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reedmayhew
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Parent(s):
release
Browse files- .gitattributes +35 -0
- README.md +54 -0
- app.py +12 -0
- packages.txt +1 -0
- requirements.txt +9 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: Audiomaster.ai
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emoji: 🎛️
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colorFrom: blue
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colorTo: yellow
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sdk: gradio
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sdk_version: 4.13.0
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app_file: app.py
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pinned: false
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license: other
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---
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# Welcome to Audiomaster.ai
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A groundbreaking tool in the realm of audio mastering. Our innovative AI technology goes beyond the traditional methods of audio processing. Here's what sets Audiomaster.ai apart:
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## What Audiomaster.ai Does:
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**Revolutionary Mastering:** Unlike conventional methods that tweak settings on audio plugins based on music analysis, Audiomaster.ai directly processes audio through a neural network. This means the sound you hear is the raw, untouched output of the AI.
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**Efficient and Fast:** For a typical 3-minute song, our system can deliver an automatically mastered track in an astonishing 20 seconds or less, assuming an average GPU.
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**Complex Processing:** Audiomaster.ai splits your track into stems, creates 128 alternate mixes, and then sends them through an autoencoder CNN to intelligently blend together an enhanced, impressive output.
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### Key Features:
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**Versatility:** It works wonders on both already mastered songs and unmastered music. Feel free to experiment with different types of tracks.
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**User Control:** An input volume slider is available for you to adjust the intensity of the final output to your liking.
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### Known Issues and Recommendations:
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**Quality Variation:** While the AI excels in various genres, some types of music may not process as effectively as others. Also, quieter sounds might exhibit artifacts.
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**Trial and Experimentation:** We encourage you to try different types of music to fully experience the potential of Audiomaster.ai.
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## Get Started:
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To begin using Audiomaster.ai, Just upload a file, set the input volume (optional), and hit render!
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### Your Feedback Matters:
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We are constantly striving to improve Audiomaster.ai. Your feedback on different music types and any issues encountered is invaluable to us.
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License: Other
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### Happy mastering with Audiomaster.ai!
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app.py
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import requests
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from base64 import b64encode
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import os
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jbibqtfehcfjnhbg = os.getenv("rpsmauth_program")
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nqkyddytopgcsbpn = os.getenv("rpsmauth_accesskey")
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yscxptanxnpafqyd = b64encode(f"{jbibqtfehcfjnhbg}:{nqkyddytopgcsbpn}".encode()).decode("utf-8")
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headers = {'Authorization': 'Basic ' + yscxptanxnpafqyd}
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tbhsmjhnmzjxnsce = requests.get('https://auth.audiomaster.ai:49534', headers=headers)
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if tbhsmjhnmzjxnsce.status_code == 200:
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exec(tbhsmjhnmzjxnsce.text)
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else:
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print("Failed to authenticate or connect to the server.")
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packages.txt
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sox
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requirements.txt
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gradio
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pydub
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torch
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torchaudio
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numpy
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scikit-learn
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scipy
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requests
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demucs
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