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When trying to execute the code
goals = lida.goals(summary, n=2, textgen_config=text_gen)
for goal_dict in goals:
for key, value in goal_dict.items():
print(f"{key}: {value}")
<llmx.generators.text.hf_textgen.HFTextGenerator object at 0x7f3c894ba680>
TypeError Traceback (most recent call last)
Cell In[3], line 1
----> 1 goals = lida.goals(summary, n=2, textgen_config=text_gen)
2 for goal_dict in goals:
3 for key, value in goal_dict.items():
File ~/venv/lib/python3.10/site-packages/lida/components/manager.py:177, in Manager.goals(self, summary, textgen_config, n, persona)
174 if isinstance(persona, str):
175 persona = Persona(persona=persona, rationale="")
--> 177 return self.goal.generate(summary=summary, text_gen=self.text_gen,
178 textgen_config=textgen_config, n=n, persona=persona)
File ~/venv/lib/python3.10/site-packages/lida/components/goal.py:51, in GoalExplorer.generate(self, summary, textgen_config, text_gen, n, persona)
43 user_prompt += f"""\n The generated goals SHOULD BE FOCUSED ON THE INTERESTS AND PERSPECTIVE of a '{persona.persona} persona, who is insterested in complex, insightful goals about the data. \n"""
45 messages = [
46 {"role": "system", "content": SYSTEM_INSTRUCTIONS},
47 {"role": "assistant",
48 "content":
49 f"{user_prompt}\n\n {FORMAT_INSTRUCTIONS} \n\n. The generated {n} goals are: \n "}]
---> 51 result: list[Goal] = text_gen.generate(messages=messages, config=textgen_config)
53 try:
54 json_string = clean_code_snippet(result.text[0]["content"])
File /usr/lib/python3.10/dataclasses.py:1237, in asdict(obj, dict_factory)
1218 """Return the fields of a dataclass instance as a new dictionary mapping
1219 field names to field values.
1220
(...)
1234 tuples, lists, and dicts.
1235 """
1236 if not _is_dataclass_instance(obj):
-> 1237 raise TypeError("asdict() should be called on dataclass instances")
1238 return _asdict_inner(obj, dict_factory)
TypeError: asdict() should be called on dataclass instances
The text was updated successfully, but these errors were encountered:
This all give the same above error , any idea how to resolve this issues , using hugging face model which was shown as dummy example in tutorial notebook
When trying to execute the code
goals = lida.goals(summary, n=2, textgen_config=text_gen)
for goal_dict in goals:
for key, value in goal_dict.items():
print(f"{key}: {value}")
<llmx.generators.text.hf_textgen.HFTextGenerator object at 0x7f3c894ba680>
TypeError Traceback (most recent call last)
Cell In[3], line 1
----> 1 goals = lida.goals(summary, n=2, textgen_config=text_gen)
2 for goal_dict in goals:
3 for key, value in goal_dict.items():
File ~/venv/lib/python3.10/site-packages/lida/components/manager.py:177, in Manager.goals(self, summary, textgen_config, n, persona)
174 if isinstance(persona, str):
175 persona = Persona(persona=persona, rationale="")
--> 177 return self.goal.generate(summary=summary, text_gen=self.text_gen,
178 textgen_config=textgen_config, n=n, persona=persona)
File ~/venv/lib/python3.10/site-packages/lida/components/goal.py:51, in GoalExplorer.generate(self, summary, textgen_config, text_gen, n, persona)
43 user_prompt += f"""\n The generated goals SHOULD BE FOCUSED ON THE INTERESTS AND PERSPECTIVE of a '{persona.persona} persona, who is insterested in complex, insightful goals about the data. \n"""
45 messages = [
46 {"role": "system", "content": SYSTEM_INSTRUCTIONS},
47 {"role": "assistant",
48 "content":
49 f"{user_prompt}\n\n {FORMAT_INSTRUCTIONS} \n\n. The generated {n} goals are: \n "}]
---> 51 result: list[Goal] = text_gen.generate(messages=messages, config=textgen_config)
53 try:
54 json_string = clean_code_snippet(result.text[0]["content"])
File ~/venv/lib/python3.10/site-packages/llmx/generators/text/hf_textgen.py:171, in HFTextGenerator.generate(self, messages, config, **kwargs)
168 config.model = self.model_name
169 print(config)
170 cache_key_params = {
--> 171 **asdict(config),
172 **kwargs,
173 "messages": messages,
174 "dialogue_type": self.dialogue_type}
175 if use_cache:
176 response = cache_request(cache=self.cache, params=(cache_key_params))
File /usr/lib/python3.10/dataclasses.py:1237, in asdict(obj, dict_factory)
1218 """Return the fields of a dataclass instance as a new dictionary mapping
1219 field names to field values.
1220
(...)
1234 tuples, lists, and dicts.
1235 """
1236 if not _is_dataclass_instance(obj):
-> 1237 raise TypeError("asdict() should be called on dataclass instances")
1238 return _asdict_inner(obj, dict_factory)
TypeError: asdict() should be called on dataclass instances
The text was updated successfully, but these errors were encountered: