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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def resolve_gene(query: str) -> dict: | |
| """Return HGNC symbol, Ensembl ID, canonical coords (GRCh37/38), synonyms.""" | |
| def resolve_variant(query: str, assembly: str) -> dict: | |
| """Return rsID, position, liftover if needed, nearest genes.""" | |
| def query_gwas_associations( | |
| gene_id: str | None = None, rsid: str | None = None, | |
| region: tuple | None = None, trait_efo: str | None = None, | |
| pval_max: float = 5e-8 | |
| ) -> list[dict]: | |
| """GWAS Catalog hits with study metadata.""" | |
| def query_finemap_and_ld(rsid: str, ancestry: str) -> dict: | |
| """Credible set, PP, LD partners via OTG + LDlink.""" | |
| def annotate_variant(rsid: str) -> dict: | |
| """VEP consequence, gnomAD AF.""" | |
| def enrich_traits_with_efo(trait_labels: list[str]) -> list[dict]: | |
| """Map to EFO terms and parents for grouping.""" | |
| def collate_and_rank(records: list[dict]) -> dict: | |
| """Merge, score, aggregate, and return final payload with provenance.""" | |
| def get_current_time_in_timezone(timezone: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| timezone: A string representing a valid timezone (e.g., 'America/New_York'). | |
| """ | |
| try: | |
| # Create timezone object | |
| tz = pytz.timezone(timezone) | |
| # Get current time in that timezone | |
| local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") | |
| return f"The current local time in {timezone} is: {local_time}" | |
| except Exception as e: | |
| return f"Error fetching time for timezone '{timezone}': {str(e)}" | |
| final_answer = FinalAnswerTool() | |
| # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: | |
| # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded | |
| custom_role_conversions=None, | |
| ) | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[resolve_gene, resolve_variant, query_gwas_associations, query_finemap_and_ld, annotate_variant, enrich_traits_with_efo, collate_and_rank, final_answer], ## add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |