refactor(ai-logic): simplify samples categories

firebase-ai/README.md

@@ -5,6 +5,8 @@ generative AI models (like Gemini) to build AI-powered features and applications
 
 For more information about Firebase AI Logic, visit the [documentation](http://firebase.google.com/docs/ai-logic).
 
+<img src="./docs/result.png" width="300" alt="Screenshot"/>
+
 ## Setup & Configuration
 
 ### Prerequisites
@@ -25,33 +27,40 @@ To try out this sample app, you need to use latest stable version of Android Stu
 
 You can find the implementation for each feature by clicking on the links below:
 
-### Text / Chat
-- [Travel tips](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/TravelTipsViewModel.kt): The user wants the model to help a new traveler with travel tips
-- [Chatbot recommendations for courses](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/CourseRecommendationsViewModel.kt): A chatbot suggests courses for a performing arts program.
-- [Weather Chat](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/WeatherChatViewModel.kt): Use function calling to get the weather conditions for a specific US city on a specific date.
-- [Grounding with Google Search](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/GoogleSearchGroundingViewModel.kt): Use Grounding with Google Search to get responses based on up-to-date information from the web.
-- [Thinking](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ThinkingChatViewModel.kt): Gemini 2.5 Flash with dynamic thinking
-- [Server Prompt Templates - Gemini](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ServerPromptTemplateViewModel.kt): Generate an invoice using server prompt templates.
+### Gemini 3
+- [Translate text](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/TranslationViewModel.kt): Use Gemini 3.1 Flash-Lite to translate text
+- [SVG Generator](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/SvgViewModel.kt): Use Gemini 3.5 Flash to create SVG illustrations
+- [Gemini 3.1 Flash Image (Nano Banana 2)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBanana2ViewModel.kt): Generate and/or edit images using Nano Banana 2 preview
+- [Gemini 3 Pro Image (Nano Banana Pro)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBananaProViewModel.kt): Generate and/or edit images using Nano Banana Pro preview
 
-### Image analysis / generation
-- [Gemini 2.5 Flash Image (aka nanobanana)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ImageGenerationViewModel.kt): Generate and/or edit images using Gemini 2.5 Flash Image aka nanobanana
-- [SVG Generator](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/SvgViewModel.kt): Use Gemini 3 Flash preview to create SVG illustrations
-- [Blog post creator (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ImageBlogCreatorViewModel.kt): Create a blog post from an image file stored in Cloud Storage.
+### Nano Banana
+- [Gemini 3.1 Flash Image (Nano Banana 2)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBanana2ViewModel.kt): Generate and/or edit images using Nano Banana 2 preview
+- [Gemini 3 Pro Image (Nano Banana Pro)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBananaProViewModel.kt): Generate and/or edit images using Nano Banana Pro preview
+- [Gemini 2.5 Flash Image (Nano Banana)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBananaViewModel.kt): Generate and/or edit images using Nano Banana (GA)
 
-### Audio analysis
-- [Audio Summarization](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/AudioSummarizationViewModel.kt): Summarize an audio file
+### Multimodal understanding
+- [Audio Summarization](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/AudioSummarizationViewModel.kt): Use Gemini 3.1 Flash Lite to summarize an audio file
+- [Summarize video](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/VideoSummarizationViewModel.kt): Summarize a video and extract important dialogue.
 - [Translation from audio (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/AudioTranslationViewModel.kt): Translate an audio file stored in Cloud Storage
-
-### Video analysis
+- [Blog post creator (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ImageBlogCreatorViewModel.kt): Create a blog post from an image file stored in Cloud Storage.
+- [Document comparison (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/DocumentComparisonViewModel.kt): Compare the contents of 2 documents stored in Cloud Storage.
 - [Hashtags for a video (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/VideoHashtagGeneratorViewModel.kt): Generate hashtags for a video ad stored in Cloud Storage
-- [Summarize video](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/VideoSummarizationViewModel.kt): Summarize a video and extract important dialogue.
 
-### Live API (Real-time bidrectional streaming)
-- [ForecastTalk](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamAudioViewModel.kt): Use bidirectional streaming to get information about weather conditions
-- [Gemini Live (Video input)](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamVideoViewModel.kt): Use bidirectional streaming to chat with Gemini using your phone's camera
+### Tools and function calling
+- [Grounding with Google Search](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/GoogleSearchGroundingViewModel.kt): Use Grounding with Google Search to get responses based on up-to-date information from the web.
+- [Weather Chat](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/WeatherChatViewModel.kt): Use function calling to get the weather conditions for a specific US city on a specific date.
+- [Gemini Live (audio input)](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamAudioViewModel.kt): Use bidirectional streaming to get information about weather conditions for a specific US city on a specific date
+- [Gemini Live (video input)](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamVideoViewModel.kt): Use bidirectional streaming to chat with Gemini using your phone's camera
+
+### Live API streaming
+- [Gemini Live (audio input)](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamAudioViewModel.kt): Use bidirectional streaming to get information about weather conditions for a specific US city on a specific date
+- [Gemini Live (video input)](app/src/main/java/com/google/firebase/quickstart/ai/feature/live/StreamVideoViewModel.kt): Use bidirectional streaming to chat with Gemini using your phone's camera
+
+### Server prompt templates
+- [Server Prompt Templates - Gemini](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ServerPromptTemplateViewModel.kt): Generate an invoice using server prompt templates.
 
-### Document (PDFs) analysis
-- [Document comparison (Vertex AI)](app/src/main/java/com/google/firebase/quickstart/ai/feature/text/DocumentComparisonViewModel.kt): Compare the contents of 2 documents in Cloud Storage.
+### Hybrid inference
+- [Hybrid Receipt Scanner](app/src/main/java/com/google/firebase/quickstart/ai/feature/hybrid/HybridInferenceViewModel.kt): Use hybrid inference to scan receipts and extract expense data on-device whenever possible.
 
 
 ## All samples

firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ThinkingChatViewModel.kt → firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBanana2ViewModel.kt

@@ -7,29 +7,35 @@ import com.google.firebase.ai.Chat
 import com.google.firebase.ai.ai
 import com.google.firebase.ai.type.Content
 import com.google.firebase.ai.type.GenerativeBackend
+import com.google.firebase.ai.type.ResponseModality
 import com.google.firebase.ai.type.generationConfig
-import com.google.firebase.ai.type.thinkingConfig
 import com.google.firebase.quickstart.ai.ui.UiChatMessage
 
 @Serializable
-object ThinkingChatRoute
+object NanoBanana2Route
 
-class ThinkingChatViewModel : ChatViewModel() {
+class NanoBanana2ViewModel : ChatViewModel() {
 
-    override val initialPrompt: String = "Analogize photosynthesis and growing up."
+    override val initialPrompt: String = """
+        A photo of a glossy magazine cover, the minimal blue cover
+        has the large bold words Nano Banana. The text is in a serif
+        font and fills the view. No other text. In front of the text
+        there is a portrait of a person in a sleek and minimal dress.
+        She is playfully holding the number 2, which is the focal point.
+        Put the issue number and "Feb 2026" date in the corner along with
+        a barcode. The magazine is on a shelf against an orange plastered
+        wall, within a designer store.
+        """.trimIndent()
 
     private val chat: Chat
 
     init {
         val generativeModel = Firebase.ai(
             backend = GenerativeBackend.googleAI()
         ).generativeModel(
-            modelName = "gemini-2.5-flash",
+            modelName = "gemini-3.1-flash-image-preview",
             generationConfig = generationConfig {
-                thinkingConfig = thinkingConfig {
-                    includeThoughts = true
-                    thinkingBudget = -1 // Dynamic Thinking
-                }
+                responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE)
             }
         )
         chat = generativeModel.startChat()

firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBananaProViewModel.kt

@@ -0,0 +1,51 @@
+package com.google.firebase.quickstart.ai.feature.text
+
+import kotlinx.serialization.Serializable
+
+import com.google.firebase.Firebase
+import com.google.firebase.ai.Chat
+import com.google.firebase.ai.ai
+import com.google.firebase.ai.type.Content
+import com.google.firebase.ai.type.GenerativeBackend
+import com.google.firebase.ai.type.ResponseModality
+import com.google.firebase.ai.type.generationConfig
+import com.google.firebase.quickstart.ai.ui.UiChatMessage
+
+@Serializable
+object NanoBananaProRoute
+
+class NanoBananaProViewModel : ChatViewModel() {
+
+    override val initialPrompt: String = """
+        Present a clear, 45° top-down isometric miniature 3D cartoon
+        scene of London, featuring its most iconic landmarks and
+        architectural elements. Use soft, refined textures with
+        realistic PBR materials and gentle, lifelike lighting and shadows.
+        Integrate the current weather conditions directly into the city
+        environment to create an immersive atmospheric mood. Use a clean,
+        minimalistic composition with a soft, solid-colored background.
+        At the top-center, place the title "London" in large bold text,
+        a prominent weather icon beneath it, then the date (small text)
+        and temperature (medium text). All text must be centered with
+        consistent spacing, and may subtly overlap the tops of the buildings.
+        """.trimIndent()
+
+    private val chat: Chat
+
+    init {
+        val generativeModel = Firebase.ai(
+            backend = GenerativeBackend.googleAI()
+        ).generativeModel(
+            modelName = "gemini-3-pro-image-preview",
+            generationConfig = generationConfig {
+                responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE)
+            }
+        )
+        chat = generativeModel.startChat()
+    }
+
+    override suspend fun performSendMessage(prompt: Content, currentMessages: List<UiChatMessage>) {
+        val response = chat.sendMessage(prompt)
+        validateAndDisplayResponse(response, currentMessages)
+    }
+}

firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/ImageGenerationViewModel.kt → firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/NanoBananaViewModel.kt

@@ -12,9 +12,9 @@ import com.google.firebase.ai.type.generationConfig
 import com.google.firebase.quickstart.ai.ui.UiChatMessage
 
 @Serializable
-object ImageGenerationRoute
+object NanoBananaRoute
 
-class ImageGenerationViewModel : ChatViewModel() {
+class NanoBananaViewModel : ChatViewModel() {
 
     override val initialPrompt: String = """
         Hi, can you create a 3d rendered image of a pig

firebase-ai/app/src/main/java/com/google/firebase/quickstart/ai/feature/text/SvgViewModel.kt

@@ -1,5 +1,6 @@
 package com.google.firebase.quickstart.ai.feature.text
 
+import android.util.Log
 import kotlinx.serialization.Serializable
 
 import androidx.lifecycle.ViewModel
@@ -8,6 +9,7 @@ import com.google.firebase.Firebase
 import com.google.firebase.ai.GenerativeModel
 import com.google.firebase.ai.ai
 import com.google.firebase.ai.type.GenerativeBackend
+import com.google.firebase.ai.type.ThinkingLevel
 import com.google.firebase.ai.type.content
 import com.google.firebase.ai.type.generationConfig
 import com.google.firebase.ai.type.thinkingConfig
@@ -31,7 +33,7 @@ class SvgViewModel : ViewModel() {
         generativeModel = Firebase.ai(
             backend = GenerativeBackend.googleAI()
         ).generativeModel(
-            modelName = "gemini-3-flash-preview",
+            modelName = "gemini-3.5-flash",
             systemInstruction = content {
                 text(
                     """
@@ -45,7 +47,7 @@ class SvgViewModel : ViewModel() {
             },
             generationConfig = generationConfig {
                 thinkingConfig {
-                    thinkingBudget = -1
+                    thinkingLevel = ThinkingLevel.HIGH
                 }
             }
         )
@@ -58,6 +60,10 @@ class SvgViewModel : ViewModel() {
             try {
                 val response = generativeModel.generateContent(prompt)
                 val newSvg = response.text
+                    // Remove the ```xml [...] ``` around the svg
+                    ?.replace("```xml", "")
+                    ?.replace("```", "")
+                    ?.trimIndent()
                 if (newSvg != null) {
                     _uiState.value = SvgUiState.Success(listOf(newSvg) + currentSvgs)
                 } else {