Issue appling for jobs in windows

[victordp86]

I have serveral issues when I use the app.

Classify Result: None
Tipo de Classify Result: <class 'NoneType'>
Traceback (most recent call last):
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\main.py", line 17, in
bot.run(job_title)
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\src\graph.py", line 206, in run
state = self.graph.invoke({"job_title": job_title})
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\pregel_init_.py", line 1617, in invoke
for chunk in self.stream(
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\pregel_init_.py", line 1303, in stream
panic_or_proceed(all_futures, loop.step)
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\pregel_init.py", line 1733, in _panic_or_proceed
raise exc
File "C:\Users\user\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\pregel\executor.py", line 59, in done
task.result()
File "C:\Python312\Lib\concurrent\futures_base.py", line 449, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "C:\Python312\Lib\concurrent\futures_base.py", line 401, in __get_result
raise self.exception
File "C:\Python312\Lib\concurrent\futures\thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Mb3-vdonet\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\pregel\retry.py", line 26, in run_with_retry
task.proc.invoke(task.input, task.config)
File "C:\Users\Mb3-vdonet\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langchain_core\runnables\base.py", line 2876, in invoke
input = context.run(step.invoke, input, config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Mb3-vdonet\proyectos\upwork-auto-jobs-applier-using-AI\venv\Lib\site-packages\langgraph\utils.py", line 102, in invoke
ret = context.run(self.func, input, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Mb3-vdonet\proyectos\upwork-auto-jobs-applier-using-AI\src\graph.py", line 76, in classify_scraped_jobs
matches = json.loads(classify_result, strict=False)["matches"]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Python312\Lib\json_init.py", line 339, in loads
raise TypeError(f'the JSON object must be str, bytes or bytearray, '
TypeError: the JSON object must be str, bytes or bytearray, not NoneType

[kaymen99]

It looks like the issue is that the model is returning a None value instead of a valid JSON object, which is causing the graph to break. Could you please let me know which LLM model you're using?

I am using gemini-1.5-pro for the classification task, and the code works fine. Sometime the Groq llama3 models fail to provide a valid JSON output.