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Switched to using DeepSeek-V3 for both Engineer and Analyst pipelines for text generation. Updated references to ensure compatibility and performance with the model.
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metadata
title: MultiAgent XAI Demo
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: false
license: mit
short_description: A demo showcasing multi-agent conversational AI.

MultiAgent XAI Demo

This demo leverages the microsoft/phi-4 language model for simulating a conversation between two roles: an Engineer and an Analyst. The goal is to collaboratively address user-provided queries and produce actionable insights.

Features

  • Engineer Role: Provides concise, technical solutions.
  • Analyst Role: Offers data-driven recommendations to complement the Engineer's response.
  • Natural Dialogue: Facilitates a three-turn conversation between the roles.
  • Actionable Summary: Generates a final plan summarizing key insights.

How It Works

  1. The user enters a query.
  2. The Engineer and Analyst respond alternately, building on each other's inputs.
  3. A final summary is generated, integrating technical and analytical perspectives.

Technology Stack

  • Streamlit: Interactive web interface.
  • Hugging Face Transformers: Using pipeline with the microsoft/phi-4 model for text generation.

Getting Started

  1. Clone this repository:
    git clone <repository-url>
  2. Install dependencies:
    pip install -r requirements.txt
  3. Run the application:
    streamlit run app.py

Configuration Reference

Refer to the Hugging Face Spaces Config Reference for deployment options.

License

This project is licensed under the MIT License. See the LICENSE file for details.