Fall in Love with Deepseek

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Degree students trying to win competitions and gain experiences

Involution

nghh

kailiang

This project implements a DeepSeek LLM-based sentiment analysis application using Streamlit for an interactive web interface. The model, deepseek-ai/deepseek-llm-7b-base, is loaded with transformers and deployed via Google Colab. The app accepts text input from users and analyzes sentiment by generating a response from the model, returning only one of three possible outputs: POSITIVE, NEGATIVE, or NEUTRAL. The pipeline is optimized for automatic device selection (device_map="auto") and utilizes offloading to manage memory efficiently. Streamlit serves the app on port 8501, and a Colab proxy exposes it via a public URL.



A sentiment analysis web app using the DeepSeek LLM model, deployed with Streamlit on Google Colab. It classifies text as POSITIVE, NEGATIVE, or NEUTRAL based on user input.

"Involution team on Fall in Love with Deepseek Hackathon"

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