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Update tools.py

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  1. tools.py +38 -0
tools.py CHANGED
@@ -3,6 +3,7 @@ import requests
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  from markdownify import markdownify
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  from requests.exceptions import RequestException
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  from smolagents import tool
 
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  @tool
@@ -32,3 +33,40 @@ def visit_webpage(url: str) -> str:
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  return f"Error fetching the webpage: {str(e)}"
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  except Exception as e:
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  return f"An unexpected error occurred: {str(e)}"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  from markdownify import markdownify
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  from requests.exceptions import RequestException
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  from smolagents import tool
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+ from huggingface_hub import InferenceClient
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  @tool
 
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  return f"Error fetching the webpage: {str(e)}"
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  except Exception as e:
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  return f"An unexpected error occurred: {str(e)}"
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+
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+ @tool
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+ def analyze_image(url: str, prompt: str) -> str:
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+ """Uses a vision model to identify features in an describe an image.
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+
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+ Args:
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+ url: The URL of the image to analyze
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+ prompt: Specific questions or things you are looking for in the image. Can also specify how to format a response. The model will return a general description if this is blank.
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+
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+ Retruns:
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+ Answers to your question(s) or else a textual description of the image
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+ """
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+
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+ model_id = "Qwen/Qwen2.5-VL-32B-Instruct"
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+ client = InferenceClient()
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+ image_url = "https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-b30968d8aa44"
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+
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+ if prompt is None:
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+ prompt = "Describe the content of the image in detail."
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+
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+ model_prompt = [
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+ {
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+ "role": "user",
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+ "content": [
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+ {"type": "image_url", "image_url": {"url": image_url}},
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+ {"type": "text", "text": prompt}
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+ ]
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+ }
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+ ]
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+
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+ response = client.chat_completion(
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+ model=model_id,
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+ messages=model_prompt,
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+ max_tokens=1000,
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+ temperature=0.7
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+ )
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+ description = response.choices[0].message.content