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167 changes: 167 additions & 0 deletions misc/src/main/java/com/example/snippets/ai/GenerativeAiSnippets.kt
Original file line number Diff line number Diff line change
Expand Up @@ -16,9 +16,18 @@

package com.example.snippets.ai

import android.content.ContentResolver
import android.graphics.Bitmap
import android.net.Uri
import com.google.firebase.Firebase
import com.google.firebase.ai.ai
import com.google.firebase.ai.type.GenerativeBackend
import com.google.firebase.ai.type.ImagePart
import com.google.firebase.ai.type.ResponseModality
import com.google.firebase.ai.type.content
import com.google.firebase.ai.type.generationConfig
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.launch

object GeminiDeveloperApi25FlashModelConfiguration {
// [START firebase_ai_generative_backend_configuration]
Expand All @@ -27,3 +36,161 @@ object GeminiDeveloperApi25FlashModelConfiguration {
.generativeModel("gemini-2.5-flash")
// [END firebase_ai_generative_backend_configuration]
}

object Gemini25FlashImagePreviewModelConfiguration {
// [START firebase_ai_generative_image_model_configuration]
val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(
modelName = "gemini-2.5-flash-image-preview",
// Configure the model to respond with text and images (required)
generationConfig = generationConfig {
responseModalities = listOf(
ResponseModality.TEXT,
ResponseModality.IMAGE
)
}
)
// [END firebase_ai_generative_image_model_configuration]
}

fun textOnlyInput(scope: CoroutineScope) {
val model = GeminiDeveloperApi25FlashModelConfiguration.model
// [START firebase_ai_text_only_input]
scope.launch {
val response = model.generateContent("Write a story about a magic backpack.")
}
// [END firebase_ai_text_only_input]
}

fun textAndImageInput(scope: CoroutineScope, bitmap: Bitmap) {
val model = GeminiDeveloperApi25FlashModelConfiguration.model
// [START firebase_ai_multimodal_input]
scope.launch {
val response = model.generateContent(
content {
image(bitmap)
text("what is the object in the picture?")
}
)
}
// [END firebase_ai_multimodal_input]
}

fun textAndAudioInput(
scope: CoroutineScope,
contentResolver: ContentResolver,
audioUri: Uri
) {
val model = GeminiDeveloperApi25FlashModelConfiguration.model
// [START firebase_ai_multimodal_audio_input]
scope.launch {
contentResolver.openInputStream(audioUri).use { stream ->
stream?.let {
val bytes = it.readBytes()

val prompt = content {
inlineData(bytes, "audio/mpeg") // Specify the appropriate audio MIME type
text("Transcribe this audio recording.")
}

val response = model.generateContent(prompt)
}
}
}
// [END firebase_ai_multimodal_audio_input]
}

fun textAndVideoInput(
scope: CoroutineScope,
contentResolver: ContentResolver,
videoUri: Uri
) {
val model = GeminiDeveloperApi25FlashModelConfiguration.model
// [START firebase_ai_multimodal_video_input]
scope.launch {
contentResolver.openInputStream(videoUri).use { stream ->
stream?.let {
val bytes = it.readBytes()

val prompt = content {
inlineData(bytes, "video/mp4") // Specify the appropriate video MIME type
text("Describe the content of this video")
}

val response = model.generateContent(prompt)
}
}
}
// [END firebase_ai_multimodal_video_input]
}

fun multiTurnChat(scope: CoroutineScope) {
val model = GeminiDeveloperApi25FlashModelConfiguration.model
// [START firebase_ai_multiturn_chat]
val chat = model.startChat(
history = listOf(
content(role = "user") { text("Hello, I have 2 dogs in my house.") },
content(role = "model") { text("Great to meet you. What would you like to know?") }
)
)

scope.launch {
val response = chat.sendMessage("How many paws are in my house?")
}
// [END firebase_ai_multiturn_chat]
}

fun generateImageFromText(scope: CoroutineScope) {
val model = Gemini25FlashImagePreviewModelConfiguration.model
// [START firebase_ai_generate_image_from_text]
scope.launch {
// Provide a text prompt instructing the model to generate an image
val prompt =
"A hyper realistic picture of a t-rex with a blue bag pack roaming a pre-historic forest."
// To generate image output, call `generateContent` with the text input
val generatedImageAsBitmap: Bitmap? = model.generateContent(prompt)
.candidates.first().content.parts.filterIsInstance<ImagePart>()
.firstOrNull()?.image
}
// [END firebase_ai_generate_image_from_text]
}

fun editImage(scope: CoroutineScope, bitmap: Bitmap) {
val model = Gemini25FlashImagePreviewModelConfiguration.model
// [START firebase_ai_edit_image]
scope.launch {
// Provide a text prompt instructing the model to edit the image
val prompt = content {
image(bitmap)
text("Edit this image to make it look like a cartoon")
}
// To edit the image, call `generateContent` with the prompt (image and text input)
val generatedImageAsBitmap: Bitmap? = model.generateContent(prompt)
.candidates.first().content.parts.filterIsInstance<ImagePart>().firstOrNull()?.image
// Handle the generated text and image
}
// [END firebase_ai_edit_image]
}

fun editImageWithChat(scope: CoroutineScope, bitmap: Bitmap) {
val model = Gemini25FlashImagePreviewModelConfiguration.model
// [START firebase_ai_edit_image_chat]
scope.launch {
// Create the initial prompt instructing the model to edit the image
val prompt = content {
image(bitmap)
text("Edit this image to make it look like a cartoon")
}
// Initialize the chat
val chat = model.startChat()
// To generate an initial response, send a user message with the image and text prompt
var response = chat.sendMessage(prompt)
// Inspect the returned image
var generatedImageAsBitmap: Bitmap? = response
.candidates.first().content.parts.filterIsInstance<ImagePart>().firstOrNull()?.image
// Follow up requests do not need to specify the image again
response = chat.sendMessage("But make it old-school line drawing style")
generatedImageAsBitmap = response
.candidates.first().content.parts.filterIsInstance<ImagePart>().firstOrNull()?.image
}
// [END firebase_ai_edit_image_chat]
}