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A newer version of the Streamlit SDK is available: 1.54.0

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metadata 
title: Sentiment-Aware Text Generator
emoji: 🤖
colorFrom: purple
colorTo: indigo
sdk: streamlit
app_file: app.py
pinned: false

Sentiment-Aware Text Generator

This app leverages Hugging Face pretrained models to generate paragraphs aligned with the sentiment of an input prompt.

How It Works

  1. The user enters a text prompt into the Streamlit web interface.
  2. The app uses a RoBERTa-based sentiment analysis model to classify the sentiment as positive, negative, or neutral.
  3. Based on this sentiment, it crafts a prompt for text generation.
  4. The Qwen text-generation model generates a paragraph matching the detected sentiment.
  5. The app displays both the detected sentiment and the generated paragraph interactively.

Requirements

The app requires Python packages listed in requirements.txt, including:

  • streamlit
  • transformers
  • torch

Running the App

To run: https://huggingface.co/spaces/dimoZ/AI_Sentiment_Essay_Generato