Upload Chatbot.ipynb

Chatbot.ipynb

@@ -0,0 +1,96 @@
+{
+ "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
+}