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https://github.com/cris-m/langgraph_examples

duckduckgo kokoro langgraph llama3-2 whisper

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Host: GitHub
URL: https://github.com/cris-m/langgraph_examples
Owner: cris-m
Created: 2025-01-14T04:46:41.000Z (5 days ago)
Default Branch: main
Last Pushed: 2025-01-18T04:58:07.000Z (about 18 hours ago)
Last Synced: 2025-01-18T05:29:20.966Z (about 17 hours ago)
Topics: duckduckgo, kokoro, langgraph, llama3-2, whisper
Language: Jupyter Notebook
Homepage:
Size: 25.4 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # **Examples Repository**

This repository contains a collection of examples demonstrating the usage of [LangGraph](https://github.com/langchain-ai/langgraph) in various applications. LangGraph is a powerful framework for building dynamic, decision-making workflows with natural language processing capabilities.

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### **Overview**  

LangGraph provides a way to model complex conversational flows, manage state, and integrate external tools and APIs seamlessly. The examples in this repository aim to showcase the versatility of LangGraph for different real-world use cases, from personal assistants to privacy-focused agents.  

Each folder represents a different project or example that demonstrates how LangGraph can be combined with various technologies like OpenAI models, audio-based input/output, and external web services.

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### **Featured Examples**

1. **Voice Assistance**  

   This project demonstrates a voice-based assistant that uses:  

   - **Llama 3.2 (3B)** for natural language understanding (via [Ollama](https://ollama.com/library/llama3.2))  

   - **[Whisper](https://github.com/openai/whisper)** for local audio transcription  

   - **[Kokoro](https://huggingface.co/hexgrad/Kokoro-82M)** for local text-to-speech (TTS)  

   - **DuckDuckGo** for privacy-focused web searches.  

   **Note**: This project runs 100% locally, using open-source models to ensure privacy and control over data.  

   [Link to Voice Assistance Project](https://github.com/cris-m/langraph_examples/blob/main/voice_assistance/voice_assistance.ipynb)

2. **Vision Assistance**  

   This project showcases a vision-based assistant capable of analyzing both text and images. It uses:  

   - **Llama 3.2 Vision (11B)** via [Ollama](https://ollama.com/library/llama3.2-vision) for multimodal understanding.  

   - **LangGraph** to dynamically handle workflows and integrate visual and textual data.  

   - Built-in **image preprocessing**, where images are converted to Base64 strings for seamless compatibility.  

   - Advanced vision capabilities, including:  

     - Object detection and scene understanding.  

     - OCR for extracting text from images.  

     - Multimodal question answering combining text and visual inputs.  

   **Note**: This project ensures privacy by running all computations locally and leveraging cutting-edge models for visual analysis.  

   [Link to Vision Assistance Project](https://github.com/cris-m/langraph_examples/blob/main/vision_assistance/vision_assistance.ipynb)

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### **Future Updates**  

This repository will be gradually updated with more examples showcasing the diverse applications of LangGraph. Stay tuned for new projects and enhancements!

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