bash.ipynb

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    "\n",
    "desc = \"\"\"\n",
    "### Bash Command Suggestion\n",
    "\n",
    "Chain that ask for a command-line question and then runs the bash command. [[Code](https://github.com/srush/MiniChain/blob/main/examples/bash.py)]\n",
    "\n",
    "(Adapted from LangChain [BashChain](https://langchain.readthedocs.io/en/latest/modules/chains/examples/llm_bash.html))\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94100dff",
   "metadata": {},
   "source": [
    "$"
   ]
  },
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   "outputs": [],
   "source": [
    "from minichain import show, prompt, OpenAI, Bash"
   ]
  },
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   "source": [
    "@prompt(OpenAI(), template_file = \"bash.pmpt.tpl\")\n",
    "def cli_prompt(model, query):\n",
    "    x = model(dict(question=query))\n",
    "    return \"\\n\".join(x.strip().split(\"\\n\")[1:-1])"
   ]
  },
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   },
   "outputs": [],
   "source": [
    "@prompt(Bash())\n",
    "def bash_run(model, x):\n",
    "    return model(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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   "outputs": [],
   "source": [
    "def bash(query):\n",
    "    return bash_run(cli_prompt(query))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99d969c2",
   "metadata": {},
   "source": [
    "$"
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     "text": [
      "Running on local URL:  http://127.0.0.1:7861\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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       "<IPython.core.display.HTML object>"
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   "source": [
    "gradio = show(bash,\n",
    "              subprompts=[cli_prompt, bash_run],\n",
    "              examples=['Go up one directory, and then into the minichain directory,'\n",
    "                        'and list the files in the directory',\n",
    "                        \"Please write a bash script that prints 'Hello World' to the console.\"],\n",
    "              out_type=\"markdown\",\n",
    "              description=desc,\n",
    "              code=open(\"bash.py\", \"r\").read().split(\"$\")[1].strip().strip(\"#\").strip(),\n",
    "              )\n",
    "if __name__ == \"__main__\":\n",
    "    gradio.launch()"
   ]
  }
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