| 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 |
|
|
| |
| @tool |
| def get_weather(city: str) -> str: |
| """A tool that fetches the current weather for a specified city. |
| Args: |
| city: The name of the city (e.g., 'Beijing'). |
| """ |
| try: |
| api_key = "YOUR_OPENWEATHERMAP_API_KEY" |
| url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric" |
| response = requests.get(url) |
| data = response.json() |
| if response.status_code == 200: |
| weather = data['weather'][0]['description'] |
| temperature = data['main']['temp'] |
| return f"The current weather in {city} is {weather} with a temperature of {temperature}°C." |
| else: |
| return f"Error fetching weather data for {city}: {data['message']}" |
| except Exception as e: |
| return f"Error fetching weather data for {city}: {str(e)}" |
|
|
| @tool |
| def translate_text(text: str, source_lang: str, target_lang: str) -> str: |
| """A tool that translates text from one language to another. |
| Args: |
| text: The text to be translated. |
| source_lang: The source language code (e.g., 'en' for English). |
| target_lang: The target language code (e.g., 'zh' for Chinese). |
| """ |
| try: |
| api_key = "YOUR_GOOGLE_TRANSLATE_API_KEY" |
| url = f"https://translation.googleapis.com/language/translate/v2?key={api_key}" |
| data = { |
| "q": text, |
| "source": source_lang, |
| "target": target_lang |
| } |
| response = requests.post(url, json=data) |
| result = response.json() |
| if 'data' in result and 'translations' in result['data']: |
| return result['data']['translations'][0]['translatedText'] |
| else: |
| return f"Error translating text: {result.get('error', {}).get('message', 'Unknown error')}" |
| except Exception as e: |
| return f"Error translating text: {str(e)}" |
|
|
| @tool |
| def read_file(file_path: str) -> str: |
| """A tool that reads the content of a local file. |
| Args: |
| file_path: The path to the file (e.g., 'example.txt'). |
| """ |
| try: |
| with open(file_path, 'r', encoding='utf-8') as file: |
| content = file.read() |
| return content |
| except FileNotFoundError: |
| return f"File not found: {file_path}" |
| except Exception as e: |
| return f"Error reading file {file_path}: {str(e)}" |
|
|
| @tool |
| def summarize_text(text: str, max_length: int = 100) -> str: |
| """A tool that generates a summary of a given text. |
| Args: |
| text: The text to be summarized. |
| max_length: The maximum length of the summary (default is 100). |
| """ |
| try: |
| from transformers import pipeline |
| summarizer = pipeline("summarization") |
| summary = summarizer(text, max_length=max_length, clean_up_tokenization_spaces=True) |
| return summary[0]['summary_text'] |
| except Exception as e: |
| return f"Error summarizing text: {str(e)}" |
|
|
| @tool |
| def calculate_expression(expression: str) -> str: |
| """A tool that evaluates a mathematical expression. |
| Args: |
| expression: The mathematical expression to evaluate (e.g., '2 + 3 * 4'). |
| """ |
| try: |
| result = eval(expression) |
| return f"The result of the expression '{expression}' is {result}." |
| except Exception as e: |
| return f"Error evaluating expression '{expression}': {str(e)}" |
