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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,102 @@ | ||
| from vlmeval.smp import * | ||
| from vlmeval.api.base import BaseAPI | ||
| from time import sleep | ||
| import base64 | ||
|
|
||
| url = "https://openxlab.org.cn/gw/alles-apin-hub/v1/claude/v1/text/chat" | ||
| headers = { | ||
| 'alles-apin-token': '', | ||
| 'Content-Type': 'application/json' | ||
| } | ||
|
|
||
| class Claude_Wrapper(BaseAPI): | ||
|
|
||
| is_api: bool = True | ||
|
|
||
| def __init__(self, | ||
| model: str = 'claude-3-opus-20240229', | ||
| key: str = None, | ||
| retry: int = 10, | ||
| wait: int = 3, | ||
| system_prompt: str = None, | ||
| verbose: bool = True, | ||
| temperature: float = 0, | ||
| max_tokens: int = 1024, | ||
| **kwargs): | ||
|
|
||
| self.model = model | ||
| self.headers = headers | ||
| self.temperature = temperature | ||
| self.max_tokens = max_tokens | ||
| if key is not None: | ||
| self.key = key | ||
| else: | ||
| self.key = os.environ.get('ALLES', '') | ||
| self.headers['alles-apin-token'] = self.key | ||
|
|
||
| super().__init__(retry=retry, wait=wait, verbose=verbose, system_prompt=system_prompt, **kwargs) | ||
|
|
||
| @staticmethod | ||
| def build_msgs(msgs_raw): | ||
| messages = [] | ||
| message = {"role": "user", "content": []} | ||
| for msg in msgs_raw: | ||
| if isimg(msg): | ||
| media_type_map = { | ||
| 'jpg': 'image/jpeg', | ||
| 'jpeg': 'image/jpeg', | ||
| 'png': 'image/png', | ||
| 'gif': 'image/gif', | ||
| 'webp': 'iamge/webp' | ||
| } | ||
| media_type = media_type_map[msg.split('.')[-1].lower()] | ||
| with open(msg, "rb") as file: | ||
| image_data = base64.b64encode(file.read()).decode("utf-8") | ||
| item = { | ||
| 'type': 'image', | ||
| 'source': {'type': 'base64', 'media_type': media_type, 'data': image_data} | ||
| } | ||
|
|
||
| else: | ||
| item = {'type': 'text', 'text': msg} | ||
| message['content'].append(item) | ||
| messages.append(message) | ||
| return messages | ||
|
|
||
| def generate_inner(self, inputs, **kwargs) -> str: | ||
|
|
||
| payload = json.dumps({ | ||
| "model": self.model, | ||
| "max_tokens": self.max_tokens, | ||
| "messages": self.build_msgs(msgs_raw=inputs), | ||
| **kwargs | ||
| }) | ||
| response = requests.request("POST", url, headers=headers, data=payload) | ||
|
|
||
| ret_code = response.status_code | ||
| retry = self.retry | ||
| while ret_code == 429 and retry > 0: | ||
| sleep(15) | ||
| response = requests.request("POST", url, headers=headers, data=payload) | ||
| ret_code = response.status_code | ||
| retry -= 1 | ||
|
|
||
| ret_code = 0 if (200 <= int(ret_code) < 300) else ret_code | ||
| answer = self.fail_msg | ||
|
|
||
| try: | ||
| resp_struct = json.loads(response.text) | ||
| answer = resp_struct['data']['content'][0]['text'].strip() | ||
| except: | ||
| pass | ||
|
|
||
| return ret_code, answer, response | ||
|
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||
|
|
||
| class Claude3V(Claude_Wrapper): | ||
|
|
||
| def generate(self, image_path, prompt, dataset=None): | ||
| return super(Claude_Wrapper, self).generate([image_path, prompt]) | ||
|
|
||
| def interleave_generate(self, ti_list, dataset=None): | ||
| return super(Claude_Wrapper, self).generate(ti_list) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| from vlmeval.smp import * | ||
| from vlmeval.api.base import BaseAPI | ||
|
|
||
| url = "https://b-openapi.basemind.com/openapi/v1/chat/completions" | ||
| headers = { | ||
| 'X-Request-Orgcode': 'companyA', | ||
| 'Authorization': 'Bearer {}', | ||
| 'Content-Type': 'application/json' | ||
| } | ||
|
|
||
| def convert_image_to_base64(image_path): | ||
| with open(image_path, "rb") as image_file: | ||
| encoded_string = base64.b64encode(image_file.read()).decode() | ||
| return encoded_string | ||
|
|
||
| class StepAPI(BaseAPI): | ||
|
|
||
| is_api: bool = True | ||
|
|
||
| def __init__(self, | ||
| model: str = 'stepapi-rankboard', | ||
| retry: int = 10, | ||
| wait: int = 3, | ||
| key: str = None, | ||
| temperature: float = 0, | ||
| max_tokens: int = 300, | ||
| verbose: bool = True, | ||
| system_prompt: str = None, | ||
| **kwargs): | ||
| self.model = model | ||
| self.fail_msg = 'Fail to obtain answer via API.' | ||
| self.headers = headers | ||
| self.temperature = temperature | ||
| self.max_tokens = max_tokens | ||
| self.system_prompt = system_prompt | ||
| if key is not None: | ||
| self.key = key | ||
| else: | ||
| self.key = os.environ.get('STEPAI_API_KEY', '') | ||
| headers['Authorization'] = headers['Authorization'].format(self.key) | ||
|
|
||
| super().__init__(retry=retry, wait=wait, verbose=verbose, system_prompt=system_prompt, **kwargs) | ||
|
|
||
| @staticmethod | ||
| def build_msgs(msgs_raw): | ||
| messages = [] | ||
| message = {"role": "user", "content": []} | ||
|
|
||
| for msg in msgs_raw: | ||
| if isimg(msg): | ||
| image_b64 = convert_image_to_base64(msg) | ||
| message['content'].append({ | ||
| "image_b64": {'b64_json': image_b64}, | ||
| "type": "image_b64" | ||
| }) | ||
| else: | ||
| message['content'].append({ | ||
| 'text': msg, | ||
| "type": 'text' | ||
| }) | ||
|
|
||
| messages.append(message) | ||
| return messages | ||
|
|
||
| def generate_inner(self, inputs, **kwargs) -> str: | ||
| print(inputs, '\n') | ||
| payload = dict( | ||
| model=self.model, | ||
| max_tokens=self.max_tokens, | ||
| temperature=self.temperature, | ||
| messages= self.build_msgs(msgs_raw=inputs), #需要构建message | ||
| **kwargs) | ||
| response = requests.post(url, headers=headers, data=json.dumps(payload)) | ||
| # print('response is here!!:',response.text,'\n') | ||
| ret_code = response.status_code | ||
| # print('ret_code is:',ret_code) | ||
| ret_code = 0 if (200 <= int(ret_code) < 300) else ret_code | ||
|
|
||
| answer = self.fail_msg | ||
| # print('initial answer is',answer) | ||
| try: | ||
| resp_struct = json.loads(response.text) | ||
| # print('resp_struct is',resp_struct) | ||
| answer = resp_struct['choices'][0]['message']['content'].strip() | ||
| # print('answer!!!!!!=========',answer,'\n') | ||
| except: | ||
| pass | ||
| # print('finial answer is',answer) | ||
| return ret_code, answer, response | ||
|
|
||
|
|
||
| class Step1V(StepAPI): | ||
|
|
||
| def generate(self, image_path, prompt, dataset=None): | ||
| return super(StepAPI, self).generate([image_path, prompt]) | ||
|
|
||
| def interleave_generate(self, ti_list, dataset=None): | ||
| return super(StepAPI, self).generate(ti_list) |
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