Added new list command to CLI

Author: leopiney

README.md

@@ -8,11 +8,11 @@ Neural Noise is an AI-powered podcast studio that uses multiple AI agents workin
 
 ## Examples
 
-| Source | Neural Noise |
-| ------ | ------------ |
-| [TikTok owner sacks intern for sabotaging AI project](https://www.bbc.com/news/articles/c7v62gg49zro) | <video src="https://github.com/user-attachments/assets/e79982c8-bb58-4395-8bce-aa25eee0b5c5" /> |
+| Source                                                                                                                                                                    | Neural Noise                                                                                    |
+| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
+| [TikTok owner sacks intern for sabotaging AI project](https://www.bbc.com/news/articles/c7v62gg49zro)                                                                     | <video src="https://github.com/user-attachments/assets/e79982c8-bb58-4395-8bce-aa25eee0b5c5" /> |
 | [Before you buy a domain name, first check to see if it's haunted](https://www.bryanbraun.com/2024/10/25/before-you-buy-a-domain-name-first-check-to-see-if-its-haunted/) | <video src="https://github.com/user-attachments/assets/53fabfd9-5422-431a-9ed5-6d9dd58de92e" /> |
-| [Linus Torvalds Comments On The Russian Linux Maintainers Being Delisted](https://www.phoronix.com/news/Linus-Torvalds-Russian-Devs) | <video src="https://github.com/user-attachments/assets/85671e26-ae06-4152-b6a2-e5aa6916e5b0" /> |
+| [Linus Torvalds Comments On The Russian Linux Maintainers Being Delisted](https://www.phoronix.com/news/Linus-Torvalds-Russian-Devs)                                      | <video src="https://github.com/user-attachments/assets/85671e26-ae06-4152-b6a2-e5aa6916e5b0" /> |
 
 ## Objective
 
@@ -62,7 +62,7 @@ To run the Neural Noise application first make sure that you create a configurat
 Then you can run the application with:
 
 ```
-nn <url|filepath> --name <name> --config-path <config>
+nn new <url|filepath> --name <name> --config-path <config>
 ```
 
 ## Want to edit the generated script?

config/config_elevenlabs.json

@@ -36,4 +36,4 @@
       }
     }
   }
-}
+}

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "neuralnoise"
-version = "0.4.0"
+version = "0.5.0"
 description = "An AI-powered podcast studio that uses multiple AI agents working together."
 authors = [
     { name = "Leonardo Piñeyro", email = "[email protected]" }
@@ -43,6 +43,7 @@ dependencies = [
     "pymupdf>=1.24.12",
     "python-dotenv>=1.0.1",
     "requests>=2.32.3",
+    "tabulate>=0.9.0",
     "typer>=0.12.5",
     "youtube-transcript-api>=0.6.2",
 ]

src/neuralnoise/cli.py

@@ -1,7 +1,9 @@
 from pathlib import Path
-
 import typer
 from dotenv import load_dotenv
+from pydub import AudioSegment
+from tabulate import tabulate
+from pydub.exceptions import CouldntDecodeError
 
 from neuralnoise.extract import extract_content
 from neuralnoise.studio import create_podcast_episode
@@ -49,5 +51,56 @@ def new(
     typer.echo(f"Podcast generation complete. Output saved to {output_dir}")
 
 
+def get_audio_length(file_path: Path) -> float:
+    """Get the length of an audio file in seconds."""
+    try:
+        audio = AudioSegment.from_file(file_path)
+        return len(audio) / 1000  # Convert milliseconds to seconds
+    except CouldntDecodeError:
+        typer.echo(f"Error: Couldn't decode audio file {file_path}")
+        return -1.0
+
+
+@app.command("list")
+def list_episodes():
+    """
+    List all generated podcast episodes stored in the 'output' folder,
+    including their audio file length in minutes. Episodes with invalid audio files are filtered out.
+    """
+    output_dir = Path("output")
+    if not output_dir.exists():
+        typer.echo("No episodes found. The 'output' folder does not exist.")
+        return
+
+    episodes = [d for d in output_dir.iterdir() if d.is_dir()]
+
+    if not episodes:
+        typer.echo("No episodes found in the 'output' folder.")
+        return
+
+    episode_data = []
+    for episode in sorted(episodes):
+        audio_files = list(episode.glob("*.wav")) + list(episode.glob("*.mp3"))
+        if audio_files:
+            audio_file = audio_files[0]  # Take the first audio file found
+            length_seconds = get_audio_length(audio_file)
+            if length_seconds != -1:  # Filter out invalid audio files
+                length_minutes = length_seconds / 60  # Convert seconds to minutes
+                episode_data.append(
+                    [episode.name, audio_file.name, f"{length_minutes:.2f}"]
+                )
+        else:
+            episode_data.append([episode.name, "No audio file", "N/A"])
+
+    if not episode_data:
+        typer.echo("No valid episodes found.")
+        return
+
+    headers = ["Episode", "Audio File", "Length (minutes)"]
+    table = tabulate(episode_data, headers=headers, tablefmt="grid")
+    typer.echo("Generated podcast episodes:")
+    typer.echo(table)
+
+
 if __name__ == "__main__":
     app()

src/neuralnoise/studio/create.py

@@ -74,7 +74,7 @@ def create_podcast_episode(
     name: str,
     content: str,
     config_file: str | Path,
-    format: Literal["wav", "mp3", "ogg"] = "ogg",
+    format: Literal["wav", "mp3", "ogg"] = "wav",
     only_script: bool = False,
 ):
     # Create output directory