GenAIExample code structure reorg (#207)

Signed-off-by: Tian, Feng <feng.tian@intel.com>
Signed-off-by: chensuyue <suyue.chen@intel.com>

ChatQnA/chatqna.py

@@ -1,86 +0,0 @@
-# Copyright (c) 2024 Intel Corporation
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import asyncio
-import os
-
-from comps import ChatQnAGateway, MicroService, ServiceOrchestrator, ServiceType
-
-MEGA_SERVICE_HOST_IP = os.getenv("MEGA_SERVICE_HOST_IP", "0.0.0.0")
-MEGA_SERVICE_PORT = os.getenv("MEGA_SERVICE_PORT", 8888)
-EMBEDDING_SERVICE_HOST_IP = os.getenv("EMBEDDING_SERVICE_HOST_IP", "0.0.0.0")
-EMBEDDING_SERVICE_PORT = os.getenv("EMBEDDING_SERVICE_PORT", 6000)
-RETRIEVER_SERVICE_HOST_IP = os.getenv("RETRIEVER_SERVICE_HOST_IP", "0.0.0.0")
-RETRIEVER_SERVICE_PORT = os.getenv("RETRIEVER_SERVICE_PORT", 7000)
-RERANK_SERVICE_HOST_IP = os.getenv("RERANK_SERVICE_HOST_IP", "0.0.0.0")
-RERANK_SERVICE_PORT = os.getenv("RERANK_SERVICE_PORT", 8000)
-LLM_SERVICE_HOST_IP = os.getenv("LLM_SERVICE_HOST_IP", "0.0.0.0")
-LLM_SERVICE_PORT = os.getenv("LLM_SERVICE_PORT", 9000)
-
-
-class ChatQnAService:
-    def __init__(self, host="0.0.0.0", port=8000):
-        self.host = host
-        self.port = port
-        self.megaservice = ServiceOrchestrator()
-
-    def add_remote_service(self):
-        embedding = MicroService(
-            name="embedding",
-            host=EMBEDDING_SERVICE_HOST_IP,
-            port=EMBEDDING_SERVICE_PORT,
-            endpoint="/v1/embeddings",
-            use_remote_service=True,
-            service_type=ServiceType.EMBEDDING,
-        )
-        retriever = MicroService(
-            name="retriever",
-            host=RETRIEVER_SERVICE_HOST_IP,
-            port=RETRIEVER_SERVICE_PORT,
-            endpoint="/v1/retrieval",
-            use_remote_service=True,
-            service_type=ServiceType.RETRIEVER,
-        )
-        rerank = MicroService(
-            name="rerank",
-            host=RERANK_SERVICE_HOST_IP,
-            port=RERANK_SERVICE_PORT,
-            endpoint="/v1/reranking",
-            use_remote_service=True,
-            service_type=ServiceType.RERANK,
-        )
-        llm = MicroService(
-            name="llm",
-            host=LLM_SERVICE_HOST_IP,
-            port=LLM_SERVICE_PORT,
-            endpoint="/v1/chat/completions",
-            use_remote_service=True,
-            service_type=ServiceType.LLM,
-        )
-        self.megaservice.add(embedding).add(retriever).add(rerank).add(llm)
-        self.megaservice.flow_to(embedding, retriever)
-        self.megaservice.flow_to(retriever, rerank)
-        self.megaservice.flow_to(rerank, llm)
-        self.gateway = ChatQnAGateway(megaservice=self.megaservice, host="0.0.0.0", port=self.port)
-
-    async def schedule(self):
-        await self.megaservice.schedule(initial_inputs={"text": "What is the revenue of Nike in 2023?"})
-        result_dict = self.megaservice.result_dict
-        print(result_dict)
-
-
-if __name__ == "__main__":
-    chatqna = ChatQnAService(host=MEGA_SERVICE_HOST_IP, port=MEGA_SERVICE_PORT)
-    chatqna.add_remote_service()
-    asyncio.run(chatqna.schedule())