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Fix notebooks #445

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Fix notebooks #445

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5711531
Use colab userdata.get cells for api keys
MarkDaoust May 31, 2024
795e69f
use specific model name
MarkDaoust May 31, 2024
a3c6e00
fix notebooks
MarkDaoust May 31, 2024
917a6bc
add missing installs?
MarkDaoust May 31, 2024
06cea74
fix
MarkDaoust May 31, 2024
c6cc0b2
format
MarkDaoust May 31, 2024
196d252
Fix models and api keys.
MarkDaoust May 31, 2024
b37168c
fix key variable
MarkDaoust May 31, 2024
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8 changes: 4 additions & 4 deletions examples/gemini/python/langchain/Gemini_LangChain_QA_Chroma_WebLoad.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
}
],
"source": [
"!pip install --quiet langchain"
"!pip install --quiet langchain langchain-community"
]
},
{
Expand Down Expand Up @@ -221,10 +221,10 @@
],
"source": [
"# Run this cell and paste the API key in the prompt\n",
"import os\n",
"import getpass\n",
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"\n",
"os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
"genai.configure(api_key=GOOGLE_API_KEY)"
]
},
{
Expand Down
17 changes: 10 additions & 7 deletions examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb
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Expand Up @@ -110,7 +110,7 @@
}
],
"source": [
"!pip install --quiet langchain"
"!pip install --quiet langchain langchain-community"
]
},
{
Expand Down Expand Up @@ -153,7 +153,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/211.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m194.6/211.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.0/211.0 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/211.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m194.6/211.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.0/211.0 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h"
]
}
Expand Down Expand Up @@ -182,7 +184,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/201.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m194.6/201.4 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m201.4/201.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/201.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m194.6/201.4 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m201.4/201.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h"
]
}
Expand Down Expand Up @@ -222,10 +226,9 @@
],
"source": [
"# Run this cell and paste the API key in the prompt\n",
"import os\n",
"import getpass\n",
"\n",
"os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"genai.configure(api_key=GOOGLE_API_KEY)"
]
},
{
Expand Down
8 changes: 4 additions & 4 deletions examples/gemini/python/langchain/Gemini_LangChain_Summarization_WebLoad.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -107,7 +107,7 @@
}
],
"source": [
"!pip install --quiet langchain"
"!pip install --quiet langchain langchain-community"
]
},
{
Expand Down Expand Up @@ -168,10 +168,10 @@
],
"source": [
"# Run this cell and paste the API key in the prompt\n",
"import os\n",
"import getpass\n",
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"\n",
"os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
"genai.configure(api_key=GOOGLE_API_KEY)"
]
},
{
Expand Down
40 changes: 26 additions & 14 deletions examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb
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Expand Up @@ -97,7 +97,7 @@
"outputs": [],
"source": [
"# This guide was tested with 0.10.17, but feel free to try newer versions.\n",
"!pip install -q llama-index==0.10.17"
"!pip install -q llama-index==0.10.17 llama-index-vector-stores-chroma"
]
},
{
Expand Down Expand Up @@ -194,27 +194,39 @@
"In this tutorial, you will set the variable `gemini_api_key` to configure Gemini to use your API key."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "d3316f4b3b5e"
},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Wp3pYcnh60vt"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Gemini API Key:··········\n"
]
}
],
"outputs": [],
"source": [
"# Run this cell and paste the API key in the prompt\n",
"import os\n",
"import getpass\n",
"\n",
"gemini_api_key = getpass.getpass('Gemini API Key:')"
"from google.colab import userdata\n",
"os.environ['GOOGLE_API_KEY'] = userdata.get('GOOGLE_API_KEY')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "9f968d66b8cf"
},
"outputs": [],
"source": [
"gemini_api_key = os.environ['GOOGLE_API_KEY']"
]
},
{
Expand Down
5 changes: 2 additions & 3 deletions examples/gemini/python/vectordb_with_chroma/vectordb_with_chroma.ipynb
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Expand Up @@ -140,9 +140,6 @@
"import google.generativeai as genai\n",
"import google.ai.generativelanguage as glm\n",
"\n",
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"from IPython.display import Markdown\n",
"from chromadb import Documents, EmbeddingFunction, Embeddings"
]
Expand Down Expand Up @@ -175,7 +172,9 @@
},
"outputs": [],
"source": [
"# Used to securely store your API key\n",
"# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
"from google.colab import userdata\n",
"API_KEY=userdata.get('API_KEY')\n",
"\n",
"genai.configure(api_key=API_KEY)"
Expand Down
20 changes: 15 additions & 5 deletions site/en/examples/chat_calculator.ipynb
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Expand Up @@ -127,8 +127,20 @@
},
"outputs": [],
"source": [
"import google.generativeai as genai\n",
"genai.configure(api_key=\"YOUR API KEY\")"
"import google.generativeai as genai"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "75c7d4b67511"
},
"outputs": [],
"source": [
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"genai.configure(api_key=GOOGLE_API_KEY)"
]
},
{
Expand All @@ -139,9 +151,7 @@
},
"outputs": [],
"source": [
"models = [m for m in genai.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
"model = models[0].name\n",
"print(model)"
"model = 'models/chat-bison-001'"
]
},
{
Expand Down
18 changes: 14 additions & 4 deletions site/en/examples/text_calculator.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -107,7 +107,6 @@
"outputs": [],
"source": [
"import google.generativeai as genai\n",
"genai.configure(api_key='YOUR API KEY')\n",
"\n",
"from google.api_core import retry\n",
"\n",
Expand All @@ -116,6 +115,19 @@
" return genai.generate_text(*args, **kwargs)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "14c8b88a75ef"
},
"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": "code",
"execution_count": 3,
Expand All @@ -132,9 +144,7 @@
}
],
"source": [
"models = [m for m in genai.list_models() if 'generateText' in m.supported_generation_methods]\n",
"model = models[0].name\n",
"print(model)"
"model = 'models/text-bison-001'"
]
},
{
Expand Down
5 changes: 1 addition & 4 deletions site/en/gemini-api/docs/model-tuning/python.ipynb
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Expand Up @@ -265,10 +265,7 @@
}
],
"source": [
"base_model = [\n",
" m for m in genai.list_models()\n",
" if \"createTunedModel\" in m.supported_generation_methods][0]\n",
"base_model"
"base_model = genai.get_model('models/gemini-1.0-pro-001')\n"
]
},
{
Expand Down
9 changes: 7 additions & 2 deletions site/en/gemini-api/docs/model-tuning/rest.ipynb
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Expand Up @@ -287,7 +287,9 @@
"text": [
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r100 2280 0 296 100 1984 611 4098 --:--:-- --:--:-- --:--:-- 4720\n"
"\r",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r",
"100 2280 0 296 100 1984 611 4098 --:--:-- --:--:-- --:--:-- 4720\n"
]
}
],
Expand Down Expand Up @@ -437,7 +439,10 @@
"text": [
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r100 5921 0 5921 0 0 13164 0 --:--:-- --:--:-- --:--:-- 13157\n"
"\r",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r",
"100 5921 0 5921 0 0 13164 0 --:--:-- --:--:-- --:--:-- 13157\n"
]
}
],
Expand Down
6 changes: 3 additions & 3 deletions site/en/gemini-api/tutorials/anomaly_detection.ipynb
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Expand Up @@ -113,9 +113,6 @@
"import google.generativeai as genai\n",
"import google.ai.generativelanguage as glm\n",
"\n",
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"from sklearn.datasets import fetch_20newsgroups\n",
"from sklearn.manifold import TSNE"
]
Expand Down Expand Up @@ -148,6 +145,9 @@
},
"outputs": [],
"source": [
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
"API_KEY=userdata.get('API_KEY')\n",
"\n",
Expand Down
6 changes: 3 additions & 3 deletions site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
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Expand Up @@ -114,9 +114,6 @@
"import google.generativeai as genai\n",
"import google.ai.generativelanguage as glm\n",
"\n",
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"from sklearn.datasets import fetch_20newsgroups\n",
"from sklearn.manifold import TSNE\n",
"from sklearn.cluster import KMeans\n",
Expand Down Expand Up @@ -151,6 +148,9 @@
},
"outputs": [],
"source": [
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
"API_KEY=userdata.get('API_KEY')\n",
"\n",
Expand Down
6 changes: 3 additions & 3 deletions site/en/gemini-api/tutorials/document_search.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -111,9 +111,6 @@
"import google.generativeai as genai\n",
"import google.ai.generativelanguage as glm\n",
"\n",
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"from IPython.display import Markdown"
]
},
Expand Down Expand Up @@ -145,6 +142,9 @@
},
"outputs": [],
"source": [
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
"API_KEY=userdata.get('API_KEY')\n",
"\n",
Expand Down
7 changes: 3 additions & 4 deletions site/en/gemini-api/tutorials/text_classifier_embeddings.ipynb
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Expand Up @@ -113,9 +113,6 @@
"import google.generativeai as genai\n",
"import google.ai.generativelanguage as glm\n",
"\n",
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
Expand Down Expand Up @@ -153,6 +150,8 @@
},
"outputs": [],
"source": [
"# Used to securely store your API key\n",
"from google.colab import userdata\n",
"# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
"API_KEY=userdata.get('API_KEY')\n",
"\n",
Expand Down Expand Up @@ -1226,7 +1225,7 @@
"embedding_size = len(df_train['Embeddings'].iloc[0])\n",
"\n",
"# Give your model a different name, as you have already used the variable name 'model'\n",
"classifier = build_classification_model(embedding_size, len(df_train['Class Name'].unique()))\n",
"classifier = build_classification_model([embedding_size], len(df_train['Class Name'].unique()))\n",
"classifier.summary()\n",
"\n",
"classifier.compile(loss = keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
Expand Down
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