Update main.py
Browse files
main.py
CHANGED
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@@ -1,32 +1,29 @@
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import os
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import subprocess
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import threading
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import shlex
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import gradio as gr
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import requests
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import json
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# 仓库路径
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REPO_URL = "https://hf-mirror.com/HOPStudio/modelscope"
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REPO_PATH = "/root/modelscope"
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# 当前 shell 工作目录
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CURRENT_DIR = REPO_PATH
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# 确保克隆仓库
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# 修复:
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# 1. 禁用 git lfs smudge
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# 2. 禁用 xet
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# 3. 避免 frp 下载失败
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# =====================================
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def clone_repository():
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if os.path.exists(REPO_PATH):
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print(f"仓库
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-
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try:
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print(f"正在克隆仓库到 {REPO_PATH}...")
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env = os.environ.copy()
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env["GIT_LFS_SKIP_SMUDGE"] = "1"
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@@ -46,24 +43,15 @@ def clone_repository():
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return False
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# =====================================
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# 支持 cd 命令的 shell 执行器
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# =====================================
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def execute_shell_command(command):
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global CURRENT_DIR
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command = command.strip()
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# =========================
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# 处理 cd 命令
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# =========================
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if command.startswith("cd "):
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path = command[3:].strip()
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-
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# 支持 ~
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path = os.path.expanduser(path)
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# 相对路径 -> 绝对路径
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if not os.path.isabs(path):
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path = os.path.join(CURRENT_DIR, path)
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@@ -72,12 +60,8 @@ def execute_shell_command(command):
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if os.path.isdir(path):
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CURRENT_DIR = path
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return f"已切换目录: {CURRENT_DIR}"
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return f"目录不存在: {path}"
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# =========================
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# 执行普通命令
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# =========================
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try:
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result = subprocess.run(
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command,
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@@ -99,37 +83,21 @@ def execute_shell_command(command):
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return f"执行命令时发生错误: {str(e)}"
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# =====================================
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# API 请求函数
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# =====================================
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def api_call(input_text, model="internlm2.5-latest", temperature=0.8, top_p=0.9, n=1):
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api_token = os.getenv("API_TOKEN")
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if not api_token:
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return "API token 未设置,请检查环境变量。"
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-
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# =========================
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# CMD 模式
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# 使用:
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# cmd_run ls
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# cmd_run cd /root
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# =========================
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if input_text.startswith("cmd_run "):
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command = input_text[len("cmd_run "):].strip()
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if "sudo" in command:
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print("警告: 正在使用 sudo 命令")
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return execute_shell_command(command)
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-
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-
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url =
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headers = {
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}
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data = {
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@@ -153,7 +121,6 @@ def api_call(input_text, model="internlm2.5-latest", temperature=0.8, top_p=0.9,
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)
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response.raise_for_status()
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return response.json()["choices"][0]["message"]["content"]
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except requests.exceptions.HTTPError as http_err:
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@@ -169,9 +136,6 @@ def api_call(input_text, model="internlm2.5-latest", temperature=0.8, top_p=0.9,
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return f"未知错误: {str(e)}"
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# =====================================
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# 创建 frpc.toml
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# =====================================
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def create_frpc_toml():
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frpc_toml_path = os.path.join(REPO_PATH, "frpc.toml")
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@@ -196,23 +160,16 @@ localPort = 8188
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remotePort = 8188
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"""
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if os.path.exists(frpc_toml_path):
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print(f"配置文件已存在: {frpc_toml_path}")
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return
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try:
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with open(frpc_toml_path,
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file.write(toml_content)
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print(f"frpc.toml 创建
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except Exception as e:
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print(f"创建 frpc.toml 时出错: {e}")
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# =====================================
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# 安装 frp
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# =====================================
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def install_frp():
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frp_tar_path = os.path.join(
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REPO_PATH,
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@@ -230,11 +187,10 @@ def install_frp():
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if not os.path.exists(frp_tar_path):
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print(f"未找到 frp ��装包: {frp_tar_path}")
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print("请手动上传 frp_0.61.0_linux_amd64.tar.gz")
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return False
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try:
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print("正在解压 frp...")
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subprocess.run(
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["tar", "-xvzf", frp_tar_path, "-C", REPO_PATH],
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@@ -249,14 +205,11 @@ def install_frp():
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return False
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# =====================================
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# 启动 JupyterLab
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# =====================================
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def start_jupyterlab_process():
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jupyter_script = os.path.join(REPO_PATH, "start_jupyterlab.py")
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if not os.path.exists(jupyter_script):
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print(f"找
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return
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try:
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@@ -267,55 +220,50 @@ def start_jupyterlab_process():
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text=True
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)
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print("JupyterLab
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except Exception as e:
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print(f"启动 JupyterLab 出错: {str(e)}")
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# =====================================
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# 启动 frp
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# =====================================
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def start_frp():
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frpc_path = os.path.join(
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REPO_PATH,
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"frp_0.61.0_linux_amd64
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)
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frpc_config_path = os.path.join(REPO_PATH, "frpc.toml")
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if not os.path.exists(frpc_path):
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print("frpc 不存在")
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return
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if not os.path.exists(frpc_config_path):
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create_frpc_toml()
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try:
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subprocess.Popen(
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frpc_path,
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print("frp 已启动")
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except Exception as e:
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print(f"启动 frp 出错: {str(e)}")
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# =====================================
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# 启动 Gradio
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# =====================================
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def start_gradio():
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with gr.Blocks() as demo:
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gr.Markdown("# InternLM 控制台")
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with gr.Row():
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input_box = gr.Textbox(
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label="输入",
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placeholder="输入对话或 cmd_run 命令"
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)
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with gr.Row():
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)
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# =====================================
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# 主函数
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# =====================================
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def main():
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create_frpc_toml()
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frp_thread = threading.Thread(
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if __name__ == "__main__":
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main()
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import os
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import subprocess
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import threading
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import gradio as gr
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import requests
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import json
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import shutil
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REPO_URL = "https://hf-mirror.com/HOPStudio/modelscope"
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REPO_PATH = "/root/modelscope"
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CURRENT_DIR = REPO_PATH
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def clone_repository():
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if os.path.exists(REPO_PATH):
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print(f"检测到已有仓库目录,正在清空: {REPO_PATH}")
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try:
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shutil.rmtree(REPO_PATH)
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print("原仓库目录已清空。")
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except Exception as e:
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print(f"清空原仓库目录失败: {e}")
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return False
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try:
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print(f"正在强制克隆仓库到 {REPO_PATH}...")
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env = os.environ.copy()
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env["GIT_LFS_SKIP_SMUDGE"] = "1"
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return False
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def execute_shell_command(command):
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global CURRENT_DIR
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command = command.strip()
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if command.startswith("cd "):
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path = command[3:].strip()
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path = os.path.expanduser(path)
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if not os.path.isabs(path):
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path = os.path.join(CURRENT_DIR, path)
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if os.path.isdir(path):
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CURRENT_DIR = path
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return f"已切换目录: {CURRENT_DIR}"
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return f"目录不存在: {path}"
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try:
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result = subprocess.run(
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command,
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return f"执行命令时发生错误: {str(e)}"
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def api_call(input_text, model="internlm2.5-latest", temperature=0.8, top_p=0.9, n=1):
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api_token = os.getenv("API_TOKEN")
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if input_text.startswith("cmd_run "):
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command = input_text[len("cmd_run "):].strip()
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return execute_shell_command(command)
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if not api_token:
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return "API token 未设置,请检查环境变量。"
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url = "https://internlm-chat.intern-ai.org.cn/puyu/api/v1/chat/completions"
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_token}"
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}
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data = {
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)
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response.raise_for_status()
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return response.json()["choices"][0]["message"]["content"]
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except requests.exceptions.HTTPError as http_err:
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return f"未知错误: {str(e)}"
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def create_frpc_toml():
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frpc_toml_path = os.path.join(REPO_PATH, "frpc.toml")
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remotePort = 8188
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"""
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try:
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with open(frpc_toml_path, "w", encoding="utf-8") as file:
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file.write(toml_content)
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print(f"frpc.toml 配置文件已创建: {frpc_toml_path}")
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except Exception as e:
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print(f"创建 frpc.toml 配置文件时出错: {e}")
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def install_frp():
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frp_tar_path = os.path.join(
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REPO_PATH,
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if not os.path.exists(frp_tar_path):
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print(f"未找到 frp ��装包: {frp_tar_path}")
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return False
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try:
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print(f"正在解压 frp 安装包到 {REPO_PATH}...")
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subprocess.run(
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["tar", "-xvzf", frp_tar_path, "-C", REPO_PATH],
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return False
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def start_jupyterlab_process():
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jupyter_script = os.path.join(REPO_PATH, "start_jupyterlab.py")
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if not os.path.exists(jupyter_script):
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print(f"无法找到 {jupyter_script}")
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return
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try:
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text=True
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)
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print("JupyterLab 启动进程已开始。")
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except Exception as e:
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print(f"启动 JupyterLab 进程时出错: {str(e)}")
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def start_frp():
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frpc_path = os.path.join(
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REPO_PATH,
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"frp_0.61.0_linux_amd64",
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"frpc"
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)
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frpc_config_path = os.path.join(REPO_PATH, "frpc.toml")
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if not os.path.exists(frpc_path):
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print("frpc 可执行文件不存在,请检查路径。")
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return
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if not os.path.exists(frpc_config_path):
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create_frpc_toml()
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try:
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subprocess.Popen(
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[frpc_path, "-c", frpc_config_path],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True
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)
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print("frp 已启动。")
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except Exception as e:
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print(f"启动 frp 时出错: {str(e)}")
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def start_gradio():
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with gr.Blocks() as demo:
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gr.Markdown("# InternLM 控制台")
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with gr.Row():
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input_box = gr.Textbox(
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label="输入",
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placeholder="输入对话内容,或使用 cmd_run 执行命令"
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)
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with gr.Row():
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| 327 |
)
|
| 328 |
|
| 329 |
|
|
|
|
|
|
|
|
|
|
| 330 |
def main():
|
| 331 |
+
global CURRENT_DIR
|
| 332 |
|
| 333 |
+
clone_success = clone_repository()
|
| 334 |
|
| 335 |
+
if clone_success:
|
| 336 |
+
CURRENT_DIR = REPO_PATH
|
| 337 |
+
|
| 338 |
+
install_frp()
|
| 339 |
create_frpc_toml()
|
| 340 |
|
| 341 |
frp_thread = threading.Thread(
|
|
|
|
| 355 |
|
| 356 |
|
| 357 |
if __name__ == "__main__":
|
| 358 |
+
main()
|
|
|