This repository contains the code for an advanced interactive assistant powered by OpenAI's newest model, GPT-4o. The assistant leverages multiple inputs, including screenshots and audio, to provide contextual and accurate responses to user queries. It integrates with a document database to ensure responses are based on relevant context from provided documents.

• Screenshot Capture and Encoding: Utilizes PyAutoGUI to capture screenshots and encode them in base64 format for input to the model.
• Audio Detection and Transcription: Detects and records audio using sounddevice, processes it with Whisper, and transcribes it to text.
• Contextual Responses: Employs document embeddings and similarity search with LangChain and SingleStoreDB to find relevant context for generating responses.
• Text-to-Speech Output: Converts the model's responses into speech using OpenAI's TTS capabilities.

• OpenAI GPT-4o: For generating responses.
• OpenCV: For image processing.
• Whisper: For audio transcription.
• Sounddevice and Soundfile: For audio handling.
• Playsound: For audio playback.
• PyAutoGUI: For screenshot capture.
• LangChain: For document processing and embedding.
• SingleStoreDB: For document storage and similarity search.

1. Capture Screenshot: The assistant captures a screenshot of the current screen.
2. Record Audio: It listens for user speech, records the audio, and transcribes it into text.
3. Context Retrieval: Searches for relevant context in a document database using similarity search.
4. Generate Response: Sends the transcribed text, captured screenshot, and relevant context to the GPT-4o model to generate a response.
5. Text-to-Speech: Converts the generated response to speech and plays it back to the user.

1. Clone the repository.
2. Install the required dependencies:

   pip install openai opencv-python-headless sounddevice numpy soundfile speechrecognition whisper playsound pyautogui langchain_community singlestoredb

3. Set your OpenAI API key in the environment variable OPENAI_API_KEY.
4. Set your SingleStoreDB URL in the environment variable SINGLESTOREDB_URL.
5. Place your documents (e.g., pytorch_docs.txt) in the same directory.
6. Run the main script:

   python computer_assistant.py or python assistant.py

• Integrate additional sensors and input methods.
• Improve audio quality and handling.
• Extend the assistant's capabilities for different use cases and domains.

Feel free to contribute and enhance this interactive assistant!