Create Chatbot.ipynb

Chatbot.ipynb

@@ -1,96 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import openai\n",
-    "import gradio as gr"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "openai.api_key = \"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\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def openai_chat(prompt):\n",
-    "    completions = openai.Completion.create(\n",
-    "        engine=\"text-davinci-003\",\n",
-    "        prompt=prompt,\n",
-    "        max_tokens=1024,\n",
-    "        n=1,\n",
-    "        temperature=0.5,\n",
-    "    )\n",
-    "\n",
-    "    message = completions.choices[0].text\n",
-    "    return message.strip()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def chatbot(input, history=[]):\n",
-    "    output = openai_chat(input)\n",
-    "    history.append((input, output))\n",
-    "    return history, history"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "description = \"Virtual assistant\"\n",
-    "title = \"OpenAI Chatbot\"\n",
-    "examples = [\n",
-    "    [\"Hi\", \"Hello!\"],\n",
-    "]\n",
-    "\n",
-    "interface = gr.Interface.load(\"baotoan2002/Chatbot-OpenAI\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "14958d3aee5f1cad06795f787e54b96185c25fb40dfec723a5be941f3a531b8c"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}