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README.md
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# LLM-Based Chat Application
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This is a language model-based chat application that provides users with relevant, up-to-date, and easy-to-understand responses by leveraging web search and a powerful language model. The basic flow involves performing a web search using DuckDuckGo, followed by generating a response using the Qwen2.5-0.5b-Instruct language model.
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## Features
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- **Web Search**: Performs real-time searches using DuckDuckGo to retrieve the latest relevant information.
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- **Language Model Integration**: Uses the `qwen2.5-0.5b-instruct` model for generating accurate and coherent responses.
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- **Simple Interface**: Built with Gradio to offer an easy-to-use web interface for users to interact with the model.
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- **Efficient and Scalable**: Optimized for performance using Intel-specific optimizations via `optimum-intel` and other acceleration libraries.
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## Dependencies
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The following dependencies are required for running this application:
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- `openvino>=2024.2.0`
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- `openvino-tokenizers[transformers]`
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- `torch>=2.1`
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- `datasets`
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- `duckduckgo-search`
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- `langchain-community`
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- `accelerate`
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- `gradio>=4.19`
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- `onnx<=1.16.1` (For Windows platform `sys_platform=='win32'`)
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- `einops`
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- `transformers>=4.43.1`
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- `transformers_stream_generator`
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- `tiktoken`
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- `bitsandbytes`
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- `optimum-intel` (installed via `git+https://github.com/huggingface/optimum-intel.git`)
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- `nncf` (installed via `git+https://github.com/openvinotoolkit/nncf.git`)
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## Installation
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To install the required dependencies, you can use the following command:
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```bash
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pip install -r requirements.txt
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