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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| import os | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| alchemy_api_key = os.environ['ALCHEMY_API_KEY'] | |
| weather_api = os.environ['WEATHER_API'] | |
| def get_gas_fee_estimate(start: str, end: str) -> str: #it's import to specify the return type | |
| #Keep this format for the description / args / args description but feel free to modify the tool | |
| """A tool that estimates the gas fee for a transaction that occurs on the polygon blockchain. | |
| Args: | |
| start: A string representing a valid wallet address (e.g., 0xfe3b557e8fb62b89f4916b721be55ceb828dbd73) | |
| end: A second string representing a valid wallet address | |
| """ | |
| url = f"https://polygon-mainnet.g.alchemy.com/v2/:{alchemy_api_key}" | |
| payload = { "0": { | |
| "from": {start}, | |
| "to": {end}, | |
| "value": "0x1" | |
| } } | |
| headers = {"Content-Type": "application/json"} | |
| try: | |
| response = requests.post(url, json=payload, headers=headers) | |
| return f"The estimated gas fee is {response['result']}" | |
| except error: | |
| return f"Error trying to process given wallet addresses {start} and/or {end}" | |
| def get_asset_price(asset: str, base_curr: str) -> str: | |
| """A tool that gets the current price of a given digital asset. | |
| Args: | |
| asset: A string representing a valid digital asset name (e.g., ethereum). | |
| base_curr: A string that represents a valid base currency (e.g., usd). | |
| """ | |
| url = "https://api.coingecko.com/api/v3/simple/price" | |
| params = { | |
| "ids": asset, | |
| "vs_currencies": base_curr | |
| } | |
| response = requests.get(url, params=params) | |
| if response.status_code == 200: | |
| data = response.json() | |
| price = data[asset][base_curr] | |
| return f"Current {asset} price: ${price}" | |
| else: | |
| return f"Error: {response.status_code}, {response.text}" | |
| def get_weather_weatherapi(city: str, state: str) -> str: | |
| """A tool that gets the current weather. | |
| Args: | |
| city: A string that represents a valid city name (e.g., San Diego). | |
| state: A String that represents a valid state name (e.g., California). | |
| """ | |
| api_key = weather_api | |
| location = f"{city},{state}" | |
| url = f"http://api.weatherapi.com/v1/current.json" | |
| params = { | |
| "key": api_key, | |
| "q": location | |
| } | |
| try: | |
| response = requests.get(url, params=params) | |
| data = response.json() | |
| if response.status_code != 200: | |
| return f"API Error: {data.get('error', {}).get('message', 'Unknown error')}" | |
| temp = data["current"]["temp_f"] | |
| condition = data["current"]["condition"]["text"] | |
| name = data["location"]["name"] | |
| region = data["location"]["region"] | |
| return f"The current weather in {name}, {region} is {temp}°F with {condition}." | |
| except Exception as e: | |
| return f"Error: {e}" | |
| 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=[get_current_time_in_timezone,get_weather_weatherapi, get_asset_price, DuckDuckGoSearchTool(), 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() |