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Update app.py
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app.py
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@@ -1,3 +1,4 @@
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try:
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from smolagents import InferenceClientModel as ModelClass
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except ImportError:
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except ImportError:
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from smolagents import HfEngine as ModelClass
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from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Weather search tool using DuckDuckGo
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@@ -29,20 +25,13 @@ def get_weather_info(city: str) -> str:
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A string containing weather information for the specified city
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"""
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try:
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# Initialize DuckDuckGo search tool
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search_tool = DuckDuckGoSearchTool()
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# Create weather-specific search query
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search_query = f"current weather {city} temperature conditions forecast"
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# Perform search
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search_results = search_tool(search_query)
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# Extract weather information from results
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if search_results and len(search_results) > 0:
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# Combine relevant snippets
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weather_info = f"Weather information for {city}:\n"
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for i, result in enumerate(search_results[:3]):
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if 'snippet' in result:
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weather_info += f"\n{i+1}. {result['snippet']}"
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return weather_info
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@@ -59,9 +48,7 @@ def get_current_time_in_timezone(timezone: str) -> str:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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# Initialize model
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model = ModelClass(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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#
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#
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# Launch Gradio UI
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool
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try:
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from smolagents import InferenceClientModel as ModelClass
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except ImportError:
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except ImportError:
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from smolagents import HfEngine as ModelClass
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import datetime
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Weather search tool using DuckDuckGo
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A string containing weather information for the specified city
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"""
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try:
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search_tool = DuckDuckGoSearchTool()
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search_query = f"current weather {city} temperature conditions forecast"
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search_results = search_tool(search_query)
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if search_results and len(search_results) > 0:
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weather_info = f"Weather information for {city}:\n"
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for i, result in enumerate(search_results[:3]):
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if 'snippet' in result:
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weather_info += f"\n{i+1}. {result['snippet']}"
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return weather_info
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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# Initialize model
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model = ModelClass(
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Handle prompt templates
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try:
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# Try to load custom prompts
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Ensure all required keys are present
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if hasattr(CodeAgent, 'DEFAULT_PROMPTS'):
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for key in CodeAgent.DEFAULT_PROMPTS:
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if key not in prompt_templates:
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prompt_templates[key] = CodeAgent.DEFAULT_PROMPTS[key]
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# Create agent with custom prompts
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agent = CodeAgent(
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model=model,
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tools=[final_answer, get_weather_info, get_current_time_in_timezone, image_generation_tool],
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max_steps=6,
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verbosity_level=1,
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prompt_templates=prompt_templates
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)
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except Exception as e:
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print(f"Error loading custom prompts: {e}")
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print("Using default prompts instead")
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# Create agent without custom prompts
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agent = CodeAgent(
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model=model,
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tools=[get_weather_info, get_current_time_in_timezone, image_generation_tool, final_answer],
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max_steps=6,
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verbosity_level=1
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)
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# Launch Gradio UI
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GradioUI(agent).launch()
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