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Copy templates/makersuite_*.ipynb to aistudio_*.ipynb (google#368)
* Git cp - rename file to new location * Git cp - introduce a temp file * Git cp - revert temp file to original path * Correct names in nb metadata
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‎templates/aistudio_palm_prompt_chat.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Tce3stUlHN0L"
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},
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"source": [
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"##### Copyright 2023 Google LLC"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "tuOe1ymfHZPu"
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},
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"outputs": [],
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"source": [
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"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"# you may not use this file except in compliance with the License.\n",
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"# You may obtain a copy of the License at\n",
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"#\n",
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"# https://www.apache.org/licenses/LICENSE-2.0\n",
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"#\n",
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"# Unless required by applicable law or agreed to in writing, software\n",
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"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"# See the License for the specific language governing permissions and\n",
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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "kWIuwKG2_oWE"
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},
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"outputs": [],
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"source": [
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"# Install the client library and import necessary modules.\n",
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"!pip install google-generativeai\n",
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"import google.generativeai as palm\n",
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"import base64\n",
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"import json\n",
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"import pprint"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "_SvYoR3WCeKr"
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},
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"outputs": [],
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"source": [
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"# Configure the client library by providing your API key.\n",
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"palm.configure(api_key=\"YOUR API KEY\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Pwab0i0RAHBN"
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},
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"outputs": [],
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"source": [
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"# These parameters for the model call can be set by URL parameters.\n",
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"model = \"\" # @param {isTemplate: true}\n",
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"temperature = 0.25 # @param {isTemplate: true}\n",
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"candidate_count = 1 # @param {isTemplate: true}\n",
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"top_k = 40 # @param {isTemplate: true}\n",
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"top_p = 0.95 # @param {isTemplate: true}\n",
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"context_b64 = '' # @param {isTemplate: true}\n",
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"examples_b64 = \"\" # @param {isTemplate: true}\n",
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"messages_b64 = \"\" # @param {isTemplate: true}\n",
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"\n",
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"defaults = {\n",
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" 'model': model,\n",
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" 'temperature': temperature,\n",
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" 'candidate_count': candidate_count,\n",
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" 'top_k': top_k,\n",
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" 'top_p': top_p,\n",
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"}\n",
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"\n",
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"# Convert the model context from a baese64 string to a string.\n",
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"context = base64.b64decode(context_b64).decode(\"utf-8\")\n",
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"\n",
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"# Convert the model inputs from base64 strings to lists.\n",
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"examples = json.loads(base64.b64decode(examples_b64).decode(\"utf-8\"))\n",
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"messages = json.loads(base64.b64decode(messages_b64).decode(\"utf-8\"))\n",
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"\n",
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"# Show what will be sent with the API call.\n",
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"pprint.pprint(defaults | {\n",
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" 'context': context, 'examples': examples, 'messages': messages})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "LB2LxPmAB95V"
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},
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"outputs": [],
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"source": [
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"# Call the model and print the response.\n",
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"response = palm.chat(\n",
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" **defaults,\n",
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" context=context,\n",
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" examples=examples,\n",
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" messages=messages\n",
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")\n",
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"print(response.candidates[0]['content'])"
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]
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}
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],
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"metadata": {
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"colab": {
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"name": "aistudio_palm_prompt_chat.ipynb",
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"toc_visible": true
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

‎templates/aistudio_palm_prompt_text.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Tce3stUlHN0L"
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},
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"source": [
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"##### Copyright 2023 Google LLC"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "tuOe1ymfHZPu"
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},
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"outputs": [],
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"source": [
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"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"# you may not use this file except in compliance with the License.\n",
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"# You may obtain a copy of the License at\n",
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"#\n",
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"# https://www.apache.org/licenses/LICENSE-2.0\n",
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"#\n",
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"# Unless required by applicable law or agreed to in writing, software\n",
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"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"# See the License for the specific language governing permissions and\n",
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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "kWIuwKG2_oWE"
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},
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"outputs": [],
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"source": [
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"# Install the client library and import necessary modules.\n",
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"!pip install google-generativeai\n",
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"import google.generativeai as palm\n",
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"import base64\n",
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"import json\n",
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"import pprint"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "_SvYoR3WCeKr"
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},
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"outputs": [],
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"source": [
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"# Configure the client library by providing your API key.\n",
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"palm.configure(api_key=\"YOUR API KEY\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Pwab0i0RAHBN"
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},
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"outputs": [],
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"source": [
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"# These parameters for the model call can be set by URL parameters.\n",
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"model = \"\" # @param {isTemplate: true}\n",
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"temperature = 0.7 # @param {isTemplate: true}\n",
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"candidate_count = 1 # @param {isTemplate: true}\n",
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"top_k = 40 # @param {isTemplate: true}\n",
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"top_p = 0.95 # @param {isTemplate: true}\n",
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"max_output_tokens = 1024 # @param {isTemplate: true}\n",
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"text_b64 = \"\" # @param {isTemplate: true}\n",
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"stop_sequences_b64 = \"\" # @param {isTemplate: true}\n",
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"safety_settings_b64 = \"\" # @param {isTemplate: true}\n",
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"\n",
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"# Convert the prompt text param from a bae64 string to a string.\n",
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"text = base64.b64decode(text_b64).decode(\"utf-8\")\n",
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"\n",
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"# Convert the stop_sequences and safety_settings params from base64 strings to lists.\n",
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"stop_sequences = json.loads(base64.b64decode(stop_sequences_b64).decode(\"utf-8\"))\n",
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"safety_settings = json.loads(base64.b64decode(safety_settings_b64).decode(\"utf-8\"))\n",
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"\n",
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"defaults = {\n",
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" 'model': model,\n",
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" 'temperature': temperature,\n",
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" 'candidate_count': candidate_count,\n",
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" 'top_k': top_k,\n",
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" 'top_p': top_p,\n",
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" 'max_output_tokens': max_output_tokens,\n",
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" 'stop_sequences': stop_sequences,\n",
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" 'safety_settings': safety_settings,\n",
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"}\n",
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"\n",
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"# Show what will be sent with the API call.\n",
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"pprint.pprint(defaults | {'prompt': text})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "LB2LxPmAB95V"
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},
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"outputs": [],
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"source": [
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"# Call the model and print the response.\n",
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"response = palm.generate_text(\n",
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" **defaults,\n",
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" prompt=text\n",
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")\n",
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"print(response.candidates[0]['output'])"
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]
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}
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],
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"metadata": {
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"colab": {
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"name": "aistudio_palm_prompt_text.ipynb",
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"toc_visible": true
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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