Update README.md

Author: rudrankriyam

README.md

@@ -14,7 +14,7 @@ RunveyKit is an unofficial Swift SDK for the RunwayML REST API, designed for qui
 ## Requirements
 
 - Swift 6.0+
-- iOS 13.0+, macOS 13.0+, tvOS 13.0+, watchOS 8.0+, visionOS 1.0+
+- iOS 14.0+, macOS 13.0+, tvOS 14.0+, watchOS 8.0+, visionOS 1.0+
 
 ## Installation
 
@@ -26,65 +26,59 @@ dependencies: [
 ]
 ```
 
-## Configuration
+## Important Note
 
-Before using the library, make sure to set your RunwayML API key:
-
-```swift
-RunwayML.apiKey = "YOUR_API_KEY_HERE"
-```
-
-**Important Note:** This library is intended for quick prototyping and development purposes only. For production use, it is highly recommended to implement a more secure and controlled approach to managing API keys, such as using environment variables or a secure key management service.
+This library is intended for quick prototyping and development purposes only. For production use, it is highly recommended to implement a more secure and controlled approach to managing API keys, such as using environment variables or a secure key management service.
 
 ## Usage
 
 Here is a basic example of how to use RunveyKit to generate an image:
 
-```swift
+````swift
+// Start of Selection
 import RunveyKit
 
-    do {
-        let prompt = "Dynamic tracking shot: The camera glides through the iconic Shibuya Crossing in Tokyo at night, capturing the bustling intersection bathed in vibrant neon lights. Countless pedestrians cross the wide intersection as towering digital billboards illuminate the scene with colorful advertisements. The wet pavement reflects the dazzling lights, creating a cinematic urban atmosphere."
-        let imageURL = URL(string: "https://images.unsplash.com/photo-1542051841857-5f90071e7989?q=80&w=3270&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D")!
-
-        let taskID = try await RunwayML.generateImage(
-            prompt: prompt,
-            imageURL: imageURL,
-            duration: .long, // 10 seconds
-            aspectRatio: .widescreen, // 16:9 ratio
-            watermark: false,
-            seed: 42
-        )
-
-        print("Image generation task started with ID: \(taskID)")
-    } catch {
-        print("Error generating image: \(error)")
-    }
-```
+do {
+    let prompt = "Dynamic tracking shot: The camera glides through the iconic Shibuya Crossing in Tokyo at night, capturing the bustling intersection bathed in vibrant neon lights. Countless pedestrians cross the wide intersection as towering digital billboards illuminate the scene with colorful advertisements. The wet pavement reflects the dazzling lights, creating a cinematic urban atmosphere."
+    let imageURL = URL(string: "https://images.unsplash.com/photo-1542051841857-5f90071e7989?q=80&w=3270&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D")!
+
+    let runveyKit = RunveyKit(apiKey: "YOUR_API_KEY_HERE")
+    let taskID = try await runveyKit.generateImage(
+        prompt: prompt,
+        imageURL: imageURL,
+        duration: .long, // 10 seconds
+        aspectRatio: .widescreen, // 16:9 ratio
+    )
+
+    print("Image generation task started with ID: \(taskID)")
+} catch {
+    print("Error generating image: \(error)")
+}
 
 And here's an example of how to retrieve task details and process them into a human-readable description:
 
 ```swift
 import RunveyKit
 
     do {
+        let runveyKit = RunveyKit(apiKey: "YOUR_API_KEY_HERE")
         let taskId = "17f20503-6c24-4c16-946b-35dbbce2af2f"
-        let taskDetails = try await RunwayML.getTaskDetails(id: taskId)
-        let description = RunwayML.processTaskResponse(taskDetails)
-        print(description)
+        let taskDetails = try await RunveyKit.getTaskDetails(id: taskId)
+        print(taskDetails)
     } catch {
         print("Error: \(error)")
     }
-```
+````
 
 And here's an example of how to cancel or delete a task:
 
 ```swift
 import RunveyKit
 
     do {
+        let runveyKit = RunveyKit(apiKey: "YOUR_API_KEY_HERE")
         let taskId = "17f20503-6c24-4c16-946b-35dbbce2af2f"
-        try await RunwayML.cancelOrDeleteTask(id: taskId)
+        try await RunveyKit.cancelOrDeleteTask(id: taskId)
         print("Task \(taskId) has been successfully canceled or deleted.")
     } catch {
         print("Error canceling or deleting task: \(error)")