Update README.md

README.md

@@ -9,163 +9,3 @@ app_file: app.py
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 license: mit
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-
-# All-in-One News Generator
-
-An AI-powered application that assists journalists and content creators in generating well-structured news articles by processing multiple types of input sources.
-
-Created by [Camilo Vega](https://www.linkedin.com/in/camilo-vega-169084b1/), AI Consultant
-
-![News Generator](https://via.placeholder.com/800x400?text=News+Generator+App)
-
-## Features
-
-- **Multi-Source Input Processing**:
-  - Audio and video transcription using OpenAI's Whisper model
-  - Social media content extraction (text and video)
-  - Document analysis (PDF, DOCX, XLSX, CSV)
-  - Web content extraction
-
-- **Advanced AI Article Generation**:
-  - Produces well-structured news articles following journalistic principles
-  - Automatically answers the 5 Ws (Who, What, When, Where, Why) in the first paragraph
-  - Maintains quote integrity with 80% direct quotes
-  - Customizable tone (serious, neutral, lighthearted)
-  - Adjustable article length
-
-- **User-Friendly Interface**:
-  - Organized tab-based input system
-  - Real-time transcription preview
-  - Simple one-click draft generation
-
-## Installation
-
-### Prerequisites
-
-- Python 3.8 or higher
-- [OpenAI API Key](https://platform.openai.com/)
-- Required packages (see requirements below)
-
-### Step 1: Clone the repository
-
-```bash
-git clone https://github.com/yourusername/news-generator.git
-cd news-generator
-```
-
-### Step 2: Create a virtual environment
-
-```bash
-python -m venv venv
-source venv/bin/activate  # On Windows, use: venv\Scripts\activate
-```
-
-### Step 3: Install dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-### Step 4: Set up your OpenAI API key
-
-```bash
-# On Linux/Mac
-export OPENAI_API_KEY="your-api-key-here"
-
-# On Windows
-set OPENAI_API_KEY="your-api-key-here"
-```
-
-### Requirements
-
-Create a `requirements.txt` file with the following dependencies:
-
-```
-openai
-whisper
-gradio
-pydub
-PyMuPDF
-python-docx
-pandas
-requests
-beautifulsoup4
-moviepy
-yt-dlp
-```
-
-## Usage
-
-### Starting the application
-
-```bash
-python app.py
-```
-
-The application will be available at `http://127.0.0.1:7860` in your web browser.
-
-### Using the application
-
-1. **Input your requirements**:
-   - Enter your news article instructions
-   - Describe the key facts of your news story
-   - Set the desired word count and tone
-
-2. **Add your sources**:
-   - Upload audio/video files for automatic transcription
-   - Add social media URLs to extract content
-   - Include web URLs for additional information
-   - Upload documents (PDF, DOCX, XLSX, CSV) to extract relevant data
-
-3. **Generate your draft**:
-   - Click "Generate Draft" to create your news article
-   - Review the transcriptions to verify source accuracy
-   - Use the generated draft as a starting point for your news story
-
-## Technical Details
-
-### Key Components
-
-- **Whisper Model**: Large-scale speech recognition model for accurate audio transcription
-- **yt-dlp**: Library for downloading videos from various platforms
-- **BeautifulSoup**: Web scraping tool for extracting content from URLs
-- **OpenAI API**: Powers the advanced language generation capabilities
-- **Gradio**: Creates the user-friendly web interface
-
-### Architecture
-
-The application follows a modular design with specialized functions for different types of content processing:
-
-- Audio/video processing pipeline:
-  1. Download or read file
-  2. Convert to audio if needed
-  3. Preprocess audio for quality
-  4. Transcribe using Whisper
-
-- Document processing:
-  - PDF: Extract text from all pages
-  - DOCX: Extract text from all paragraphs
-  - XLSX/CSV: Convert to string representation
-
-- Web content:
-  - Extract text from URLs
-  - Process social media content (both text and video)
-
-- Knowledge base compilation:
-  - Organize all sources into a structured format
-  - Prepare transcriptions with proper attribution
-  - Format content for AI processing
-
-## License
-
-This project is licensed under the MIT License - see the LICENSE file for details.
-
-## Acknowledgments
-
-- OpenAI for the Whisper and GPT models
-- Gradio team for the web interface framework
-- All open-source libraries utilized in this project
-
----
-
-© 2025 Camilo Vega. All Rights Reserved.