Calling component via gradio python client doesn't work

[pablovela5620]

Loaded as API: http://127.0.0.1:7862/ ✔
/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/utils.py:1097: UserWarning: file() is deprecated and will be removed in a future version. Use handle_file() instead.
warnings.warn(
Traceback (most recent call last):
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/main.py", line 4, in
result = client.predict(
^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 463, in predict
).result()
^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 1485, in result
return super().result(timeout=timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/concurrent/futures/_base.py", line 456, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
raise self.exception
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 1113, in inner
predictions = self.process_predictions(*predictions)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 1278, in process_predictions
predictions = self.download_files(*predictions)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 1291, in download_files
data = utils.traverse(data, self._download_file, utils.is_file_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/utils.py", line 984, in traverse
new_obj.append(traverse(item, func, is_root))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/utils.py", line 975, in traverse
return func(json_obj)
^^^^^^^^^^^^^^
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/gradio_client/client.py", line 1369, in _download_file
response.raise_for_status()
File "/Users/pablovela/0Dev/personal/inference-hf-spaces/.pixi/envs/default/lib/python3.12/site-packages/httpx/_models.py", line 761, in raise_for_status
raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '403 Forbidden' for url 'http://127.0.0.1:7862/file=6f7c8fd3-3c02-4b2b-95c3-d31966b2d4ea/138970045808400/16'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403

I'm guessing its because its providing back a URL from the rerun rrd file that isn't accessible?

with gr.Blocks() as demo:
    with gr.Tab("Streaming"):
        with gr.Row():
            img = gr.Image(interactive=True, label="Image", type="filepath")
            with gr.Tab(label="Settings"):
                with gr.Column():
                    warp_img_btn = gr.Button("Warp Images")
                    num_iters = gr.Radio(
                        choices=[2, 25, 50, 100],
                        value=2,
                        label="Number of iterations",
                        type="value",
                    )
                    cam_direction = gr.Radio(
                        choices=["left", "right"],
                        value="left",
                        label="Camera direction",
                        type="value",
                    )
                    degrees_per_frame = gr.Slider(
                        minimum=0.25,
                        maximum=1.0,
                        step=0.05,
                        value=0.3,
                        label="Degrees per frame",
                    )
            with gr.Tab(label="Outputs"):
                video_output = gr.Video(interactive=False)
                image_files_output = gr.File(interactive=False, file_count="multiple")

    # Rerun 0.16 has issues when embedded in a Gradio tab, so we share a viewer between all the tabs.
    # In 0.17 we can instead scope each viewer to its own tab to clean up these examples further.
    with gr.Row():
        viewer = Rerun(
            streaming=True,
        )

    warp_img_btn.click(
        gradio_warped_image,
        inputs=[img, num_iters, cam_direction, degrees_per_frame],
        outputs=[viewer, video_output, image_files_output],
    )

    gr.Examples(
        [
            [
                "/home/pablo/0Dev/docker/.per/repos/NVS_Solver/example_imgs/single/000001.jpg",
            ],
        ],
        fn=warp_img_btn,
        inputs=[img, num_iters, cam_direction, degrees_per_frame],
        outputs=[viewer, video_output, image_files_output],
    )


if __name__ == "__main__":
    demo.queue().launch(share=True)

This is what the current gradio UI looks like, I'm using yield + generator and I think that's probably part of the issue? if I do the same thing with https://huggingface.co/spaces/pablovela5620/mini-dust3r and it works fine if I run, but this is with gradio_rerun==0.0.1 and is not using yield but returning the rrd file

from gradio_client import Client, file

client = Client("pablovela5620/mini-dust3r")
result = client.predict(
		image_name_list=file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
		api_name="/predict"
)
print(result)

[pablovela5620]

Another example where it fails is the official example https://huggingface.co/spaces/radames/gradio_rerun

from gradio_client import Client, file

client = Client("radames/gradio_rerun")
result = client.predict(
		img=file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
		api_name="/streaming_repeated_blur"
)
print(result)

the version that provides the rrd without yield/streaming works fine

from gradio_client import Client

client = Client("radames/gradio_rerun")
result = client.predict(
		x=5,
		y=5,
		z=5,
		api_name="/create_cube_rrd"
)
print(result)