Merge branch 'google:main' into main

Author: kyolee415

.github/workflows/notebooks.yml

@@ -65,7 +65,7 @@ jobs:
           python3 -m tensorflow_docs.tools.nblint \
             --styles=google,tensorflow \
             --arg=repo:google/generative-ai-docs --arg=branch:main \
-            --arg=base_url:https://developers.generativeai.google/ \
+            --arg=base_url:https://ai.google.dev/ \
             --exclude_lint=tensorflow::button_download \
             "${changed_notebooks[@]}"
         fi

demos/palm/python/docs-agent/README.md

@@ -603,6 +603,10 @@ To launch the Docs Agent chat app, do the following:
    already running on port 5000 on your host machine, you can use the `-p` flag to specify
    a different port (for example, `poetry run ./chatbot/launch.sh -p 5050`).
 
+   **Note**: If this `poetry run ./chatbot/launch.sh` command fails to run, check the `HOSTNAME` environment 
+   variable on your host machine (for example, `echo $HOSTNAME`). If this variable is unset, try setting it to 
+   `localhost` by running `export HOSTNAME=localhost`.
+
    Once the app starts running, this command prints output similar to the following:
 
    ```

site/en/docs/semantic_retriever.ipynb

@@ -48,7 +48,7 @@
       "source": [
         "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
         "  <td>\n",
-        "    <a target=\"_blank\" href=\"https://developers.generativeai.google/examples/chat_calculator\"><img src=\"https://developers.generativeai.google/static/site-assets/images/docs/notebook-site-button.png\" height=\"32\" width=\"32\" />View on Generative AI</a>\n",
+        "    <a target=\"_blank\" href=\"https://ai.google.dev/examples/chat_calculator\"><img src=\"https://ai.google.dev/static/site-assets/images/docs/notebook-site-button.png\" height=\"32\" width=\"32\" />View on Generative AI</a>\n",
         "  </td>\n",
         "  <td>\n",
         "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google/generative-ai-docs/blob/main/site/en/examples/chat_calculator.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
@@ -66,15 +66,15 @@
       },
       "source": [
         "For some use cases, you may want to stop the generation from a model to insert specific results. For example, language models may have trouble with complicated arithmetic problems like word problems.\n",
-        "This tutorial shows an example of using an external tool with the `palm.chat` method to output the correct answer to a word problem.\n",
+        "This tutorial shows an example of using an external tool with the `genai.chat` method to output the correct answer to a word problem.\n",
         "\n",
         "This particular example uses the [`numexpr`](https://github.com/pydata/numexpr) tool to perform the arithmetic but you can use this same procedure to integrate other tools specific to your use case. The following is an outline of the steps:\n",
         "\n",
         "1. Determine a `start` and `end` tag to demarcate the text to send the tool.\n",
         "1. Create a prompt instructing the model how to use the tags in its response.\n",
         "1. From the model response, take the text between the `start` and `end` tags as input to the tool.\n",
         "1. Drop everything after the `end` tag.\n",
-        "1. Run the tool and add it's output as your reply.\n",
+        "1. Run the tool and add its output as your reply.\n",
         "1. The model will take into account the tools's output in its reply."
       ]
     },
@@ -84,17 +84,7 @@
       "metadata": {
         "id": "v8d0FtO2KJ3O"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m122.2/122.2 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m113.3/113.3 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25h"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "pip install -q google.generativeai"
       ]
@@ -122,7 +112,7 @@
         "\n",
         "@retry.Retry()\n",
         "def retry_chat(**kwargs):\n",
-        "  return palm.chat(**kwargs)\n",
+        "  return genai.chat(**kwargs)\n",
         "\n",
         "@retry.Retry()\n",
         "def retry_reply(self, arg):\n",
@@ -137,8 +127,8 @@
       },
       "outputs": [],
       "source": [
-        "import google.generativeai as palm\n",
-        "palm.configure(api_key=\"YOUR API KEY\")"
+        "import google.generativeai as genai\n",
+        "genai.configure(api_key=\"YOUR API KEY\")"
       ]
     },
     {
@@ -149,7 +139,7 @@
       },
       "outputs": [],
       "source": [
-        "models = [m for m in palm.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
+        "models = [m for m in genai.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
         "model = models[0].name\n",
         "print(model)"
       ]