mirror of
https://github.com/nomic-ai/gpt4all.git
synced 2024-07-14 16:40:36 +03:00
9273b49b62
Signed-off-by: Adam Treat <treat.adam@gmail.com> Signed-off-by: Jared Van Bortel <jared@nomic.ai> Co-authored-by: Jared Van Bortel <jared@nomic.ai>
101 lines
2.5 KiB
C++
101 lines
2.5 KiB
C++
#ifndef EMBLLM_H
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#define EMBLLM_H
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#include <QByteArray>
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#include <QMutex>
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#include <QObject>
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#include <QString>
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#include <QStringList>
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#include <QThread>
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#include <QVariant>
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#include <QVector>
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#include <atomic>
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#include <vector>
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class LLModel;
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class QNetworkAccessManager;
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struct EmbeddingChunk {
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QString model; // TODO(jared): use to select model
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int folder_id;
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int chunk_id;
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QString chunk;
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};
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Q_DECLARE_METATYPE(EmbeddingChunk)
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struct EmbeddingResult {
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QString model;
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int folder_id;
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int chunk_id;
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std::vector<float> embedding;
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};
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class EmbeddingLLMWorker : public QObject {
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Q_OBJECT
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public:
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EmbeddingLLMWorker();
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~EmbeddingLLMWorker() override;
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void wait();
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std::vector<float> lastResponse() const { return m_lastResponse; }
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bool loadModel();
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bool isNomic() const { return !m_nomicAPIKey.isEmpty(); }
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bool hasModel() const { return isNomic() || m_model; }
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std::vector<float> generateQueryEmbedding(const QString &text);
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public Q_SLOTS:
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void atlasQueryEmbeddingRequested(const QString &text);
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void docEmbeddingsRequested(const QVector<EmbeddingChunk> &chunks);
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Q_SIGNALS:
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void requestAtlasQueryEmbedding(const QString &text);
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void embeddingsGenerated(const QVector<EmbeddingResult> &embeddings);
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void errorGenerated(const QVector<EmbeddingChunk> &chunks, const QString &error);
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void finished();
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private Q_SLOTS:
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void handleFinished();
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private:
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void sendAtlasRequest(const QStringList &texts, const QString &taskType, const QVariant &userData = {});
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QString m_nomicAPIKey;
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QNetworkAccessManager *m_networkManager;
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std::vector<float> m_lastResponse;
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LLModel *m_model = nullptr;
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std::atomic<bool> m_stopGenerating;
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QThread m_workerThread;
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QMutex m_mutex; // guards m_model and m_nomicAPIKey
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};
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class EmbeddingLLM : public QObject
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{
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Q_OBJECT
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public:
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EmbeddingLLM();
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~EmbeddingLLM() override;
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static QString model();
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bool loadModel();
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bool hasModel() const;
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public Q_SLOTS:
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std::vector<float> generateQueryEmbedding(const QString &text); // synchronous
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void generateDocEmbeddingsAsync(const QVector<EmbeddingChunk> &chunks);
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Q_SIGNALS:
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void requestDocEmbeddings(const QVector<EmbeddingChunk> &chunks);
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void embeddingsGenerated(const QVector<EmbeddingResult> &embeddings);
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void errorGenerated(const QVector<EmbeddingChunk> &chunks, const QString &error);
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private:
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EmbeddingLLMWorker *m_embeddingWorker;
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};
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#endif // EMBLLM_H
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