Hmm… First of all, I don’t think it’s your fault or your HF account’s fault. Here are some common scenarios:
LLM-assisted explanation / notes
The following section was drafted with help from an LLM.
It is not an official statement from Hugging Face, SongAnalyzer.ai, or the SongFormer authors. It is a best-effort interpretation based on the public error text, Hugging Face documentation, and public Hugging Face/SongFormer pages.
I am adding detail because this kind of issue is very confusing if you are not a developer: you open one website, but the error message comes from another platform that the website may be using behind the scenes.
Practical answer first
This probably is not caused by your own Hugging Face account.
It also probably is not something Hugging Face Support can fully fix for you, unless you are debugging your own Hugging Face Space/account directly.
For this specific issue, the practical place to ask for help is probably SongAnalyzer.ai’s operator/support, because the failing Hugging Face ZeroGPU call appears to be part of SongAnalyzer.ai’s internal backend pipeline.
Hugging Face can explain how ZeroGPU quotas work, but if a third-party website calls a Hugging Face Space internally, only that website’s operator can usually fix:
- which token/account is used,
- whether user identity is forwarded,
- whether enough credits/compute are available,
- whether requests are rate-limited,
- and whether raw backend tracebacks are shown to users.
My best guess
SongAnalyzer.ai appears to be a separate website, but at least one heavy part of its analysis pipeline is probably using a Hugging Face ZeroGPU Space internally.
In simple terms, the system may look something like this:
You
-> SongAnalyzer.ai website
-> SongAnalyzer.ai backend/server
-> a Hugging Face ZeroGPU Space or similar ZeroGPU-based code
-> ZeroGPU quota error
-> raw backend error leaks into the SongAnalyzer.ai result
So even though you are trying to use SongAnalyzer.ai, the actual failing backend step may be a Hugging Face ZeroGPU job.
That would explain why a Hugging Face ZeroGPU error appears on a SongAnalyzer.ai page.
Why I think SongAnalyzer.ai may be using a Hugging Face ZeroGPU Space internally
SongAnalyzer.ai describes itself as a tool to find BPM, detect musical key, and analyze song structure:
The interesting part is the traceback in this forum thread. It contains Hugging Face ZeroGPU internals and function names like:
spaces.zero.wrappers.py
spaces.zero.gradio.HTMLError
User is running out of daily ZeroGPU quotas
process_audio
process_and_analyze
That suggests the failing part is not a normal SongAnalyzer.ai web-page error. It looks like a Python/Gradio/Hugging Face Spaces backend error.
There is a public Hugging Face project called SongFormer:
The SongFormer model page says it is a music structure analysis framework:
The SongFormer Space page is shown as Running on Zero, and its app.py contains function names and flow that look close to the traceback:
def process_audio(...):
...
def process_and_analyze(audio_file):
...
logits, msa_output = process_audio(audio_file)
...
The public app.py does not prove that SongAnalyzer.ai is directly calling this exact public Space. It might be:
- directly calling the public SongFormer Space,
- calling a duplicated copy of that Space,
- calling a protected/private derivative Space,
- using copied/adapted SongFormer code in another Space,
- or using a similar music-structure-analysis Space/codebase.
I would treat it as a strong clue, not proof.
Still, the match is strong enough that this is a reasonable guess:
SongAnalyzer.ai may do basic BPM/key analysis itself,
but delegate the heavier song-structure analysis to a SongFormer-like ZeroGPU backend.
That would also explain why BPM/key fields may exist while the structure field contains the ZeroGPU traceback.
Why a Hugging Face error can appear on another website
Hugging Face Spaces are not only web demos. They can also be called as APIs from other apps.
Relevant docs:
So a website can be built like this:
Visible website:
SongAnalyzer.ai
Hidden/internal component:
Hugging Face Space used as an API/backend worker
Heavy model:
runs on ZeroGPU
For developers, this is normal backend composition.
For normal users, it is understandably confusing.
From the user’s point of view:
“I uploaded my song to SongAnalyzer.ai.”
But internally, the website may be doing something like:
“Send this audio file to a Hugging Face ZeroGPU Space for structure analysis.”
If that internal call fails and the website does not handle the error cleanly, the raw Hugging Face traceback can leak into the SongAnalyzer.ai result.
That seems to be what happened here.
Why your own Hugging Face Pro quota may not help
This is the most important point.
Your own Hugging Face Pro account or GPU purchase only helps if the ZeroGPU request is actually authenticated as you.
Hugging Face’s Spaces API documentation says:
“When you authenticate with your token, your account’s GPU quota is consumed. Unauthenticated requests use a shared pool with stricter limits.”
Source:
So there are several possible cases.
Case A: SongAnalyzer.ai calls the Space without a Hugging Face token
SongAnalyzer.ai backend
-> calls Hugging Face Space without auth
-> unauthenticated/shared ZeroGPU quota is used
-> your own Hugging Face Pro quota is not used
In that case, buying Pro on your personal Hugging Face account would not necessarily help.
Case B: SongAnalyzer.ai calls the Space with its own backend token
SongAnalyzer.ai backend
-> calls Hugging Face Space using SongAnalyzer.ai operator’s HF token
-> the operator’s HF quota is used
-> all SongAnalyzer.ai users may share that quota
-> your own Hugging Face Pro quota is not used
This is probably the most likely situation for a normal web app.
If many users are using the same website, that backend quota can run out quickly.
Case C: SongAnalyzer.ai forwards your Hugging Face identity
You
-> SongAnalyzer.ai
-> SongAnalyzer.ai forwards your HF identity/token correctly
-> your own ZeroGPU quota may be used
This is possible, but the website would need to intentionally implement it.
Gradio has documentation about this issue for ZeroGPU Spaces called through clients, including user-identity forwarding using X-IP-Token:
If SongAnalyzer.ai is not doing this, your personal quota probably is not involved.
Case D: auth forwarding breaks or the browser/API path differs
Even if the user is logged in somewhere, the backend API request may not carry the same identity.
A browser request, an embedded Space request, a server-side request, and a Gradio client request can have different authentication behavior.
That means:
“Logged in on one website”
does not automatically mean:
“The Hugging Face ZeroGPU backend call is authenticated as me.”
What ZeroGPU is, and why quota can run out
Hugging Face describes ZeroGPU as shared infrastructure that dynamically allocates and releases NVIDIA H200 GPU capacity for Spaces:
It is not the same thing as a dedicated always-on GPU owned by one website.
The API endpoint docs currently list included daily ZeroGPU quotas like this:
Unauthenticated: 2 minutes
Free account: 3.5 minutes
PRO account: 25 minutes
Team member: 25 minutes
Enterprise: 45 minutes
Source:
The same docs also say that PRO, Team, and Enterprise users can go beyond the included daily quota using pre-paid credits:
So if SongAnalyzer.ai is using one backend Hugging Face account/token for many users, even a PRO quota can be too small for a public website.
For example, if the backend quota is 25 minutes per day and many users upload songs, that quota may be consumed quickly. A song-structure analysis step can be much heavier than simple BPM/key detection.
Why it may work again after about a day
If this is only a daily ZeroGPU quota exhaustion issue, it may start working again after roughly a day.
But the precise wording matters.
It is not necessarily “tomorrow at midnight.”
Hugging Face’s ZeroGPU docs say that the included daily quota resets 24 hours after the first GPU usage:
So a better explanation is:
It may work again after about 24 hours,
depending on when the backend quota window started.
However, that would only be temporary.
If many SongAnalyzer.ai users are sharing the same backend quota, the quota may be exhausted again soon after it resets.
So:
Waiting may temporarily help.
It does not fix the underlying service design.
Who to contact for help
For this specific case, the practical support target is probably SongAnalyzer.ai, not Hugging Face.
Reason:
The visible service is SongAnalyzer.ai.
The failing Hugging Face ZeroGPU call is likely part of SongAnalyzer.ai’s backend.
The account/token/quota being exhausted may belong to SongAnalyzer.ai’s backend path.
Hugging Face can document how ZeroGPU works.
But Hugging Face probably cannot fix a third-party website’s backend choices, such as:
- which Hugging Face token the website uses,
- whether it uses a public/protected/private Space,
- whether it forwards end-user identity,
- whether it has enough credits,
- whether it has a queue,
- whether it catches exceptions cleanly.
So the useful report is not just:
“My Hugging Face Pro does not work.”
It is more like:
“SongAnalyzer.ai appears to be leaking a Hugging Face ZeroGPU quota error from its internal structure-analysis backend. Please check the backend token/quota/credits/auth-forwarding and handle the error cleanly.”
Why this is probably something SongAnalyzer.ai needs to fix
From the end-user perspective, this is a SongAnalyzer.ai service problem.
The user did not intentionally choose to run a Hugging Face Space.
The user used SongAnalyzer.ai and got a Hugging Face ZeroGPU traceback.
A permanent fix probably has to come from the SongAnalyzer.ai operator.
Possible fixes on their side include:
- provision enough paid compute for the expected traffic,
- use a dedicated paid GPU instead of a shared ZeroGPU quota,
- add enough ZeroGPU pre-paid credits if they intentionally use ZeroGPU,
- forward user authentication correctly if they want each user’s HF quota to apply,
- add rate limits,
- add a queue,
- reject audio files that are too long before sending them to GPU,
- show a clear user-facing error when quota is exhausted,
- avoid storing raw Python tracebacks as normal analysis results,
- avoid leaking backend tracebacks into the UI.
A better user-facing error would be something like:
The song-structure analysis backend is temporarily out of GPU quota.
Please try again later.
or:
BPM/key analysis completed, but the structure-analysis step is currently unavailable.
Please try again later.
That would be much clearer than showing:
spaces.zero.gradio.HTMLError
User is running out of daily ZeroGPU quotas
Traceback ...
Why this is confusing for users
This kind of setup is easy to misunderstand.
The visible service may be:
SongAnalyzer.ai
But the actual system may be:
SongAnalyzer.ai frontend
-> SongAnalyzer.ai backend
-> Hugging Face Space API
-> ZeroGPU scheduler
-> model code
If the last part fails, the error message may mention Hugging Face even though the user never intentionally visited Hugging Face.
That is why this looks like:
“Why is Hugging Face involved?”
The answer is probably:
Because SongAnalyzer.ai is using a Hugging Face ZeroGPU-backed component internally.
This does not necessarily mean the user did anything wrong.
It also does not necessarily mean the user’s own Hugging Face account is misconfigured.
Public / protected / private Spaces can make this even harder to see
Hugging Face Spaces support public, protected, and private visibility:
The docs say protected Spaces can keep their source code private on the Hub while the app remains publicly accessible through embed URLs or custom domains:
This matters because the backend Space may not be easy to find.
A website could be using:
public Space
protected Space
private Space called server-side with a token
duplicated Space
custom domain Space
copied Space code
So even if we can find a likely public origin, such as SongFormer, we may not be able to prove the exact backend path from the outside.
In this case, the public SongFormer Space/code is a strong clue, but it is still only a clue.
Similar-case debugging checklist
For future cases, these are signs that a third-party website may be using a Hugging Face Space internally.
1. Look for Hugging Face / Spaces / Gradio strings in the error
Useful clue strings include:
huggingface.co
hf.space
spaces.zero
ZeroGPU
@spaces.GPU
gradio
gradio_client
queue
Client("owner/space")
HTMLError
If a third-party website error contains these strings, it may be using Hugging Face Spaces internally.
2. Look for partial success
If the output contains some successful fields and one failed field, the app may be a pipeline.
For this case, a likely interpretation is:
BPM/key step succeeded
song-structure step failed
That suggests the backend may have multiple components.
3. Match function names against public Spaces
If the traceback shows function names, search those names together with Hugging Face terms.
For example:
process_audio process_and_analyze Hugging Face Space
process_audio music structure Hugging Face
SongFormer process_and_analyze
In this case, the public SongFormer app.py has relevant function names and flow:
Again, that is a clue, not proof that SongAnalyzer.ai directly calls that exact public Space.
4. Check whether the task matches a known public model/Space
The failed field here appears to be song structure analysis.
SongFormer is explicitly a music structure analysis framework:
That makes the connection plausible.
5. Do not assume the visible website owns all compute
Many AI websites are wrappers around one or more backend services.
A visible website can call:
its own server
a Hugging Face Space
a duplicated Space
an Inference Endpoint
a model provider
a queue worker
a cloud function
When one backend layer fails, its error may leak through.
6. Do not assume the end user’s account is the account being limited
The quota usually belongs to the identity used by the backend request.
If a website uses its own Hugging Face token, all users may share the same quota.
If it sends no token, it may use unauthenticated/shared quota.
If it forwards the user identity correctly, then the user’s own quota may apply.
The relevant Hugging Face docs are here:
7. Browser path and API path can differ
A Space or app may work in a browser but fail through an API call, because the browser and API calls may not carry the same authentication state.
That is why a user can be “logged in” somewhere but still hit an unauthenticated or different quota bucket.
8. “Wait 24 hours” may be correct, but incomplete
If the backend quota was exhausted, waiting can help.
But if the service design still routes many users through the same small backend quota, the error can return quickly.
So waiting is a recovery guess, not a permanent fix.
9. Raw traceback display is itself a bug
A raw traceback should not be shown to normal users.
Tracebacks are useful for developers, but they are confusing and sometimes reveal internal implementation details.
The site should catch the error and display a clear message.
Suggested message to SongAnalyzer.ai support/operator
If someone wants to report this to SongAnalyzer.ai, a concise message could be:
Your app appears to be leaking a Hugging Face ZeroGPU traceback into the user-visible song structure result.
The failing step seems to be the structure-analysis step. BPM/key fields appear to be produced, but the structure field contains:
"User is running out of daily ZeroGPU quotas"
If the app is calling a Hugging Face ZeroGPU Space internally, please check whether the backend token/quota is exhausted, whether user identity is being forwarded correctly, whether enough credits/compute are available, and whether quota exhaustion is handled cleanly.
At minimum, please replace the raw traceback with a clear user-facing message.
Plain-English summary
SongAnalyzer.ai is probably using Hugging Face behind the scenes for one of the heavier AI analysis steps.
The error probably does not mean your own Hugging Face account is broken.
It probably means the backend quota used by SongAnalyzer.ai has run out.
It may work again after about 24 hours if this is only a daily quota exhaustion issue.
But if many users share the same backend quota, it can break again.
A permanent fix has to come from the SongAnalyzer.ai operator/support, not from ordinary Hugging Face account troubleshooting by the end user.
References
Original issue:
SongAnalyzer.ai:
SongFormer / likely structure-analysis clue:
Hugging Face / ZeroGPU references:
Embedding / visibility references: