Synced repo using 'sync_with_huggingface' Github Action

demo.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Installation"
+      ],
+      "metadata": {
+        "id": "3BsHLvatMMBp"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install -q openai\n",
+        "!pip install -q gradio"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "EEuRe-IZGfcO",
+        "outputId": "553d78e9-a5e0-4326-eba1-01e347de5a1d"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.3/70.3 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m13.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m158.8/158.8 kB\u001b[0m \u001b[31m7.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m269.3/269.3 kB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.2/114.2 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m200.1/200.1 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.7/129.7 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.8/57.8 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.2/286.2 kB\u001b[0m \u001b[31m16.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.3/75.3 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.5/50.5 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m140.5/140.5 kB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━���━━━━━━━━━━\u001b[0m \u001b[32m66.9/66.9 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.6/70.6 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Imports"
+      ],
+      "metadata": {
+        "id": "unIGGtl_MO4u"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import openai\n",
+        "import gradio as gr"
+      ],
+      "metadata": {
+        "id": "dOxJoWGvLFne"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# API Key\n",
+        "\n",
+        "openai.api_key = Replace this with your API key: https://beta.openai.com/docs/quickstart/add-your-api-key\n"
+      ],
+      "metadata": {
+        "id": "XRwvS_F2MYCZ"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "openai.api_key = \"sk-\" # Replace this with your API key: https://beta.openai.com/docs/quickstart/add-your-api-key"
+      ],
+      "metadata": {
+        "id": "ev3uSJn_MUdv"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# OpenAI Chat"
+      ],
+      "metadata": {
+        "id": "cfpMV1W7MdBW"
+      }
+    },
+    {
+      "cell_type": "code",
+      "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()"
+      ],
+      "metadata": {
+        "id": "h8EY5yomJDC_"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Gradio Interface Function"
+      ],
+      "metadata": {
+        "id": "Z8j5l3L1MgTo"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def chatbot(key, input, history=[]):\n",
+        "    openai.api_key = key\n",
+        "    output = openai_chat(input)\n",
+        "    history.append((input, output))\n",
+        "    return history, history"
+      ],
+      "metadata": {
+        "id": "njt_0emtJDJp"
+      },
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Launch Interface"
+      ],
+      "metadata": {
+        "id": "IIr6DORaMjWf"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "XuUV25fQGB0I",
+        "outputId": "677e9563-29af-41c1-d8a2-40fddffd6a02"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
+            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
+            "\n",
+            "To create a public link, set `share=True` in `launch()`.\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.Javascript object>"
+            ],
+            "application/javascript": [
+              "(async (port, path, width, height, cache, element) => {\n",
+              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
+              "                            return;\n",
+              "                        }\n",
+              "                        element.appendChild(document.createTextNode(''));\n",
+              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
+              "\n",
+              "                        const external_link = document.createElement('div');\n",
+              "                        external_link.innerHTML = `\n",
+              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
+              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
+              "                                    https://localhost:${port}${path}\n",
+              "                                </a>\n",
+              "                            </div>\n",
+              "                        `;\n",
+              "                        element.appendChild(external_link);\n",
+              "\n",
+              "                        const iframe = document.createElement('iframe');\n",
+              "                        iframe.src = new URL(path, url).toString();\n",
+              "                        iframe.height = height;\n",
+              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
+              "                        iframe.width = width;\n",
+              "                        iframe.style.border = 0;\n",
+              "                        element.appendChild(iframe);\n",
+              "                    })(7860, \"/\", \"100%\", 500, false, window.element)"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Traceback (most recent call last):\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/gradio/routes.py\", line 401, in run_predict\n",
+            "    output = await app.get_blocks().process_api(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/gradio/blocks.py\", line 1302, in process_api\n",
+            "    result = await self.call_function(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/gradio/blocks.py\", line 1025, in call_function\n",
+            "    prediction = await anyio.to_thread.run_sync(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py\", line 31, in run_sync\n",
+            "    return await get_asynclib().run_sync_in_worker_thread(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+            "    return await future\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+            "    result = context.run(func, *args)\n",
+            "  File \"<ipython-input-10-39e04040fe2f>\", line 3, in chatbot\n",
+            "    output = openai_chat(input)\n",
+            "  File \"<ipython-input-8-075d166a6c82>\", line 2, in openai_chat\n",
+            "    completions = openai.Completion.create(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/openai/api_resources/completion.py\", line 25, in create\n",
+            "    return super().create(*args, **kwargs)\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/openai/api_resources/abstract/engine_api_resource.py\", line 153, in create\n",
+            "    response, _, api_key = requestor.request(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py\", line 226, in request\n",
+            "    resp, got_stream = self._interpret_response(result, stream)\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py\", line 620, in _interpret_response\n",
+            "    self._interpret_response_line(\n",
+            "  File \"/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py\", line 683, in _interpret_response_line\n",
+            "    raise self.handle_error_response(\n",
+            "openai.error.AuthenticationError: You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.\n"
+          ]
+        }
+      ],
+      "source": [
+        "gr.Interface(fn = chatbot,\n",
+        "             inputs = [\"text\",\"text\",'state'],\n",
+        "             outputs = [\"chatbot\",'state']).launch(debug = True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "u54uD3Z8Ig-6"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}