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Update app.py
Browse files
app.py
CHANGED
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@@ -32,18 +32,51 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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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model = HfApiModel(
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)
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final_answer = FinalAnswerTool()
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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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@@ -52,7 +85,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[final_answer,
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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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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@tool
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def duckduckgo_search(query: str) -> str:
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"""Searches DuckDuckGo for a given query and returns the top result.
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Args:
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query: The search query string.
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Returns:
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A short summary with the top DuckDuckGo result.
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"""
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search_tool = DuckDuckGoSearchTool()
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results = search_tool.run(query)
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if results:
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return f"Top search result: {results[0]['title']} - {results[0]['link']}"
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else:
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return "No results found."
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@tool
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def analyze_sentiment(text: str) -> str:
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"""Analyzes the sentiment of a given text (Positive/Negative/Neutral).
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Args:
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text: The input text to analyze.
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Returns:
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A string indicating the sentiment (Positive, Negative, or Neutral).
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"""
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# Simple sentiment analysis using keyword matching
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text_lower = text.lower()
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if any(word in text_lower for word in ["good", "great", "awesome", "fantastic", "love", "happy"]):
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return "Sentiment: Positive"
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elif any(word in text_lower for word in ["bad", "terrible", "awful", "hate", "angry", "sad"]):
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return "Sentiment: Negative"
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else:
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return "Sentiment: Neutral"
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final_answer = FinalAnswerTool()
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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',
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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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agent = CodeAgent(
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model=model,
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tools=[final_answer,duckduckgo_search,image_generation_tool,analyze_sentiment], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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