create GenerateText snippets

Author: thatfiredev

.editorconfig

@@ -1,2 +1,3 @@
 [*.{java,kt}]
 max_line_length = 120
+indent_size = 2

firebase-ai/src/main/java/com/google/firebase/example/ai/googleai/FirebaseAILogic.kt

@@ -0,0 +1,19 @@
+package com.google.firebase.example.ai.googleai
+
+import com.google.firebase.Firebase
+import com.google.firebase.ai.ai
+import com.google.firebase.ai.type.GenerativeBackend
+
+class FirebaseAILogic {
+
+  private fun initialization() {
+    // [START initialize_googleai_and_model]
+    // Initialize the Gemini Developer API backend service
+    // Create a `GenerativeModel` instance with a model that supports your use case
+    val model = Firebase.ai(backend = GenerativeBackend.googleAI())
+      .generativeModel("gemini-2.0-flash")
+    // [END initialize_googleai_and_model]
+  }
+
+
+}

firebase-ai/src/main/java/com/google/firebase/example/ai/send_requests/GenerateText.kt

@@ -0,0 +1,31 @@
+package com.google.firebase.example.ai.send_requests
+
+import com.google.firebase.ai.GenerativeModel
+
+class GenerateText {
+
+  private suspend fun textOnlyNonStreaming(model: GenerativeModel) {
+    // [START text_only_non_streaming]
+    // Provide a prompt that contains text
+    val prompt = "Write a story about a magic backpack."
+
+    // To generate text output, call generateContent with the text input
+    val response = model.generateContent(prompt)
+    print(response.text)
+    // [END text_only_non_streaming]
+  }
+
+  private suspend fun textOnlyStreaming(model: GenerativeModel) {
+    // [START text_only_streaming]
+    // Provide a prompt that includes only text
+    val prompt = "Write a story about a magic backpack."
+
+    // To stream generated text output, call generateContentStream and pass in the prompt
+    var response = ""
+    model.generateContentStream(prompt).collect { chunk ->
+      print(chunk.text)
+      response += chunk.text
+    }
+    // [END text_only_streaming]
+  }
+}

firebase-ai/src/main/java/com/google/firebase/example/ai/vertexai/FirebaseAILogic.kt

@@ -0,0 +1,18 @@
+package com.google.firebase.example.ai.vertexai
+
+import com.google.firebase.Firebase
+import com.google.firebase.ai.ai
+import com.google.firebase.ai.type.GenerativeBackend
+
+class FirebaseAILogic {
+
+  private fun initialization() {
+    // [START initialize_vertexai_and_model]
+    // Initialize the Vertex AI Gemini API backend service
+    // Create a `GenerativeModel` instance with a model that supports your use case
+    val model = Firebase.ai(backend = GenerativeBackend.vertexAI())
+      .generativeModel("gemini-2.0-flash")
+    // [END initialize_vertexai_and_model]
+  }
+
+}