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random-forests authored May 14, 2024
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "Tce3stUlHN0L"
},
"source": [
"##### Copyright 2024 Google LLC."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"cellView": "form",
"id": "tuOe1ymfHZPu"
},
"outputs": [],
"source": [
"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# https://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "084u8u0DpBlo"
},
"source": [
"# Prompting with an Apollo 11 transcript"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "wnQ_LVlzIeXo"
},
"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Video.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "q7QvXQMrIhuZ"
},
"source": [
"This notebook provides a quick example of how to prompt Gemini 1.5 Pro using a text file. In this case, you'll use a 400 page transcript from [Apollo 11](https://www.nasa.gov/history/alsj/a11/a11trans.html)."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "qLuL9m7KhvxR"
},
"outputs": [],
"source": [
"!pip install -U -q google-generativeai"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"id": "ATIbQM0NHhkj"
},
"outputs": [],
"source": [
"import google.generativeai as genai"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "l8g4hTRotheH"
},
"source": [
"### Setup your API key\n",
"\n",
"To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) for an example."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"id": "d6lYXRcjthKV"
},
"outputs": [],
"source": [
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"genai.configure(api_key=GOOGLE_API_KEY)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MNvhBdoDFnTC"
},
"source": [
"Download the transcript."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"id": "V4XeFdX1rxaE"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2024-05-14 20:12:01-- https://storage.googleapis.com/generativeai-downloads/data/a11.txt\n",
"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.99.207, 142.250.107.207, 173.194.202.207, ...\n",
"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.99.207|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 847790 (828K) [text/plain]\n",
"Saving to: ‘a11.txt.2’\n",
"\n",
"\ra11.txt.2 0%[ ] 0 --.-KB/s \ra11.txt.2 100%[===================>] 827.92K --.-KB/s in 0.009s \n",
"\n",
"2024-05-14 20:12:01 (90.5 MB/s) - ‘a11.txt.2’ saved [847790/847790]\n",
"\n"
]
}
],
"source": [
"!wget https://storage.googleapis.com/generativeai-downloads/data/a11.txt"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZoiKgO2CswzA"
},
"source": [
"Prepare it for use in a prompt."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"id": "_HzrDdp2Q1Cu"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading file...\n",
"Completed upload: https://generativelanguage.googleapis.com/v1beta/files/7w6ag8dszigf\n"
]
}
],
"source": [
"text_file_name = \"a11.txt\"\n",
"print(f\"Uploading file...\")\n",
"text_file = genai.upload_file(path=text_file_name)\n",
"print(f\"Completed upload: {text_file.uri}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EPPOECHzsIGJ"
},
"source": [
"## Generate Content\n",
"\n",
"After the file has been uploaded, you can make `GenerateContent` requests that reference the File API URI. We'll ask the model to find a few lighthearted moments."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"id": "ZYVFqmLkl5nE"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This is a very technical document and doesn't contain many explicitly lighthearted moments, but here are four instances where humor can be found:\n",
"\n",
"1. **00 00 03 36 CDR\n",
"Yes. They finally gave me a window to look out.** - Neil Armstrong's dry humor about finally getting a window to see out of is a bit of lightheartedness during a very serious procedure.\n",
"\n",
"2. **00 05 20 31 CMP\n",
"If we're late in answering you, it's because we're munching sandwiches.** - This comment from Michael Collins shows the astronauts taking a moment to enjoy a snack, even amidst their mission duties.\n",
"\n",
"3. **01 03 23 00 CC\n",
"(Laughing.) A lot of gray paint.** - The capsule communicator's laughter at Buzz Aldrin's question about a possible Navy term for the reflection of the sun on the ocean is a lighthearted moment of shared humor.\n",
"\n",
"4. **02 08 03 53 CC\n",
"Roger. We haven't quite got that before the 50,000,000 TV audience, yet.** - This humorous remark by the capsule communicator in response to Buzz Aldrin's comment about his pants falling down is another example of shared humor and a lighthearted moment during the LM inspection.\n",
"\n",
"These moments, though subtle, offer a glimpse into the camaraderie and good humor of the astronauts and ground crew, even under the immense pressure of the Apollo 11 mission. \n",
"\n"
]
}
],
"source": [
"prompt = \"Find four lighthearted moments in this text file.\"\n",
"\n",
"model = genai.GenerativeModel(model_name=\"models/gemini-1.5-pro-latest\")\n",
"\n",
"response = model.generate_content([prompt, text_file],\n",
" request_options={\"timeout\": 600})\n",
"print(response.text)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IrPDYdQSKTg4"
},
"source": [
"## Delete File\n",
"\n",
"Files are automatically deleted after 2 days or you can manually delete them using `files.delete()`."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"id": "d4eO8ZXoKdZf"
},
"outputs": [],
"source": [
"genai.delete_file(text_file.name)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "K5oUCqb6IUnH"
},
"source": [
"## Learning more\n",
"\n",
"The File API accepts files under 2GB in size and can store up to 20GB of files per project. Learn more about the [File API](https://github.com/google-gemini/cookbook/blob/main/quickstarts/File_API.ipynb) here."
]
}
],
"metadata": {
"colab": {
"name": "Apollo_11.ipynb",
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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