InnaV commited on
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6040aba
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1 Parent(s): ce54d5d

Update app.py

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  1. app.py +27 -8
app.py CHANGED
@@ -7,16 +7,35 @@ from tools.final_answer import FinalAnswerTool
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  from Gradio_UI import GradioUI
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- # Below is an example of a tool that does nothing. Amaze us with your creativity!
 
 
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  @tool
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- def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
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- # Keep this format for the tool description / 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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  @tool
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  def get_current_time_in_timezone(timezone: str) -> str:
@@ -51,7 +70,7 @@ 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, get_current_time_in_timezone], # 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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  from Gradio_UI import GradioUI
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+ from sentence_transformers import SentenceTransformer, util
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+ import wikipedia
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+
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  @tool
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+ def find_unexpected_analogy(topic: str) -> str:
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+ """A tool that Finds an unexpected but relevant analogy for a given topic
 
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  Args:
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+ topic: A string that provides text for analogy search
 
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  """
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+ try:
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+ # Get a summary from Wikipedia
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+ summary = wikipedia.summary(topic, sentences=2)
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+
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+ # Pretrained model for embeddings (semantic similarity search)
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+ model = SentenceTransformer('all-MiniLM-L6-v2')
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+ topic_embedding = model.encode(topic, convert_to_tensor=True)
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+
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+ # Potential analogy candidates (could be expanded)
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+ candidate_topics = ["ant colonies", "internet routing", "biological ecosystems", "black holes", "swarm intelligence", "musical composition"]
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+ candidate_embeddings = model.encode(candidate_topics, convert_to_tensor=True)
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+
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+ # Find most unexpected but semantically relevant analogy
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+ similarities = util.pytorch_cos_sim(topic_embedding, candidate_embeddings)
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+ best_index = similarities.argmin().item() # Find the most *distant* but related topic
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+ analogy = candidate_topics[best_index]
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+
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+ return f"For '{topic}', an unexpected analogy is '{analogy}'. Why? {summary}"
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+ except Exception as e:
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+ return f"Error generating analogy: {str(e)}"
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  @tool
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  def get_current_time_in_timezone(timezone: str) -> str:
 
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  agent = CodeAgent(
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  model=model,
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+ tools=[final_answer, get_current_time_in_timezone, find_unexpected_analogy], # 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,