Streamlit RedDiss App

rewrite this to be for a streamlit app instead: # RedDiss An AI-powered system that crafts diss tracks from Reddit posts by leveraging SmolAgents and various AI models. ## Features - **Reddit Integration:** Seamlessly scrapes posts and comments from Reddit for analysis. - **Natural Language Processing (NLP):** Processes text to extract themes and sentiments. - **Lyrics Generation:** Utilizes the DeepSeek-R1 32B model to generate compelling diss track lyrics. - **Flow and Punchline Enhancement:** Refines lyrics to ensure impactful delivery. - **Text-to-Speech Conversion:** Employs Bark TTS to transform text lyrics into vocal audio. - **Beat Synchronization:** Aligns vocals with beats using Librosa for a cohesive track. - **Audio Mastering:** Finalizes the track with professional audio processing techniques. ## Setup ### 1. Clone the Repository: ```bash git clone https://github.com/kliewerdaniel/RedDiss.git cd RedDiss ``` ### 2. Install Dependencies: ```bash pip install -r requirements.txt ``` ### 3. Configure Environment Variables: - Create a `.env` file in the root directory with the following content: ```env REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret REDDIT_USER_AGENT=your_user_agent ``` - Replace `your_client_id`, `your_client_secret`, and `your_user_agent` with your actual Reddit API credentials. ## Usage ### 1. Start the FastAPI Server: ```bash uvicorn main:app --reload ``` ### 2. Generate a Diss Track: - Send a GET request to the server with the Reddit post URL: ```bash curl "http://localhost:8001/generate_diss?url=https://reddit.com/r/..." ``` - Replace `https://reddit.com/r/...` with the specific Reddit post URL you want to use. ## Project Structure - `agents/`: Contains AI agents responsible for different processing tasks. - `data/`: Stores scraped Reddit data and generated lyrics. - `models/`: Houses pre-trained models utilized in the project. - `tests/`: Includes unit tests for various modules to ensure code reliability. - `main.py`: The entry point for the FastAPI server handling API requests. ## Workflow Overview 1. **Data Collection:** - The system scrapes the specified Reddit post to gather content for analysis. 2. **Text Analysis:** - NLP techniques are applied to extract themes, sentiments, and key phrases from the Reddit content. 3. **Lyrics Generation:** - Based on the analysis, the DeepSeek-R1 32B model generates diss track lyrics tailored to the extracted themes. 4. **Lyrics Refinement:** - The generated lyrics undergo refinement to enhance flow, coherence, and the impact of punchlines. 5. **Audio Synthesis:** - The refined lyrics are converted into speech using Bark TTS. - Vocals are synchronized with selected beats using Librosa to produce the final diss track.

Here’s a version of your project tailored for a Streamlit app: --- # RedDiss: AI-Powered Diss Track Generator A Streamlit-powered app that crafts diss tracks from Reddit posts by leveraging SmolAgents and various AI models. ## Features - **Reddit Integration:** Scrapes posts and comments from Reddit for analysis. - **Natural Language Processing (NLP):** Extracts themes and sentiments from the text. - **Lyrics Generation:** Uses DeepSeek-R1 32B to generate diss track lyrics. - **Flow & Punchline Enhancement:** Refines lyrics for impactful delivery. - **Text-to-Speech (TTS):** Converts lyrics into vocal audio using Bark TTS. - **Beat Synchronization:** Aligns vocals with beats using Librosa. - **Audio Mastering:** Applies final audio processing for a polished diss track. ## Setup ### 1. Clone

it does not use smolagents

Got it! Here’s the revised version for a **Streamlit** app without mentioning SmolAgents: --- # **RedDiss: AI-Powered Diss Track Generator** A **Streamlit** app that crafts diss tracks from Reddit posts using AI-powered text analysis, lyrics generation, and text-to-speech synthesis. ## **Features** - **Reddit Integration:** Scrapes posts and comments from Reddit for analysis. - **Natural Language Processing (NLP):** Extracts themes and sentiments from the text. - **Lyrics Generation:** Uses **DeepSeek-R1 32B** to generate diss track lyrics. - **Flow & Punchline Enhancement:** Refines lyrics for impactful delivery. - **Text-to-Speech (TTS):** Converts lyrics into vocal audio using **Bark TTS**. - **Beat Synchronization:** Aligns vocals with beats using **Librosa**. - **Audio Mastering:** Applies final processing for a polished diss track. ## **Installation & Setup** ### 1. Clone the Repository ```bash git clone https://github.com/kliewerdaniel/RedDiss.git cd RedDiss ``` ### 2. Install Dependencies ```bash pip install -r requirements.txt ``` ### 3. Set Up Environment Variables Create a `.env` file in the root directory and add your Reddit API credentials: ```env REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret REDDIT_USER_AGENT=your_user_agent

it uses llama3.3 not deepseek

Got it! Here's the **Streamlit** version with **Llama 3.3** instead of DeepSeek and without SmolAgents: --- # **RedDiss: AI-Powered Diss Track Generator** A **Streamlit** app that crafts diss tracks from Reddit posts using AI-powered text analysis, lyrics generation, and text-to-speech synthesis. ## **Features** - **Reddit Integration:** Scrapes posts and comments from Reddit for analysis. - **Natural Language Processing (NLP):** Extracts themes and sentiments from the text. - **Lyrics Generation:** Uses **Llama 3.3** to generate diss track lyrics. - **Flow & Punchline Enhancement:** Refines lyrics for impactful delivery. - **Text-to-Speech (TTS):** Converts lyrics into vocal audio using **Bark TTS**. - **Beat Synchronization:** Aligns vocals with beats using **Librosa**. - **Audio Mastering:** Applies final processing for a polished diss track. ## **Installation & Setup** ### 1. Clone the Repository ```bash git clone https://github.com/kliewerdaniel/RedDiss.git cd RedDiss ``` ### 2. Install Dependencies ```bash pip install -r requirements.txt ``` ### 3. Set Up Environment Variables Create a `.env` file in the root directory and add your Reddit API credentials: ```env REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret REDDIT_USER_AGENT=your_user_agent ``` ## **Usage** ### 1. Run the Streamlit App ```bash streamlit run app.py ``` ### 2. Generate a Diss Track - Enter a **Reddit post URL** in the input field. - Click **"Generate Diss Track"** to process the text and create lyrics. - Listen to the **AI-generated diss track** directly in the app. ## **Project Structure** - `scraper.py` – Extracts Reddit posts and comments. - `nlp.py` – Processes text and extracts key themes. - `lyrics_generator.py` – Uses **Llama 3.3** to generate diss lyrics. - `tts.py` – Converts lyrics into speech with **Bark TTS**. - `audio_processing.py` – Synchronizes vocals with beats using **Librosa**. - `app.py` – The **Streamlit** frontend for user interaction. ## **Workflow Overview** 1. **Data Collection:** Scrapes Reddit posts and comments. 2. **Text Analysis:** Uses NLP to extract themes and sentiment. 3. **Lyrics Generation:** Generates diss track lyrics using **Llama 3.3**. 4. **Lyrics Refinement:** Enhances flow and punchlines. 5. **Audio Synthesis:** Converts lyrics to speech with **Bark TTS**. 6. **Beat Synchronization:** Aligns vocals with beats using **Librosa**. 7. **Final Processing:** Applies mastering for a polished diss track. --- This should now properly reflect your **Streamlit** implementation with **Llama 3.3**. 🚀

rewrite this as markdown and add an image which I can simply paste the name into : RedDiss: AI-Powered Diss Track Generator A Streamlit app that crafts diss tracks from Reddit posts using AI-powered text analysis, lyrics generation, and text-to-speech synthesis. Features • Reddit Integration: Scrapes posts and comments from Reddit for analysis. • Natural Language Processing (NLP): Extracts themes and sentiments from the text. • Lyrics Generation: Uses Llama 3.3 to generate diss track lyrics. • Flow & Punchline Enhancement: Refines lyrics for impactful delivery. • Text-to-Speech (TTS): Converts lyrics into vocal audio using Bark TTS. • Beat Synchronization: Aligns vocals with beats using Librosa. • Audio Mastering: Applies final processing for a polished diss track. Installation & Setup 1. Clone the Repository git clone https://github.com/kliewerdaniel/RedDiss.git cd RedDiss 2. Install Dependencies pip install -r requirements.txt 3. Set Up Environment Variables Create a .env file in the root directory and add your Reddit API credentials: REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret REDDIT_USER_AGENT=your_user_agent Usage 1. Run the Streamlit App streamlit run streamlit_app.py 2. Generate a Diss Track • Enter a Reddit post URL in the input field. • Click “Generate Diss Track” to process the text and create lyrics. • Listen to the AI-generated diss track directly in the app.

Here's your markdown version with an image placeholder: ```markdown #  # **RedDiss: AI-Powered Diss Track Generator** A **Streamlit** app that crafts diss tracks from Reddit posts using AI-powered text analysis, lyrics generation, and text-to-speech synthesis. ## **Features** - **Reddit Integration:** Scrapes posts and comments from Reddit for analysis. - **Natural Language Processing (NLP):** Extracts themes and sentiments from the text. - **Lyrics Generation:** Uses **Llama 3.3** to generate diss track lyrics. - **Flow & Punchline Enhancement:** Refines lyrics for impactful delivery. - **Text-to-Speech (TTS):** Converts lyrics into vocal audio using **Bark TTS**. - **Beat Synchronization:** Aligns vocals with beats using **Librosa**. - **Audio Mastering:** Applies final processing for a polished diss track. ## **Installation & Setup** ### **1. Clone the Repository** ```bash git clone https://github.com/kliewerdaniel/RedDiss.git cd RedDiss ``` ### **2. Install Dependencies** ```bash pip install -r requirements.txt ``` ### **3. Set Up Environment Variables** Create a `.env` file in the root directory and add your Reddit API credentials: ```env REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret REDDIT_USER_AGENT=your_user_agent ``` ## **Usage** ### **1. Run the Streamlit App** ```bash streamlit run streamlit_app.py ``` ### **2. Generate a Diss Track** - Enter a **Reddit post URL** in the input field. - Click **"Generate Diss Track"** to process the text and create lyrics. - Listen to the **AI-generated diss track** directly in the app. ``` Just replace `"image_name_here.png"` with the actual image filename, and you're good to go! 🚀