AI Analysis
The package exhibits moderate risk due to its network communication with an external API and missing metadata. While it does not show signs of immediate malicious activity, the lack of repository and author information raises concerns about its legitimacy.
- Moderate network risk due to API communication
- Missing repository and author details
Per-check LLM notes
- Network: The network calls suggest the package is likely communicating with an external API, possibly for transcription services, which is somewhat expected but could indicate potential data transmission risks.
- Shell: Subprocess calls are used to execute external commands, possibly for audio processing tasks. While this is not inherently suspicious, it could be leveraged for unintended purposes if not properly sanitized.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is suspicious due to the lack of repository and author details, suggesting potential malicious intent.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3831 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
59 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 4 network call pattern(s)
on"} try: resp = httpx.post(f"{endpoint.rstrip('/')}/chat/completions", json=payload, hean error. """ resp = httpx.post( _DEMO_ENDPOINT, headers={ "Refeneeded self._client = httpx.Client( headers={"Authorization": f"Bearer {api_key}"},chat/completions" resp = httpx.post( url, headers={"Authorization": f"Bearer {ap
No obfuscation patterns detected
Found 6 shell execution pattern(s)
py", audio_path] result = subprocess.run(cmd, capture_output=True, text=True) if result.returncodh, ] result = subprocess.run(cmd, capture_output=True, text=True, check=True) ret"null", "-"] result = subprocess.run(cmd, capture_output=True, text=True) ends: list[floautput_path, ] subprocess.run(cmd, capture_output=True, check=True) """context_extractor:ILENCE_MIN_DUR}" result = subprocess.run( ["ffmpeg", "-i", file_path, "-af", af, "-f", "null"audio/video.""" result = subprocess.run( [ "ffmpeg", "-i", file_path,
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: sun-asterisk.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'SubtitleMaster' which leverages the 'audio-transcribe-cli' Python package to provide users with a straightforward way to generate subtitles from their audio and video files. This application will serve as both a command-line tool and a simple graphical interface, making it accessible to users of all technical backgrounds. The core functionality of 'SubtitleMaster' includes: - Accepting user input for the path to the audio or video file they wish to transcribe. - Utilizing the 'audio-transcribe-cli' package to process the input file and generate SRT subtitle files. - Offering an HTML viewer integrated within the application for previewing the generated subtitles. - Providing options for customizing subtitle styles such as font size, color, and background opacity. - Allowing users to save the final SRT file and HTML preview directly to their local system. Additional features to consider adding: - Support for multiple languages to cater to a global audience. - A progress bar during the transcription process to keep users informed about the status. - An option to automatically detect the language of the input audio/video for seamless usage across different regions. - Integration with cloud storage services like Google Drive or Dropbox for easy sharing and collaboration. To utilize the 'audio-transcribe-cli' package effectively, your application should follow these steps: 1. Install the package via pip if not already installed. 2. Prompt the user to select the file they want to transcribe. 3. Use the 'audio-transcribe-cli' command-line interface to initiate the transcription process, specifying any necessary parameters such as language detection or customization settings. 4. Once the transcription is complete, display the SRT content in an embedded HTML viewer within your application for user review. 5. Provide options to edit the generated subtitles before saving them. 6. Allow users to export the final version of the SRT file and the HTML preview to their desired location on their device. By following these guidelines, 'SubtitleMaster' aims to become a go-to tool for anyone looking to quickly and efficiently create subtitles for their multimedia content.
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