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/*
* Copyright 2025 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.example.snippets.ai
import android.app.Application
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 android_gemini_developer_api_gemini_25_flash_model]
// Start by instantiating a GenerativeModel and specifying the model name:
val model = Firebase.ai(backend = GenerativeBackend.googleAI())
.generativeModel("gemini-2.5-flash")
// [END android_gemini_developer_api_gemini_25_flash_model]
}
object GeminiDeveloperApiFlashModelConfiguration {
// [START android_gemini_developer_api_gemini_flash_model]
// Start by instantiating a GenerativeModel and specifying the model name:
val model = Firebase.ai(backend = GenerativeBackend.googleAI())
.generativeModel("gemini-3.5-flash")
// [END android_gemini_developer_api_gemini_flash_model]
}
object Gemini25FlashImagePreviewModelConfiguration {
// [START android_gemini_developer_api_gemini_25_flash_image_model]
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 android_gemini_developer_api_gemini_25_flash_image_model]
}
object GeminiFlashImageModelConfiguration {
// [START android_gemini_developer_api_gemini_flash_image_model]
val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(
modelName = "gemini-3.1-flash-image",
// Configure the model to respond with images (required) and text (optional)
generationConfig = generationConfig {
responseModalities = listOf(
ResponseModality.TEXT,
ResponseModality.IMAGE
)
}
)
// [END android_gemini_developer_api_gemini_flash_image_model]
}
@Suppress("unused")
fun textOnlyInput(scope: CoroutineScope) {
val model = GeminiDeveloperApiFlashModelConfiguration.model
// [START android_gemini_developer_api_text_only_input]
scope.launch {
val response = model.generateContent("Write a story about a magic backpack.")
}
// [END android_gemini_developer_api_text_only_input]
}
@Suppress("unused")
fun textAndImageInput(scope: CoroutineScope, bitmap: Bitmap) {
val model = GeminiDeveloperApiFlashModelConfiguration.model
// [START android_gemini_developer_api_multimodal_input]
scope.launch {
val response = model.generateContent(
content {
image(bitmap)
text("what is the object in the picture?")
}
)
}
// [END android_gemini_developer_api_multimodal_input]
}
@Suppress("unused")
fun textAndAudioInput(
scope: CoroutineScope,
applicationContext: Application,
audioUri: Uri
) {
val model = GeminiDeveloperApiFlashModelConfiguration.model
// [START android_gemini_developer_api_multimodal_audio_input]
scope.launch {
val contentResolver = applicationContext.contentResolver
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 android_gemini_developer_api_multimodal_audio_input]
}
@Suppress("unused")
fun textAndVideoInput(
scope: CoroutineScope,
applicationContext: Application,
videoUri: Uri
) {
val model = GeminiDeveloperApiFlashModelConfiguration.model
// [START android_gemini_developer_api_multimodal_video_input]
scope.launch {
val contentResolver = applicationContext.contentResolver
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 android_gemini_developer_api_multimodal_video_input]
}
@Suppress("unused")
fun multiTurnChat(scope: CoroutineScope) {
val model = GeminiDeveloperApiFlashModelConfiguration.model
// [START android_gemini_developer_api_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 android_gemini_developer_api_multiturn_chat]
}
@Suppress("unused")
fun generateImageFromText(scope: CoroutineScope) {
val model = GeminiFlashImageModelConfiguration.model
// [START android_gemini_developer_api_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 android_gemini_developer_api_generate_image_from_text]
}
@Suppress("unused")
fun editImage(scope: CoroutineScope, bitmap: Bitmap) {
val model = GeminiFlashImageModelConfiguration.model
// [START android_gemini_developer_api_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 android_gemini_developer_api_edit_image]
}
@Suppress("unused")
fun editImageWithChat(scope: CoroutineScope, bitmap: Bitmap) {
val model = GeminiFlashImageModelConfiguration.model
// [START android_gemini_developer_api_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 android_gemini_developer_api_edit_image_chat]
}