| from vlmeval.smp import * |
| from vlmeval.api.base import BaseAPI |
| from time import sleep |
| import mimetypes |
|
|
|
|
| class Reka_Wrapper(BaseAPI): |
|
|
| is_api: bool = True |
| INTERLEAVE: bool = False |
|
|
| def __init__(self, |
| model: str = 'reka-flash-20240226', |
| key: str = None, |
| retry: int = 10, |
| system_prompt: str = None, |
| verbose: bool = True, |
| temperature: float = 0, |
| max_tokens: int = 1024, |
| **kwargs): |
|
|
| try: |
| import reka |
| except ImportError: |
| raise ImportError('Please install reka by running "pip install reka-api"') |
|
|
| self.model = model |
| default_kwargs = dict(temperature=temperature, request_output_len=max_tokens) |
| default_kwargs.update(kwargs) |
| self.kwargs = default_kwargs |
| if key is not None: |
| self.key = key |
| else: |
| self.key = os.environ.get('REKA_API_KEY', '') |
| super().__init__(retry=retry, verbose=verbose, system_prompt=system_prompt, **kwargs) |
|
|
| def generate_inner(self, inputs, **kwargs) -> str: |
| import reka |
| reka.API_KEY = self.key |
| dataset = kwargs.pop('dataset', None) |
| prompt, image_path = self.message_to_promptimg(inputs, dataset=dataset) |
| image_b64 = encode_image_file_to_base64(image_path) |
|
|
| response = reka.chat( |
| model_name=self.model, |
| human=prompt, |
| media_url=f'data:image/jpeg;base64,{image_b64}', |
| **self.kwargs) |
|
|
| try: |
| return 0, response['text'], response |
| except Exception as err: |
| return -1, self.fail_msg + str(err), response |
|
|
|
|
| class Reka(Reka_Wrapper): |
|
|
| def generate(self, message, dataset=None): |
| return super(Reka_Wrapper, self).generate(message) |
|
|
