chore: reorg package exports

README.md

@@ -28,25 +28,25 @@ This client library is crafted as a lightweight layer atop platform standards li
 2. Setup the client instance:
 
   ```dart
-  import 'package:fal_client/client.dart';
+  import "package:fal_client/client.dart";
 
-  final fal = FalClient.withCredentials('FAL_KEY_ID:FAL_KEY_SECRET');
+  final fal = FalClient.withCredentials("FAL_KEY_ID:FAL_KEY_SECRET");
   ```
 
 3. Now use `fal.subcribe` to dispatch requests to the model API:
 
   ```dart
-  final result = await fal.subscribe('text-to-image', input: {
-    'prompt': 'a cute shih-tzu puppy',
-    'model_name': 'stabilityai/stable-diffusion-xl-base-1.0',
+  final result = await fal.subscribe("text-to-image", input: {
+    "prompt": "a cute shih-tzu puppy",
+    "model_name": "stabilityai/stable-diffusion-xl-base-1.0",
+    "image_size": "square_hd"
   });
   ```
 
 **Notes:**
 
 - Replace `text-to-image` with a valid model id. Check [fal.ai/models](https://fal.ai/models) for all available models.
 - The result type is a `Map<String, dynamic>` and the entries depend on the API output schema.
-- Types in Python are mapped to their corresponding types in Dart (e.g. `str` -> `String`).
 
 ## Roadmap
 

example/lib/main.dart

@@ -1,12 +1,12 @@
-import 'package:fal_client/client.dart';
+import 'package:fal_client/fal_client.dart';
 import 'package:flutter/material.dart';
 
 // You can use the proxyUrl to protect your credentials in production.
 // final fal = FalClient.withProxy("http://localhost:3333/api/fal/proxy");
 
 // You can also use the credentials locally for development, but make sure
 // you protected your credentials behind a proxy in production.
-final fal = FalClient.withCredentials("fal_key_id:fal_key_secret");
+final fal = FalClient.withCredentials("FAL_KEY_ID:FAL_KEY_SECRET");
 
 void main() {
   runApp(const MyApp());
@@ -94,6 +94,8 @@ class _TextoToImageScreenState extends State<TextoToImageScreen> {
       "prompt": _promptController.text,
       "model_name": "stabilityai/stable-diffusion-xl-base-1.0",
       "image_size": "square_hd"
+    }, onQueueUpdate: (update) => {
+      print(update)
     });
     setState(() {
       _isLoading = false;

lib/fal_client.dart

@@ -0,0 +1,5 @@
+export 'src/client.dart';
+export 'src/config.dart';
+export 'src/exception.dart';
+export 'src/queue.dart';
+export 'src/storage.dart';

lib/client.dart → lib/src/client.dart

@@ -1,5 +1,3 @@
-library fal_client;
-
 import './config.dart';
 import './exception.dart';
 import './http.dart';

lib/src/runtime/version.dart

@@ -0,0 +1,3 @@
+// Note: temporary solution, should be replaced with something
+// else that resolves the package version at build-time or runtime.
+const packageVersion = '0.2.1';

pubspec.yaml

@@ -2,7 +2,7 @@ name: fal_client
 description: >
   The Dart client library for fal.ai model APIs.
   You can use it to call multiple AI models on your Dart and Flutter apps.
-version: 0.2.0
+version: 0.2.1
 homepage: https://fal.ai
 repository: https://github.com/fal-ai/serverless-client-dart
 issue_tracker: https://github.com/fal-ai/serverless-client-dart/issues?q=is%3Aissue+is%3Aopen