Spaces:
Runtime error
Runtime error
from tinytroupe.enrichment import logger | |
from tinytroupe.utils import JsonSerializableRegistry | |
from tinytroupe import openai_utils | |
import tinytroupe.utils as utils | |
class TinyEnricher(JsonSerializableRegistry): | |
def __init__(self, use_past_results_in_context=False) -> None: | |
self.use_past_results_in_context = use_past_results_in_context | |
self.context_cache = [] | |
def enrich_content(self, requirements: str, content:str, content_type:str =None, context_info:str ="", context_cache:list=None, verbose:bool=False): | |
rendering_configs = {"requirements": requirements, | |
"content": content, | |
"content_type": content_type, | |
"context_info": context_info, | |
"context_cache": context_cache} | |
messages = utils.compose_initial_LLM_messages_with_templates("enricher.system.mustache", "enricher.user.mustache", | |
base_module_folder = "enrichment", | |
rendering_configs=rendering_configs) | |
next_message = openai_utils.client().send_message(messages, temperature=1.0, frequency_penalty=0.0, presence_penalty=0.0) | |
debug_msg = f"Enrichment result message: {next_message}" | |
logger.debug(debug_msg) | |
if verbose: | |
print(debug_msg) | |
if next_message is not None: | |
result = utils.extract_code_block(next_message["content"]) | |
else: | |
result = None | |
return result | |