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{
"nbformat": 4,
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"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": [
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"\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",
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"\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": []
}
]
}
|