LeMUR

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using AssemblyAI;
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using AssemblyAI.Lemur;
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using AssemblyAI.Transcripts;
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var client = new AssemblyAIClient("<YOUR_API_KEY>");
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// You can use a local file:
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/*
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var transcript = await client.Transcripts.TranscribeAsync(
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    new FileInfo("./example.mp3")
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);
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*/
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// Or use a publicly-accessible URL:
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const string audioUrl = "https://assembly.ai/sports_injuries.mp3";
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var transcript = await client.Transcripts.TranscribeAsync(new TranscriptParams
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{
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    AudioUrl = audioUrl
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});
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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = "Provide a brief summary of the transcript.",
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    TranscriptIds = [transcript.Id],
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    FinalModel = LemurModel.AnthropicClaude3_5_Sonnet
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};
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var response = await client.Lemur.TaskAsync(lemurTaskParams);
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Console.WriteLine(response.Response);

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using AssemblyAI;
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using AssemblyAI.Lemur;
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using AssemblyAI.Transcripts;
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var client = new AssemblyAIClient("<YOUR_API_KEY>");
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// Step 1: Transcribe an audio file. For local files see our Getting Started guides.
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var transcript = await client.Transcripts.TranscribeAsync(new TranscriptParams
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{
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    AudioUrl = "https://assembly.ai/sports_injuries.mp3"
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});
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// Step 2: Define a prompt with your question(s).
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const string prompt = "What is a runner's knee?";
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// Step 3: Apply LeMUR.
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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    TranscriptIds = [transcript.Id],
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    FinalModel = LemurModel.AnthropicClaude3_5_Sonnet
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};
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var response = await client.Lemur.TaskAsync(lemurTaskParams);
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Console.WriteLine(response.Response);

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using AssemblyAI;
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using AssemblyAI.Lemur;
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using AssemblyAI.Transcripts;
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var client = new AssemblyAIClient("<YOUR_API_KEY>");
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var transcript = await client.Transcripts.TranscribeAsync(new TranscriptParams
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{
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    AudioUrl = "https://assembly.ai/meeting.mp4"
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});
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var lemurTaskParams = new LemurQuestionAnswerParams
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{
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    TranscriptIds = [transcript.Id],
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    FinalModel = LemurModel.AnthropicClaude3_5_Sonnet,
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    Context = "A GitLab meeting to discuss logistic",
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    Questions =
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    [
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        new LemurQuestion
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        {
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            Question = "What are the top level KPIs for engineering?",
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            Context = "KPI stands for key performance indicator",
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            AnswerFormat = "short sentence"
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        },
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        new LemurQuestion
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        {
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            Question = "How many days has it been since the data team has gotten updated metrics?",
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            Context = "KPI stands for key performance indicator",
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            AnswerOptions = ["1", "2", "3", "4", "5", "6", "7", "more than 7"]
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        }
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    ]
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};
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var response = await client.Lemur.QuestionAnswerAsync(lemurTaskParams);
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foreach (var qa in response.Response)
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{
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    Console.WriteLine($"Question: {qa.Question}");
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    Console.WriteLine($"Answer: {qa.Answer}");
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}

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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    TranscriptIds = [transcript.Id],
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    FinalModel = LemurModel.AnthropicClaude3_5_Sonnet
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};

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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    TranscriptIds = [transcript.Id],
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    MaxOutputSize = 1000
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};

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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    TranscriptIds = [transcript.Id],
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    Temperature = 0.7f
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};

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var transcript = await client.Transcripts.TranscribeAsync(new TranscriptParams
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{
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    AudioUrl = "https://assembly.ai/sports_injuries.mp3",
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    SpeakerLabels = true
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});
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var textWithSpeakerLabels = string.Join(
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    "",
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    transcript.Utterances!.Select(utterance => $"Speaker {utterance.Speaker}:\n{utterance.Text}\n")
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);
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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    InputText = textWithSpeakerLabels
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};
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var response = await client.Lemur.TaskAsync(lemurTaskParams);

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var lemurTaskParams = new LemurTaskParams
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{
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    Prompt = prompt,
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    TranscriptIds = [id1, id2, id3]
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};

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var response = await client.Lemur.TaskAsync(lemurTaskParams);
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var deletionResponse = await client.Lemur.PurgeRequestDataAsync(response.RequestId);