A Streamlit app that classifies articles with URL or Text input into categories (e.g., politics, sports, technology, entertainment) and analyzes their tone (negative, positive, or neutral) using ChatGPT-Turbo API. In addition, the app summarizes the news article into different sections and streams back in real time.

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• Classify articles into categories (politics, sports, technology, entertainment)
• Analyze the tone of the article (negative, positive, neutral)
• Summarize news articles into different sections
• Accepts text input or URL input for article analysis

1. Enter your OpenAI API key in the designated text input field.

2. Choose an input option (Text or URL) and paste the article text or URL in the corresponding field.

3. Click on the "Classify and Summarize" button to see the results.

1. Clone the repository

git clone https://github.com/Kaludii/News-Classifier-and-Summarizer.git

2. Change the working directory

cd News-Classifier-and-Summarizer

3. Install the required dependencies

pip install -r requirements.txt

4. Run the Streamlit app

streamlit run app.py

5. Open your browser and go to the specified address (usually http://localhost:8501)

• streamlit
• openai
• requests
• beautifulsoup4