Spaces:
Running
on
Zero
Running
on
Zero
ai-forever
commited on
Commit
•
cc516fa
1
Parent(s):
4535fc2
add max_attempts
Browse files- src/gigachat.py +27 -13
src/gigachat.py
CHANGED
@@ -57,7 +57,7 @@ def check_auth_token(token_data: Dict[str, Any]) -> bool:
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token_data: Optional[Dict[str, Any]] = None
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-
def
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prompt: str,
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model: str,
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timeout: int = 120,
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@@ -65,6 +65,7 @@ def get_response(
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fuse_key_word: Optional[str] = None,
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use_giga_censor: bool = False,
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max_tokens: int = 128,
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) -> requests.Response:
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"""
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Send a text generation request to the API.
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@@ -119,13 +120,24 @@ def get_response(
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'Accept': 'application/json',
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'Authorization': f'Bearer {token_data["access_token"]}'
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}
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-
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-
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def giga_generate(
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prompt: str,
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model_version: str = "GigaChat-Max",
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-
max_tokens: int = 128
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) -> str:
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"""
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Generate text using the GigaChat model.
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@@ -138,17 +150,19 @@ def giga_generate(
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Returns:
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str: Generated text.
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"""
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-
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prompt,
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model_version,
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use_giga_censor=False,
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max_tokens=max_tokens,
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)
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-
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-
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-
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-
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-
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-
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-
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-
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token_data: Optional[Dict[str, Any]] = None
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+
def get_response_json(
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prompt: str,
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model: str,
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timeout: int = 120,
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fuse_key_word: Optional[str] = None,
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use_giga_censor: bool = False,
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max_tokens: int = 128,
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+
max_attempts: int = 5,
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) -> requests.Response:
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"""
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Send a text generation request to the API.
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'Accept': 'application/json',
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'Authorization': f'Bearer {token_data["access_token"]}'
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}
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+
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+
attempt_num = 0
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while attempt_num < max_attempts:
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try:
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response = requests.post(url, headers=headers, data=payload, timeout=timeout)
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response_dict = response.json()
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except:
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time.sleep(5)
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attempt_num += 1
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continue
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return response_dict
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def giga_generate(
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prompt: str,
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model_version: str = "GigaChat-Max",
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max_tokens: int = 128,
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max_attempts: int = 5
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) -> str:
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"""
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Generate text using the GigaChat model.
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Returns:
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str: Generated text.
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"""
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response_dict = get_response_json(
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prompt,
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model_version,
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use_giga_censor=False,
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max_tokens=max_tokens,
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+
max_attempts=max_attempts,
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)
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try:
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if response_dict['choices'][0]['finish_reason'] == 'blacklist':
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print('GigaCensor triggered!')
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return 'Censored Text'
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else:
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response_str = response_dict['choices'][0]['message']['content']
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return response_str
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except:
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return prompt
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