug=slug)
+    db.session.add(new_bot)
+    db.session.commit()
+    return make_response(jsonify(message="Bot created successfully"), 200)
+
+
+# Delete a bot
+@dashboard_bp.route("/api/delete_bot", methods=["POST"])
+def delete_bot():
+    data = request.get_json()
+    slug = data.get("slug")
+    bot = BotList.query.filter_by(slug=slug).first()
+    if bot:
+        db.session.delete(bot)
+        db.session.commit()
+        return make_response(jsonify(message="Bot deleted successfully"), 200)
+    return make_response(jsonify(message="Bot not found"), 400)
+
+
+# Get the list of bots
+@dashboard_bp.route("/api/get_bots", methods=["GET"])
+def get_bots():
+    bots = BotList.query.all()
+    bot_list = []
+    for bot in bots:
+        bot_list.append(
+            {
+                "name": bot.name,
+                "slug": bot.slug,
+            }
+        )
+    return jsonify(bot_list)

embedchain/examples/full_stack/backend/routes/sources.py

@@ -0,0 +1,27 @@
+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
+
+sources_bp = Blueprint("sources", __name__)
+
+
+# API route to add data sources
+@sources_bp.route("/api/add_sources", methods=["POST"])
+def add_sources():
+    try:
+        embedding_model = request.json.get("embedding_model")
+        name = request.json.get("name")
+        value = request.json.get("value")
+        if embedding_model == "open_ai":
+            os.chdir(DB_DIRECTORY_OPEN_AI)
+            api_key = APIKey.query.first().key
+            os.environ["OPENAI_API_KEY"] = api_key
+            chat_bot = App()
+        chat_bot.add(name, value)
+        return make_response(jsonify(message="Sources added successfully"), 200)
+    except Exception as e:
+        return make_response(jsonify(message=f"Error adding sources: {str(e)}"), 400)