Dependency Conflict: Gradio and Pydantic in demo-srpgt Environment

[adamshovav]

Description

It seems like the demo-srpgt environment may not fully resolve the dependency conflict between Gradio and Pydantic. While the README provides a solution for this, I encountered issues after successfully building the Gradio demo. Upon running it, any submission triggers a pydantic error.

An error I am now seeing is pydantic.errors.PydanticSchemaGenerationError: Unable to generate pydantic-core schema for <class 'starlette.requests.Request'>. Set `arbitrary_types_allowed=True` in the model_config to ignore this error or implement `__get_pydantic_core_schema__` on your type to fully support it.

Steps to Reproduce
1. Follow the instructions in the README to set up the demo-srpgt environment.
2. Build and run the Gradio demo.
3. Attempt any interaction in the demo.
4. Observe the error related to Pydantic

If there’s an existing solution for this issue that I might have overlooked, please let me know. Alternatively, guidance on resolving this dependency conflict would be greatly appreciated.

[hsiangwei0903]

pydantic==2.9.0
pydantic-core==2.23.2
gradio==4.43.0
works for me

[AnjieCheng]

Could you check if fastapi version 0.112.0 is installed? I will update the dependencies soon.

[harmlessSR]

Could you check if fastapi version 0.112.0 is installed? I will update the dependencies soon.

I met the same problem and yes I see fastapi 0.112.4 in my environment.
Looking forward to the depency update!

pydantic==2.9.0 pydantic-core==2.23.2 gradio==4.43.0 works for me

This works for me too.

[mc451742]

I got the similar question, which produces:

pydantic.errors.PydanticSchemaGenerationError: Unable to generate pydantic-core schema for <class 'starlette.requests.Request'>. Set `arbitrary_types_allowed=True` in the model_config to ignore this error or implement `__get_pydantic_core_schema__` on your type to fully support it.

If you got this error by calling handler(<some type>) within `__get_pydantic_core_schema__` then you likely need to call `handler.generate_schema(<some type>)` since we do not call `__get_pydantic_core_schema__` on `<some type>` otherwise to avoid infinite recursion.

For further information visit https://errors.pydantic.dev/2.10/u/schema-for-unknown-type

Just follow the guidance from README to reproduce the demo of spatialRGPT.

My environment is:
pydantic==2.10.6
pydantic-core==2.27.2
gradio==4.27.0
fastapi==0.115.11

Not sure why it does not work.