using System;
using System.IO;
using System.Threading.Tasks;
using Azure.AI.OpenAI; // For interacting with Azure OpenAI
using Azure.Identity; // For authentication
using Azure.Storage.Blobs; // For storing generated videos (if needed)
using Azure.Storage.Blobs.Models;
using System.Collections.Generic;
using System.Text;
// Install the following NuGet packages:
// Azure.AI.OpenAI
// Azure.Identity
// Azure.Storage.Blobs (if you want to store videos in Azure Blob Storage)
public class AudioToVideoConverter
{
// Configuration (Move these to a configuration file or environment variables)
private static string? AzureOpenAIEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"); // e.g., "https://your-openai-service.azure.io/"
private static string? AzureOpenAIKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); // Or use Azure Identity
private static string? AzureOpenAIModelName = Environment.GetEnvironmentVariable("AZURE_OPENAI_MODEL_NAME"); // e.g., "gpt-4" or "gpt-3.5-turbo"
private static string? AzureStorageConnectionString = Environment.GetEnvironmentVariable("AZURE_STORAGE_CONNECTION_STRING"); // Only if storing to Blob Storage
private static string? BlobContainerName = Environment.GetEnvironmentVariable("BLOB_CONTAINER_NAME"); // Only if storing to Blob Storage
// Add this variable
private static string? AzureOpenAIdeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME");
public static async Task Main(string[] args)
{
// 1. Set up Azure OpenAI Client
OpenAIClient? openAIClient = null;
try
{
if (!string.IsNullOrEmpty(AzureOpenAIKey))
{
openAIClient = new OpenAIClient(new Uri(AzureOpenAIEndpoint), new AzureKeyCredential(AzureOpenAIKey));
}
else
{
// Use Azure Identity (Managed Identity, Service Principal, etc.)
var credential = new DefaultAzureCredential();
openAIClient = new OpenAIClient(new Uri(AzureOpenAIEndpoint), credential);
}
}
catch (Exception ex)
{
Console.WriteLine($"Error setting up OpenAI client: {ex.Message}");
return;
}
// 2. Get Audio Input (Simulated for this example)
string audioFilePath = "sample_audio.wav"; // Replace with your actual audio file path
if (!File.Exists(audioFilePath))
{
Console.WriteLine($"Error: Audio file not found at {audioFilePath}");
Console.WriteLine("Please provide a valid audio file.");
return;
}
Console.WriteLine($"Processing audio file: {audioFilePath}");
// Simulate audio analysis to get transcript (In a real scenario, use a service like Azure Speech to Text)
string audioTranscript = await GetAudioTranscript(audioFilePath);
if (string.IsNullOrEmpty(audioTranscript))
{
Console.WriteLine("Error: Could not get audio transcript.");
return;
}
Console.WriteLine($"Audio Transcript: {audioTranscript}");
// 3. Generate Video Script and Visual Ideas with LLM
string videoPrompt = await GenerateVideoPrompt(openAIClient, audioTranscript);
if (string.IsNullOrEmpty(videoPrompt))
{
Console.WriteLine("Error: Could not generate video prompt.");
return;
}
Console.WriteLine($"Video Prompt: {videoPrompt}");
// 4. Generate Video (Placeholder - Replace with actual video generation)
string videoFilePath = await GenerateVideo(videoPrompt); // <-- Placeholder
if (string.IsNullOrEmpty(videoFilePath))
{
Console.WriteLine("Error generating video.");
return;
}
Console.WriteLine($"Video generated: {videoFilePath}");
// 5. Store Video (Optional - Store in Azure Blob Storage)
if (!string.IsNullOrEmpty(AzureStorageConnectionString) && !string.IsNullOrEmpty(BlobContainerName))
{
Uri? blobUri = await StoreVideoToBlobStorage(videoFilePath);
if (blobUri != null)
{
Console.WriteLine($"Video stored in Azure Blob Storage: {blobUri.AbsoluteUri}");
}
else
{
Console.WriteLine("Error storing video in Azure Blob Storage.");
}
}
else
{
Console.WriteLine("Video stored locally.");
}
Console.WriteLine("Process completed.");
}
// Placeholder for Audio to Text conversion (Replace with Azure Speech to Text)
private static async Task<string> GetAudioTranscript(string audioFilePath)
{
// ******************************************************************************************
// * Replace this placeholder with code that uses Azure Speech to Text or another service *
// * to convert the audio to a text transcript. *
// * This is a CRITICAL step. *
// ******************************************************************************************
// Example using a hypothetical audio processing library (THIS IS NOT REAL CODE):
// try
// {
// var speechClient = new SpeechClient(yourSpeechServiceKey, yourSpeechServiceRegion);
// var result = await speechClient.TranscribeAsync(audioFilePath);
// return result.Text;
// }
// catch (Exception ex)
// {
// Console.WriteLine($"Error in GetAudioTranscript: {ex.Message}");
// return null;
// }
// Simulate a transcript for testing. REMOVE THIS FOR PRODUCTION
await Task.Delay(500); // Simulate processing time
return "This is a sample audio recording. The speaker is discussing a new product feature. They mention the release date is next quarter, and the key benefits are increased efficiency and reduced costs.";
}
private static async Task<string> GenerateVideoPrompt(OpenAIClient openAIClient, string audioTranscript)
{
// Use the LLM to create a video script and visual ideas based on the audio transcript.
// This is where you'll provide a prompt to the LLM that instructs it on what kind of video to create.
try
{
// Use the chat completions API, which is generally preferred for conversational tasks
var chatCompletionsOptions = new ChatCompletionsOptions()
{
Messages =
{
new ChatMessage(ChatRole.System, "You are a creative video director. You will receive an audio transcript and your task is to create a short, engaging video script and visual ideas."),
new ChatMessage(ChatRole.User, $"Create a video script and visual ideas (scene descriptions) for a short video based on this audio transcript:\n\n{audioTranscript}\n\n The video should be about 30 seconds long. Focus on the key points of the audio. Be creative and descriptive. Include specific visual suggestions for each scene, such as camera angles, transitions, and on-screen text. The tone should be professional and upbeat."),
},
DeploymentName = AzureOpenAIdeploymentName, // Specify the deployment name.
};
var response = await openAIClient.GetChatCompletionsAsync(chatCompletionsOptions);
// Get the LLM's response.
var result = response.Value;
var script = result.Choices[0].Message.Content;
return script;
}
catch (Exception ex)
{
Console.WriteLine($"Error generating video prompt: {ex.Message}");
return null;
}
}
// Placeholder for Video Generation (REPLACE THIS WITH A REAL IMPLEMENTATION)
private static async Task<string> GenerateVideo(string videoPrompt)
{
// ******************************************************************************************************
// * This is a placeholder. You will need to replace this with code that actually generates a video. *
// * There is no single, simple C# library that will create a video from scratch. Options include: *
// * *
// * 1. Using a Video Editing SDK or Library (e.g., FFmpeg via a C# wrapper). This is complex. *
// * 2. Calling a Video Generation API (e.g., a cloud-based service that takes a script and generates a video). This is the most likely approach. *
// * 3. If the "video" is a simple slideshow, you could generate a series of images and use a library *
// * to combine them into a short video. *
// * *
// * This placeholder simulates video generation and returns a dummy file path. *
// ******************************************************************************************************
// Simulate video generation process
await Task.Delay(2000); // Simulate 2 seconds of processing
string simulatedVideoFilePath = "generated_video.mp4";
// Create a dummy file
File.WriteAllText(simulatedVideoFilePath, "This is a dummy video file.");
return simulatedVideoFilePath; // Return the path to the generated video file
}
// Example: Store Video in Azure Blob Storage
private static async Task<Uri?> StoreVideoToBlobStorage(string videoFilePath)
{
if (string.IsNullOrEmpty(AzureStorageConnectionString) || string.IsNullOrEmpty(BlobContainerName))
{
Console.WriteLine("Azure Storage Connection String or Blob Container Name is not configured.");
return null;
}
try
{
// Get a connection to the storage account
BlobServiceClient blobServiceClient = new BlobServiceClient(AzureStorageConnectionString);
// Get a container client
BlobContainerClient containerClient = blobServiceClient.GetBlobContainerClient(BlobContainerName);
await containerClient.CreateIfNotExistsAsync(); // Create if it doesn't exist.
// Get the name of the file
string videoFileName = Path.GetFileName(videoFilePath);
// Get a client to interact with the blob
BlobClient blobClient = containerClient.GetBlobClient(videoFileName);
// Open the file
using (FileStream fileStream = File.OpenRead(videoFilePath))
{
// Upload the file
await blobClient.UploadAsync(fileStream, new BlobUploadOptions());
}
// Return the URI
return blobClient.Uri;
}
catch (Exception ex)
{
Console.WriteLine($"Error storing video to Blob Storage: {ex.Message}");
return null;
}
}
}
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