Added init module for neuralnoise

Author: leopiney

README.md

@@ -40,7 +40,7 @@ To install Neural Noise, follow these steps:
    ```
    git clone https://github.com/leopiney/neuralnoise.git
    cd neuralnoise
-   uv sync
+   pip install .
    ```
 
 2. Set up your API keys:
@@ -80,6 +80,7 @@ The application will regenerate the podcast, preserving unmodified segments and
 - [ ] Add local LLM provider. More generic LLM configuration. Leverage AutoGen for this.
 - [ ] Add local TTS provider
 - [ ] Add podcast generation format options: interview, narrative, etc.
+- [ ] Add podcast generation from multiple source files
 - [ ] Add more agent roles to the studio. For example, a "Content Curator" or "Content Researcher" that uses tools to find and curate content before being analyzed. Or a "Sponsor" agent that adds segways to ads in the podcast script ([à la LTT](https://www.youtube.com/live/EefvOLKoXdg?si=G1714t2jK4ZIvao0&t=5307)).
 - [ ] Add music and sound effects options
 - [ ] Real-time podcast generation with human and AI collaboration (🤔)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "neuralnoise"
-version = "0.3.0"
+version = "0.4.0"
 description = "An AI-powered podcast studio that uses multiple AI agents working together."
 authors = [
     { name = "Leonardo Piñeyro", email = "[email protected]" }

src/neuralnoise/__init__.py

@@ -0,0 +1,4 @@
+from neuralnoise.studio import create_podcast_episode
+from neuralnoise.extract import extract_content
+
+__all__ = ["create_podcast_episode", "extract_content"]

src/neuralnoise/cli.py

@@ -25,7 +25,7 @@ def new(
 
     For example:
 
-    nn new https://www.bbc.com/news/articles/c7v62gg49zro --name bbc_ai_podcast --config-file config/ai_podcast_config.json
+    nn <url|file> --name <name> --config-file config/config_openai.json
     """
     typer.echo(f"Generating script from {input}")
 

src/neuralnoise/extract.py

@@ -2,7 +2,7 @@
 from pathlib import Path
 from tempfile import NamedTemporaryFile
 
-import requests
+import requests  # type: ignore
 from langchain_community.document_loaders import (
     BSHTMLLoader,
     PyMuPDFLoader,