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Update generate_completion_from_local_llm return type #17

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Update generate_completion_from_local_llm return type #17

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8 changes: 2 additions & 6 deletions llm_aided_ocr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -346,7 +346,7 @@ async def generate_completion_from_openai(prompt: str, max_tokens: int = 5000) -
logging.error(f"An error occurred while requesting from OpenAI API: {e}")
return None

async def generate_completion_from_local_llm(llm_model_name: str, input_prompt: str, number_of_tokens_to_generate: int = 100, temperature: float = 0.7, grammar_file_string: str = None):
async def generate_completion_from_local_llm(llm_model_name: str, input_prompt: str, number_of_tokens_to_generate: int = 100, temperature: float = 0.7, grammar_file_string: str = None) -> Optional[str]:
logging.info(f"Starting text completion using model: '{llm_model_name}' for input prompt: '{input_prompt}'")
llm = load_model(llm_model_name)
prompt_tokens = estimate_tokens(input_prompt, llm_model_name)
Expand Down Expand Up @@ -396,11 +396,7 @@ async def generate_completion_from_local_llm(llm_model_name: str, input_prompt:
finish_reason = str(output['choices'][0]['finish_reason'])
llm_model_usage_json = json.dumps(output['usage'])
logging.info(f"Completed text completion in {output['usage']['total_time']:.2f} seconds. Beginning of generated text: \n'{generated_text[:150]}'...")
return {
"generated_text": generated_text,
"finish_reason": finish_reason,
"llm_model_usage_json": llm_model_usage_json
}
return generated_text

# Image Processing Functions
def preprocess_image(image):
Expand Down