remove references to pro-vision (google#450)

Author: MarkDaoust

examples/gemini/javascript/langchain_quickstart_node/main.js

@@ -44,7 +44,7 @@ async function invokeGeminiPro() {
  */
 async function invokeGeminiProVision() {
   const model = new ChatGoogleGenerativeAI({
-    modelName: 'gemini-pro-vision',
+    modelName: 'gemini-1.5-flash',
     maxOutputTokens: 1024,
   });
 

examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb

@@ -200,7 +200,7 @@
         "### Grab a Gemini API Key\n",
         "\n",
         "To use Gemini you need an *API key*. You can create an API key with one click in [Google AI Studio](https://makersuite.google.com/).\n",
-        "After creating the API key, you can either set an environment variable named `GOOGLE_API_KEY` to your API Key or pass the API key as an argument when using the `ChatGoogleGenerativeAI` class to access Google's `gemini-pro` and `gemini-pro-vision` models or the `GoogleGenerativeAIEmbeddings` class to access Google's Generative AI embedding model using `LangChain`.\n",
+        "After creating the API key, you can either set an environment variable named `GOOGLE_API_KEY` to your API Key or pass the API key as an argument when using the `ChatGoogleGenerativeAI` class to access Google's `gemini-1.5-flash` or `gemini-1.5-pro` models or the `GoogleGenerativeAIEmbeddings` class to access Google's Generative AI embedding model using `LangChain`.\n",
         "\n",
         "In this tutorial, you will set the environment variable `GOOGLE_API_KEY` to configure Gemini to use your API key."
       ]

examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb

@@ -189,7 +189,7 @@
         "### Grab an API Key\n",
         "\n",
         "To use Gemini you need an *API key*. You can create an API key with one click in [Google AI Studio](https://makersuite.google.com/).\n",
-        "After creating the API key, you can either set an environment variable named `GOOGLE_API_KEY` to your API Key or pass the API key as an argument when using the `Gemini` class to access Google's `gemini-pro` and `gemini-pro-vision` models or the `GeminiEmbedding` class to access Google's Generative AI embedding model using `LlamaIndex`.\n",
+        "After creating the API key, you can either set an environment variable named `GOOGLE_API_KEY` to your API Key or pass the API key as an argument when using the `Gemini` class to access Google's `gemini-1.5-flash` and `gemini-1.5-pro` models or the `GeminiEmbedding` class to access Google's Generative AI embedding model using `LlamaIndex`.\n",
         "\n",
         "In this tutorial, you will set the variable `gemini_api_key` to configure Gemini to use your API key."
       ]

site/en/gemini-api/docs/get-started/python.ipynb

@@ -652,7 +652,7 @@
       "source": [
         "## Generate text from image and text inputs\n",
         "\n",
-        "Gemini provides a multimodal model (`gemini-pro-vision`) that accepts both text and images and inputs. The `GenerativeModel.generate_content` API is designed to handle multimodal prompts and returns a text output.\n",
+        "The `GenerativeModel.generate_content` API is designed to handle multimodal prompts and returns a text output.\n",
         "\n",
         "Let's include an image:"
       ]

site/en/gemini-api/docs/get-started/rest.ipynb

@@ -226,7 +226,6 @@
       "source": [
         "### Text-and-image input\n",
         "\n",
-        "If the input contains both text and image, use the `gemini-pro-vision` model.\n",
         "The following snippets help you build a request and send it to the REST API."
       ]
     },
@@ -320,7 +319,7 @@
       ],
       "source": [
         "%%bash\n",
-        "curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${GOOGLE_API_KEY} \\\n",
+        "curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${GOOGLE_API_KEY} \\\n",
         "        -H 'Content-Type: application/json' \\\n",
         "        -d @request.json 2> /dev/null | grep \"text\""
       ]
@@ -371,15 +370,6 @@
         "    }' 2> /dev/null | grep \"text\""
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "IuAPMg_9U2GR"
-      },
-      "source": [
-        "Note: The `gemini-pro-vision` model (for text-and-image input) is not yet optimized for multi-turn conversations. Make sure to use `gemini-pro` and text-only input for chat use cases."
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -792,36 +782,6 @@
             "      \"topK\": 1\n",
             "    },\n",
             "    {\n",
-            "      \"name\": \"models/gemini-pro-vision\",\n",
-            "      \"version\": \"001\",\n",
-            "      \"displayName\": \"Gemini Pro Vision\",\n",
-            "      \"description\": \"The best image understanding model to handle a broad range of applications\",\n",
-            "      \"inputTokenLimit\": 12288,\n",
-            "      \"outputTokenLimit\": 4096,\n",
-            "      \"supportedGenerationMethods\": [\n",
-            "        \"generateContent\",\n",
-            "        \"countTokens\"\n",
-            "      ],\n",
-            "      \"temperature\": 0.4,\n",
-            "      \"topP\": 1,\n",
-            "      \"topK\": 32\n",
-            "    },\n",
-            "    {\n",
-            "      \"name\": \"models/gemini-ultra\",\n",
-            "      \"version\": \"001\",\n",
-            "      \"displayName\": \"Gemini Ultra\",\n",
-            "      \"description\": \"The most capable model for highly complex tasks\",\n",
-            "      \"inputTokenLimit\": 30720,\n",
-            "      \"outputTokenLimit\": 2048,\n",
-            "      \"supportedGenerationMethods\": [\n",
-            "        \"generateContent\",\n",
-            "        \"countTokens\"\n",
-            "      ],\n",
-            "      \"temperature\": 0.9,\n",
-            "      \"topP\": 1,\n",
-            "      \"topK\": 32\n",
-            "    },\n",
-            "    {\n",
             "      \"name\": \"models/embedding-001\",\n",
             "      \"version\": \"001\",\n",
             "      \"displayName\": \"Embedding 001\",\n",

site/en/gemini-api/docs/prompting_with_media.ipynb

@@ -481,15 +481,15 @@
         "\n",
         "### Image formats\n",
         "\n",
-        "You can use image data for prompting with the `gemini-pro-vision` and `gemini-1.5-pro ` models. When you use images for prompting, they are subject to the following limitations and requirements:\n",
+        "You can use image data for prompting Gemini models. When you use images for prompting, they are subject to the following limitations and requirements:\n",
         "\n",
         "-   Images must be in one of the following image data [MIME types](https://developers.google.com/drive/api/guides/ref-export-formats):\n",
         "    -   PNG - image/png\n",
         "    -   JPEG - image/jpeg\n",
         "    -   WEBP - image/webp\n",
         "    -   HEIC - image/heic\n",
         "    -   HEIF - image/heif\n",
-        "-   Maximum of 16 individual images for the `gemini-pro-vision` and 3600 images for `gemini-1.5-pro`\n",
+        "-   Maximum of 3600 images for `gemini-1.5-pro`\n",
         "-   No specific limits to the number of pixels in an image; however, larger images are scaled down to fit a maximum resolution of 3072 x 3072 while preserving their original aspect ratio.\n",
         "\n",
         "### Audio formats\n",

site/en/gemini-api/tutorials/document_search.ipynb

@@ -1170,9 +1170,8 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "models/gemini-pro\n",
-            "models/gemini-pro-vision\n",
-            "models/gemini-ultra\n"
+            "models/gemini-1.5-pro\n",
+            "models/gemini-1.5-flash\n"
           ]
         }
       ],

templates/aistudio_gemini_prompt_freeform.ipynb

@@ -162,7 +162,7 @@
       "source": [
         "import json\n",
         "\n",
-        "model = \"gemini-pro-vision\" # @param {isTemplate: true}\n",
+        "model = \"gemini-1.5-flash\" # @param {isTemplate: true}\n",
         "contents = '[{\"parts\": [{\"text\":\"what\\'s in this picture:\"}, {\"image\": {\"image_url\": \"https://storage.googleapis.com/generativeai-downloads/images/scones.jpg\"}}]}]' # @param {isTemplate: true}\n",
         "generation_config = \"{}\" # @param {isTemplate: true}\n",
         "safety_settings = \"{}\" # @param {isTemplate: true}\n",

templates/aistudio_gemini_prompt_freeform_b64.ipynb

@@ -174,7 +174,7 @@
       },
       "outputs": [],
       "source": [
-        "model = \"gemini-pro-vision\" # @param {isTemplate: true}\n",
+        "model = \"gemini-1.5-flash\" # @param {isTemplate: true}\n",
         "contents_b64 = 'W3sicGFydHMiOiBbeyJ0ZXh0Ijoid2hhdCdzIGluIHRoaXMgcGljdHVyZToifSwgeyJpbWFnZSI6IHsiaW1hZ2VfdXJsIjogImh0dHBzOi8vc3RvcmFnZS5nb29nbGVhcGlzLmNvbS9nZW5lcmF0aXZlYWktZG93bmxvYWRzL2ltYWdlcy9zY29uZXMuanBnIn19XX1d' # @param {isTemplate: true}\n",
         "generation_config_b64 = \"e30=\" # @param {isTemplate: true}\n",
         "safety_settings_b64 = \"e30=\" # @param {isTemplate: true}\n",