The provided api code example didn't work!
auniquesun opened this issue · 4 comments
Thanks for sharing the project!
When I try to use the provided api to generate 3d objects related descriptions, the .npy
path is valid on my computer, the example.json
is as follows {"raw":{"a":1,"b":2},"serialized":null}
. I am not clear what the exact format of the json
file, so I just set a very simple one.
from gradio_client import Client
client = Client("http://101.230.144.196/")
result = client.predict(
"Object ID", # str in 'Input Method' Radio component
"b4bbf2116b1a41a5a3b9d3622b07074c", # str in 'Object ID Input' Textbox component
"data/modelnet40_c/data_background_1.npy", # str (filepath or URL to file) in 'Upload Point Cloud File (PLY, NPY, etc.)' File component
"example.json", # str (filepath to JSON file) in 'parameter_15' Chatbot component
fn_index=4
)
print(result)
The server returned the following error.
Loaded as API: http://101.230.144.196/ ✔
Traceback (most recent call last):
File "pointllm.py", line 15, in <module>
result = client.predict(
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/site-packages/gradio_client/client.py", line 392, in predict
return self.submit(*args, api_name=api_name, fn_index=fn_index).result()
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/site-packages/gradio_client/client.py", line 1573, in result
return super().result(timeout=timeout)
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/concurrent/futures/_base.py", line 444, in result
return self.__get_result()
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
raise self._exception
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/concurrent/futures/thread.py", line 57, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/site-packages/gradio_client/client.py", line 1245, in _inner
predictions = _predict(*data)
File "/home/jerry/miniconda3/envs/dassl/lib/python3.8/site-packages/gradio_client/client.py", line 1275, in _predict
raise ValueError(result["error"])
ValueError: None
I am not sure why the error ocurred.
- Can you provide an example json file, including all neccessary keys and values? Since the json file is required in most api call functions.
- Can you provide some insights to help me figure out the error?
Thanks.
Hi,
I am afraid the online demo cannot be used as API (I haven't tried this). You may download the model checkpoints and run the model on your local machine.
As for the return json format, you can check the code of our gradio demo: pointllm/eval/chat_gradio.py
Best,
Runsen
That’s provided by Gradio by default and my demo is not intended to be used as API. You may check Gradio’s doc and I am not sure if it will work or not.
@RunsenXu Thanks for your reply. Before that I thought the doc was written by yourself. Now I get that the doc was generated by the Gradio by default. Thanks.