Update app.py
#248
by
pandoucha
- opened
app.py
CHANGED
@@ -1,69 +1,38 @@
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import
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import
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import
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import yaml
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from tools.final_answer import FinalAnswerTool
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from
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#
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def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
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#Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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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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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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# 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:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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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',# it is possible that this model may be overloaded
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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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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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# app.py
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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import gradio as gr
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import os
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# Load token from environment variable
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hf_token = os.getenv("HF_TOKEN")
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if not hf_token:
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raise ValueError("HF_TOKEN not set in environment variables")
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# Initialize the model with explicit model ID and token
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model = HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct", token=hf_token)
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# Initialize the agent
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agent = CodeAgent(
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tools=[DuckDuckGoSearchTool()],
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model=model,
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add_base_tools=True
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def find_lowest_price(product):
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task = f"Search for the product '{product}' on Tunisian websites (domain .tn) and find the lowest price in TND."
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try:
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result = agent.run(task)
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return result
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except Exception as e:
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return f"Error: {str(e)}"
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# Gradio interface
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interface = gr.Interface(
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fn=find_lowest_price,
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inputs=gr.Textbox(label="Enter the product to search for", placeholder="e.g., olive oil"),
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outputs=gr.Textbox(label="Lowest Price Result"),
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title="Tunisian Product Price Finder",
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description="Enter a product name to find its lowest price on Tunisian websites."
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)
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interface.launch(server_name="0.0.0.0", server_port=7860)
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