build python version rag-flow (#21)

* clean rust version project

* clean rust version project

* build python version rag-flow

rag/llm/chat_model.py

@@ -0,0 +1,52 @@
+#
+#  Copyright 2019 The FATE Authors. All Rights Reserved.
+#
+#  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.
+#
+from abc import ABC
+from openai import OpenAI
+import os
+
+
+class Base(ABC):
+    def chat(self, system, history, gen_conf):
+        raise NotImplementedError("Please implement encode method!")
+
+
+class GptTurbo(Base):
+    def __init__(self):
+        self.client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
+
+    def chat(self, system, history, gen_conf):
+        history.insert(0, {"role": "system", "content": system})
+        res = self.client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=history,
+            **gen_conf)
+        return res.choices[0].message.content.strip()
+
+
+class QWenChat(Base):
+    def chat(self, system, history, gen_conf):
+        from http import HTTPStatus
+        from dashscope import Generation
+        # export DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_KEY
+        history.insert(0, {"role": "system", "content": system})
+        response = Generation.call(
+            Generation.Models.qwen_turbo,
+            messages=history,
+            result_format='message'
+        )
+        if response.status_code == HTTPStatus.OK:
+            return response.output.choices[0]['message']['content']
+        return response.message