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Update APIKeyManagementView.swift

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Prakash Joshi Pax 2025-05-05 10:04:10 +05:45 committed by GitHub
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commit 4a4dbc7b5e
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VoiceInk/Views/APIKeyManagementView.swift
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@ -259,97 +259,6 @@ struct APIKeyManagementView: View {
.background(Color.secondary.opacity(0.05))
.cornerRadius(8)
}
// Ollama Information
DisclosureGroup {
VStack(alignment: .leading, spacing: 12) {
// Important Warning about Model Size
HStack(alignment: .top, spacing: 8) {
Image(systemName: "exclamationmark.triangle.fill")
.frame(width: 20)
.foregroundColor(.orange)
VStack(alignment: .leading, spacing: 2) {
Text("Important: Model Selection")
.font(.subheadline)
.bold()
.foregroundColor(.orange)
Text("Smaller models (< 7B parameters) significantly impact transcription enhancement quality. For optimal results, use models with 14B+ parameters. Also reasoning models don't work with transcript enhancement. So avoid them.")
.font(.caption)
.foregroundColor(.secondary)
}
}
.padding(8)
.background(Color.orange.opacity(0.1))
.cornerRadius(6)
// Local Processing
HStack(alignment: .top) {
Image(systemName: "cpu")
.frame(width: 20)
.foregroundColor(.secondary)
VStack(alignment: .leading, spacing: 2) {
Text("Local Processing")
.font(.subheadline)
.bold()
Text("Ollama runs entirely on your system, processing all text locally without sending data to external servers.")
.font(.caption)
.foregroundColor(.secondary)
}
}
// System Requirements
HStack(alignment: .top) {
Image(systemName: "memorychip")
.frame(width: 20)
.foregroundColor(.secondary)
VStack(alignment: .leading, spacing: 2) {
Text("System Requirements")
.font(.subheadline)
.bold()
Text("Local processing requires significant system resources. Larger, more capable models need more RAM (32GB+ recommended for optimal performance).")
.font(.caption)
.foregroundColor(.secondary)
}
}
// Use Cases
HStack(alignment: .top) {
Image(systemName: "checkmark.shield")
.frame(width: 20)
.foregroundColor(.secondary)
VStack(alignment: .leading, spacing: 2) {
Text("Best For")
.font(.subheadline)
.bold()
Text("• Privacy-focused users who need data to stay local\n• Systems with powerful hardware\n• Users who can prioritize quality over processing speed")
.font(.caption)
.foregroundColor(.secondary)
}
}
// Recommendation Note
HStack(alignment: .top) {
Image(systemName: "lightbulb")
.frame(width: 20)
.foregroundColor(.secondary)
VStack(alignment: .leading, spacing: 2) {
Text("Recommendation")
.font(.subheadline)
.bold()
Text("For optimal transcription enhancement, either use cloud providers or ensure you're using a larger local model (14B+ parameters). Smaller models may produce poor or inconsistent results.")
.font(.caption)
.foregroundColor(.secondary)
}
}
}
} label: {
Label("Important Information About Local AI", systemImage: "info.circle.fill")
.font(.subheadline)
.foregroundColor(.secondary)
}
.padding(8)
.background(Color.secondary.opacity(0.05))
.cornerRadius(8)
}
.padding(16)
.background(Color.secondary.opacity(0.03))