refactor: rename application from Qino to Saga Reader

Update application name and references in configuration files, UI components, and translations to reflect the new branding. Changes include:
- Updated main binary name in tauri config
- Modified package description in Cargo.toml
- Replaced Qino references with Copilot in UI and translations

Author: sopaco

app/src-tauri/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "qino-feed-client"
 version = "0.9.9"
-description = "Qino Feed"
+description = "Saga Reader"
 authors = ["Sopaco"]
 edition = "2021"
 

app/src-tauri/tauri.conf.json

@@ -53,6 +53,7 @@
 			}
 		}
 	},
+	"mainBinaryName": "SagaReader",
 	"plugins": {
 		"tauri-plugin-feed-api": {
 			"timeout": 30

app/src/lib/i18n/locales/en.json

@@ -97,10 +97,10 @@
 	"aisprite": {
 		"label": "AI Companion Reading",
 		"chat_me": "Me",
-		"tip_wait_llm_response": "Please wait for Qino to finish thinking.",
+		"tip_wait_llm_response": "Please wait for Copilot to finish thinking.",
 		"tip_no_input": "Please enter the content",
 		"tip_error_llm_error": "An exception occurred",
-		"tip_placeholder_please_input": "Learn about something from Qino"
+		"tip_placeholder_please_input": "Learn about something from Copilot"
 	},
 	"settings": {
 		"label": "Settings",

app/src/lib/i18n/locales/zh.json

@@ -97,10 +97,10 @@
 	"aisprite": {
 		"label": "麒睿AI伴读",
 		"chat_me": "我",
-		"tip_wait_llm_response": "请等候Qino完成思考",
+		"tip_wait_llm_response": "请等候Copilot完成思考",
 		"tip_no_input": "请输入内容",
 		"tip_error_llm_error": "大模型服务调用异常",
-		"tip_placeholder_please_input": "向Qino了解..."
+		"tip_placeholder_please_input": "向Copilot了解..."
 	},
 	"settings": {
 		"label": "应用设置",

app/src/routes/main/widgets/AISpritePanel.svelte

@@ -91,7 +91,7 @@
 							class="card pt-4 pl-4 pr-4 pb-2 preset-tonal rounded-tl-none rounded-bl-none space-y-2"
 						>
 							<header class="flex justify-between items-center">
-								<p class="font-bold">Qino</p>
+								<p class="font-bold">Copilot</p>
 								<small class="opacity-50">{toDateText(bubble.created_at).toLocaleString()}</small>
 							</header>
 							<Markdown value={bubble.payload} />