Merge branch 'dev' of https://github.com/csunny/DB-GPT into dev

.gitignore

@@ -129,3 +129,5 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+.DS_Store
+logs

README.md

@@ -3,10 +3,24 @@ A Open Database-GPT Experiment
 
 ![GitHub Repo stars](https://img.shields.io/github/stars/csunny/db-gpt?style=social)
 
+
 DB-GPT is an experimental open-source application that builds upon the fastchat model and uses vicuna as its base model. Additionally, it looks like this application incorporates langchain and llama-index embedding knowledge to improve Database-QA capabilities. 
 
 Overall, it appears to be a sophisticated and innovative tool for working with databases. If you have any specific questions about how to use or implement DB-GPT in your work, please let me know and I'll do my best to assist you.
 
+Run on an RTX 4090 GPU (The origin mov not sped up!, [YouTube地址](https://www.youtube.com/watch?v=1PWI6F89LPo))
+- 运行演示
+
+![](https://github.com/csunny/DB-GPT/blob/dev/asserts/演示.gif)
+
+- SQL生成示例
+
+<img src="https://github.com/csunny/DB-GPT/blob/dev/asserts/sql_generate.png" width="600" margin-left="auto" margin-right="auto" >
+
+- 数据库QA示例 
+
+<img src="https://github.com/csunny/DB-GPT/blob/dev/asserts/DB_QA.png" margin-left="auto" margin-right="auto" width="600">
+
 # Install
 1. Run model server
 ```
@@ -16,10 +30,10 @@ python vicuna_server.py
 
 2. Run gradio webui
 ```
-python app.py 
+python webserver.py 
 ```
 
 # Featurs
 - SQL-Generate
 - Database-QA Based Knowledge 
-- SQL-diagnosis
+- SQL-diagnosis

pilot/conversation.py

@@ -89,8 +89,8 @@ class Conversation:
 
 
 conv_one_shot = Conversation(
-    system="A chat between a curious human and an artificial intelligence assistant."
-    "The assistant gives helpful, detailed and polite answers to the human's questions. ",
+    system="A chat between a curious human and an artificial intelligence assistant, who very familiar with database related knowledge. "
+    "The assistant gives helpful, detailed, professional and polite answers to the human's questions. ",
     roles=("Human", "Assistant"),
     messages=(
         (
@@ -123,8 +123,8 @@ conv_one_shot = Conversation(
 )
 
 conv_vicuna_v1 = Conversation(
-    system = "A chat between a curious user and an artificial intelligence assistant. "
-    "The assistant gives helpful, detailed and polite answers to the user's questions. ",
+    system = "A chat between a curious user and an artificial intelligence assistant. who very familiar with database related knowledge. "
+    "The assistant gives helpful, detailed, professional and polite answers to the user's questions. ",
     roles=("USER", "ASSISTANT"),
     messages=(),
     offset=0,