1.Fix some typos.

2.Eliminate pep8 warnings.

repodemo/.chainlit/config.toml

@@ -51,7 +51,7 @@ auto_tag_thread = true
 
 [UI]
 # Name of the assistant.
-name = "CodeGeeX4 RepoDome"
+name = "CodeGeeX4 RepoDemo"
 
 # Description of the assistant. This is used for HTML tags.
 description = "CodeGeeX4项目级能力展示"

repodemo/chainlit.md

@@ -1,6 +1,6 @@
 # CodeGeeX
 
-## Welcome to My Chat Dome Application
+## Welcome to My Chat Demo Application
 
 This is a simple demonstration application.
 

repodemo/chainlit_zh-CN.md

@@ -21,8 +21,8 @@
 1. 克隆仓库到本地
 2. 设置模型，可以选择本地模型或者api模型,如果使用本地模型需要到run_local.py里设置local_model_path
 3. 如果要用联网问答需要设置bingsearch API，在utils/bingsearch.py中设置bingsearch_api_key
-3. 安装依赖：`pip install -r requirements.txt`
-4. 运行应用：`chainlit run run.py --port 8888` 如果用本地：`chainlit run run_local.py --port 8888`
+4. 安装依赖：`pip install -r requirements.txt`
+5. 运行应用：`chainlit run run.py --port 8888` 如果用本地：`chainlit run run_local.py --port 8888`
 
 
 ## 注意

repodemo/llm/api/codegeex4.py

@@ -1,6 +1,7 @@
-import requests
 import json
 
+import requests
+
 URL = ""  # the url you deploy codegeex service
 
 

repodemo/llm/local/codegeex4.py

@@ -1,7 +1,6 @@
+import torch
 from pydantic import Field
 from transformers import AutoModel, AutoTokenizer
-from typing import Iterator
-import torch
 
 
 class CodegeexChatModel:

repodemo/readme.md

@@ -21,8 +21,8 @@
 1. 克隆仓库到本地
 2. 设置模型，可以选择本地模型或者api模型,如果使用本地模型需要到run_local.py里设置local_model_path
 3. 如果要用联网问答需要设置bingsearch API，在utils/bingsearch.py中设置bingsearch_api_key
-3. 安装依赖：`pip install -r requirements.txt`
-4. 运行应用：`chainlit run run.py --port 8888` 如果用本地：`chainlit run run_local.py --port 8888`
+4. 安装依赖：`pip install -r requirements.txt`
+5. 运行应用：`chainlit run run.py --port 8888` 如果用本地：`chainlit run run_local.py --port 8888`
 
 
 ## 注意

repodemo/run.py

@@ -1,13 +1,14 @@
 import chainlit as cl
 from chainlit.input_widget import Slider
+
 from llm.api.codegeex4 import codegeex4
 from prompts.base_prompt import (
     judge_task_prompt,
     get_cur_base_user_prompt,
     web_judge_task_prompt,
 )
-from utils.tools import unzip_file, get_project_files_with_content
 from utils.bingsearch import bing_search_prompt
+from utils.tools import unzip_file, get_project_files_with_content
 
 
 @cl.set_chat_profiles

repodemo/run_local.py

@@ -1,14 +1,14 @@
 import chainlit as cl
 from chainlit.input_widget import Slider
-from llm.api.codegeex4 import codegeex4
+
+from llm.local.codegeex4 import CodegeexChatModel
 from prompts.base_prompt import (
     judge_task_prompt,
     get_cur_base_user_prompt,
     web_judge_task_prompt,
 )
-from utils.tools import unzip_file, get_project_files_with_content
 from utils.bingsearch import bing_search_prompt
-from llm.local.codegeex4 import CodegeexChatModel
+from utils.tools import unzip_file, get_project_files_with_content
 
 local_model_path = "<your_local_model_path>"
 llm = CodegeexChatModel(local_model_path)

repodemo/utils/bingsearch.py

@@ -1,6 +1,5 @@
 import requests
 from bs4 import BeautifulSoup as BS4
-import requests
 
 BING_API_KEY = "<your_bing_api_key>"
 

repodemo/utils/tools.py

@@ -1,6 +1,6 @@
-import zipfile
-import os
 import json
+import os
+import zipfile
 
 
 def unzip_file(zip_path, extract_dir):
@@ -103,7 +103,6 @@ def filter_data(obj):
         "delphi": "{ Delphi }",
         "scheme": "; Scheme",
         "basic": "' Basic",
-        "assembly": "; Assembly",
         "groovy": "// Groovy",
         "abap": "* Abap",
         "gdscript": "# GDScript",
@@ -122,7 +121,6 @@ def filter_data(obj):
         "dockerfile": "# Dockerfile",
         "markdown": "<!-- Markdown -->",
         "cmake": "# CMake",
-        "dockerfile": "# Dockerfile",
     }
 
     programming_languages_to_file_extensions = json.load(