Apply suggestions from code review

Co-authored-by: rachelsaunders <[email protected]>
google-gemini · Jun 24, 2024 · 5a5d0c8 · 5a5d0c8
1 parent 0694a99
commit 5a5d0c8
Show file tree

Hide file tree

Showing 2 changed files with 23 additions and 22 deletions.
diff --git a/samples/src/main/java/com/google/ai/client/generative/samples/java/system_instructions.java b/samples/src/main/java/com/google/ai/client/generative/samples/java/system_instructions.java
@@ -23,6 +23,7 @@ void systemInstructions() {
     // [START system_instructions]
     GenerativeModel model =
         new GenerativeModel(
+            // Specify a Gemini model appropriate for your use case
             /* modelName */ "gemini-1.5-flash",
             /* apiKey */ BuildConfig.apiKey,
             /* generationConfig (optional) */ null,

diff --git a/samples/src/main/java/com/google/ai/client/generative/samples/text_generation.kt b/samples/src/main/java/com/google/ai/client/generative/samples/text_generation.kt
@@ -20,25 +20,25 @@ import com.google.ai.client.generativeai.GenerativeModel
 import com.google.ai.client.generativeai.type.content
 
 suspend fun textGenTextOnlyPrompt() {
-  // [START text_gen_text-only-prompt]
+  // [START text_gen_text_only_prompt]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
 
   val prompt = "Write a story about a magic backpack."
   val response = generativeModel.generateContent(prompt)
   print(response.text)
-  // [END text_gen_text-only-prompt]
+  // [END text_gen_text_only_prompt]
 }
 
 suspend fun textGenTextOnlyPromptStreaming() {
-  // [START text_gen_text-only-prompt_streaming]
+  // [START text_gen_text_only_prompt_streaming]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
@@ -47,14 +47,14 @@ suspend fun textGenTextOnlyPromptStreaming() {
   // Use streaming with text-only input
   generativeModel.generateContentStream(prompt).collect { chunk -> print(chunk.text) }
 
-  // [END text_gen_text-only-prompt_streaming]
+  // [END text_gen_text_only_prompt_streaming]
 }
 
 suspend fun textGenMultimodalOneImagePrompt() {
-  // [START text_gen_multimodal-one-image-prompt]
+  // [START text_gen_multimodal_one_image_prompt]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
@@ -63,29 +63,29 @@ suspend fun textGenMultimodalOneImagePrompt() {
 
   val response = generativeModel.generateContent(inputContent)
   print(response.text)
-  // [END text_gen_multimodal-one-image-prompt]
+  // [END text_gen_multimodal_one_image_prompt]
 }
 
 suspend fun textGenMultimodalOneImagePromptStreaming() {
-  // [START text_gen_multimodal-one-image-prompt_streaming]
+  // [START text_gen_multimodal_one_image_prompt_streaming]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
 
   val inputContent = content { text("What's in this picture?") }
 
   generativeModel.generateContentStream(inputContent).collect { chunk -> print(chunk.text) }
-  // [END text_gen_multimodal-one-image-prompt_streaming]
+  // [END text_gen_multimodal_one_image_prompt_streaming]
 }
 
 suspend fun textGenMultimodalMultiImagePrompt() {
-  // [START text_gen_multimodal-multi-image-prompt]
+  // [START text_gen_multimodal_multi_image_prompt]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
@@ -95,32 +95,32 @@ suspend fun textGenMultimodalMultiImagePrompt() {
   val response = generativeModel.generateContent(inputContent)
   print(response.text)
 
-  // [END text_gen_multimodal-multi-image-prompt]
+  // [END text_gen_multimodal_multi_image_prompt]
 }
 
 suspend fun textGenMultimodalMultiImagePromptStreaming() {
-  // [START text_gen_multimodal-multi-image-prompt_streaming]
+  // [START text_gen_multimodal_multi_image_prompt_streaming]
   val generativeModel =
       GenerativeModel(
-          // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
+          // Specify a Gemini model appropriate for your use case
           modelName = "gemini-1.5-flash",
           // Access your API key as a Build Configuration variable (see "Set up your API key" above)
           apiKey = BuildConfig.apiKey)
 
   val inputContent = content { text("What's different between these pictures?") }
 
   generativeModel.generateContentStream(inputContent).collect { chunk -> print(chunk.text) }
-  // [END text_gen_multimodal-multi-image-prompt_streaming]
+  // [END text_gen_multimodal_multi_image_prompt_streaming]
 }
 
 suspend fun textGenMultimodalVideoPrompt() {
-  // [START text_gen_multimodal-video-prompt]
+  // [START text_gen_multimodal_video_prompt]
   // TODO
-  // [END text_gen_multimodal-video-prompt]
+  // [END text_gen_multimodal_video_prompt]
 }
 
 suspend fun textGenMultimodalVideoPromptStreaming() {
-  // [START text_gen_multimodal-video-prompt_streaming]
+  // [START text_gen_multimodal_video_prompt_streaming]
   // TODO
-  // [END text_gen_multimodal-video-prompt_streaming]
+  // [END text_gen_multimodal_video_prompt_streaming]
 }