AI-Studio/app/MindWork AI Studio/Chat/ContentImage.cs
2025-02-17 12:41:27 +01:00

108 lines
3.5 KiB
C#

using System.Text.Json.Serialization;
using AIStudio.Provider;
namespace AIStudio.Chat;
/// <summary>
/// Represents an image inside the chat.
/// </summary>
public sealed class ContentImage : IContent
{
#region Implementation of IContent
/// <inheritdoc />
[JsonIgnore]
public bool InitialRemoteWait { get; set; } = false;
/// <inheritdoc />
[JsonIgnore]
public bool IsStreaming { get; set; } = false;
/// <inheritdoc />
[JsonIgnore]
public Func<Task> StreamingDone { get; set; } = () => Task.CompletedTask;
/// <inheritdoc />
[JsonIgnore]
public Func<Task> StreamingEvent { get; set; } = () => Task.CompletedTask;
/// <inheritdoc />
public Task CreateFromProviderAsync(IProvider provider, Model chatModel, IContent? lastPrompt, ChatThread? chatChatThread, CancellationToken token = default)
{
throw new NotImplementedException();
}
#endregion
/// <summary>
/// The type of the image source.
/// </summary>
/// <remarks>
/// Is the image source a URL, a local file path, a base64 string, etc.?
/// </remarks>
public required ContentImageSource SourceType { get; init; }
/// <summary>
/// The image source.
/// </summary>
public required string Source { get; set; }
/// <summary>
/// Read the image content as a base64 string.
/// </summary>
/// <remarks>
/// The images are directly converted to base64 strings. The maximum
/// size of the image is around 10 MB. If the image is larger, the method
/// returns an empty string.
///
/// As of now, this method does no sort of image processing. LLMs usually
/// do not work with arbitrary image sizes. In the future, we might have
/// to resize the images before sending them to the model.
/// </remarks>
/// <param name="token">The cancellation token.</param>
/// <returns>The image content as a base64 string; might be empty.</returns>
public async Task<string> AsBase64(CancellationToken token = default)
{
switch (this.SourceType)
{
case ContentImageSource.BASE64:
return this.Source;
case ContentImageSource.URL:
{
using var httpClient = new HttpClient();
using var response = await httpClient.GetAsync(this.Source, HttpCompletionOption.ResponseHeadersRead, token);
if(response.IsSuccessStatusCode)
{
// Read the length of the content:
var lengthBytes = response.Content.Headers.ContentLength;
if(lengthBytes > 10_000_000)
return string.Empty;
var bytes = await response.Content.ReadAsByteArrayAsync(token);
return Convert.ToBase64String(bytes);
}
return string.Empty;
}
case ContentImageSource.LOCAL_PATH:
if(File.Exists(this.Source))
{
// Read the content length:
var length = new FileInfo(this.Source).Length;
if(length > 10_000_000)
return string.Empty;
var bytes = await File.ReadAllBytesAsync(this.Source, token);
return Convert.ToBase64String(bytes);
}
return string.Empty;
default:
return string.Empty;
}
}
}