Hello,
First at all thank you authors for your efforts to build this course.
I faced with an issue during work with some lessons - all exaples in Jupyter playbooks with google API iteraction (see call_LMM() function) fails with following error:
---------------------------------------------------------------------------
ParseError Traceback (most recent call last)
File /usr/local/lib/python3.11/site-packages/google/protobuf/json_format.py:529, in _Parser._ConvertFieldValuePair(self, js, message, path)
528 continue
--> 529 raise ParseError(
530 ('Message type "{0}" has no field named "{1}" at "{2}".\n'
531 ' Available Fields(except extensions): "{3}"').format(
532 message_descriptor.full_name, name, path,
533 [f.json_name for f in message_descriptor.fields]))
534 if name in names:
ParseError: Message type "google.ai.generativelanguage.v1beta.GenerateContentResponse" has no field named "usageMetadata" at "GenerateContentResponse".
Available Fields(except extensions): "['candidates', 'promptFeedback']"
The above exception was the direct cause of the following exception:
ParseError Traceback (most recent call last)
File /usr/local/lib/python3.11/site-packages/google/generativeai/types/generation_types.py:408, in rewrite_stream_error()
407 try:
--> 408 yield
409 except (google.protobuf.json_format.ParseError, AttributeError) as e:
File /usr/local/lib/python3.11/site-packages/google/generativeai/types/generation_types.py:451, in GenerateContentResponse.from_iterator(cls, iterator)
450 with rewrite_stream_error():
--> 451 response = next(iterator)
453 return cls(
454 done=False,
455 iterator=iterator,
456 result=response,
457 )
File /usr/local/lib/python3.11/site-packages/google/api_core/rest_streaming.py:116, in ResponseIterator.__next__(self)
115 raise e
--> 116 return self._grab()
File /usr/local/lib/python3.11/site-packages/google/api_core/rest_streaming.py:121, in ResponseIterator._grab(self)
120 if issubclass(self._response_message_cls, proto.Message):
--> 121 return self._response_message_cls.from_json(self._ready_objs.popleft())
122 elif issubclass(self._response_message_cls, google.protobuf.message.Message):
File /usr/local/lib/python3.11/site-packages/proto/message.py:428, in MessageMeta.from_json(cls, payload, ignore_unknown_fields)
427 instance = cls()
--> 428 Parse(payload, instance._pb, ignore_unknown_fields=ignore_unknown_fields)
429 return instance
File /usr/local/lib/python3.11/site-packages/google/protobuf/json_format.py:421, in Parse(text, message, ignore_unknown_fields, descriptor_pool, max_recursion_depth)
420 raise ParseError('Failed to load JSON: {0}.'.format(str(e))) from e
--> 421 return ParseDict(js, message, ignore_unknown_fields, descriptor_pool,
422 max_recursion_depth)
File /usr/local/lib/python3.11/site-packages/google/protobuf/json_format.py:446, in ParseDict(js_dict, message, ignore_unknown_fields, descriptor_pool, max_recursion_depth)
445 parser = _Parser(ignore_unknown_fields, descriptor_pool, max_recursion_depth)
--> 446 parser.ConvertMessage(js_dict, message, '')
447 return message
File /usr/local/lib/python3.11/site-packages/google/protobuf/json_format.py:487, in _Parser.ConvertMessage(self, value, message, path)
486 else:
--> 487 self._ConvertFieldValuePair(value, message, path)
488 self.recursion_depth -= 1
File /usr/local/lib/python3.11/site-packages/google/protobuf/json_format.py:616, in _Parser._ConvertFieldValuePair(self, js, message, path)
615 else:
--> 616 raise ParseError(str(e)) from e
617 except ValueError as e:
ParseError: Message type "google.ai.generativelanguage.v1beta.GenerateContentResponse" has no field named "usageMetadata" at "GenerateContentResponse".
Available Fields(except extensions): "['candidates', 'promptFeedback']"
During handling of the above exception, another exception occurred:
BadRequest Traceback (most recent call last)
Cell In[5], line 1
----> 1 call_LMM("invoice.png",
2 """Identify items on the invoice, Make sure you output
3 JSON with quantity, description, unit price and ammount.""")
Cell In[3], line 13, in call_LMM(image_path, prompt, plain_text)
10 img = PIL.Image.open(image_path)
12 model = genai.GenerativeModel("gemini-1.5-flash")
---> 13 response = model.generate_content([prompt, img], stream=True)
14 response.resolve()
16 if(plain_text):
File /usr/local/lib/python3.11/site-packages/google/generativeai/generative_models.py:260, in GenerativeModel.generate_content(self, contents, generation_config, safety_settings, stream, tools, tool_config, request_options)
255 with generation_types.rewrite_stream_error():
256 iterator = self._client.stream_generate_content(
257 request,
258 **request_options,
259 )
--> 260 return generation_types.GenerateContentResponse.from_iterator(iterator)
261 else:
262 response = self._client.generate_content(
263 request,
264 **request_options,
265 )
File /usr/local/lib/python3.11/site-packages/google/generativeai/types/generation_types.py:450, in GenerateContentResponse.from_iterator(cls, iterator)
447 @classmethod
448 def from_iterator(cls, iterator: Iterable[glm.GenerateContentResponse]):
449 iterator = iter(iterator)
--> 450 with rewrite_stream_error():
451 response = next(iterator)
453 return cls(
454 done=False,
455 iterator=iterator,
456 result=response,
457 )
File /usr/local/lib/python3.11/contextlib.py:158, in _GeneratorContextManager.__exit__(self, typ, value, traceback)
156 value = typ()
157 try:
--> 158 self.gen.throw(typ, value, traceback)
159 except StopIteration as exc:
160 # Suppress StopIteration *unless* it's the same exception that
161 # was passed to throw(). This prevents a StopIteration
162 # raised inside the "with" statement from being suppressed.
163 return exc is not value
File /usr/local/lib/python3.11/site-packages/google/generativeai/types/generation_types.py:410, in rewrite_stream_error()
408 yield
409 except (google.protobuf.json_format.ParseError, AttributeError) as e:
--> 410 raise google.api_core.exceptions.BadRequest(
411 "Unknown error trying to retrieve streaming response. "
412 "Please retry with `stream=False` for more details."
413 )
BadRequest: 400 Unknown error trying to retrieve streaming response. Please retry with `stream=False` for more details.
Can someone fix this?
Thanks,
