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Update app.py
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app.py
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@@ -4,7 +4,7 @@ import requests
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import inspect
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import pandas as pd
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from langchain_google_genai import ChatGoogleGenerativeAI
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from tools import InternetSearchTool, WebscraperTool, ExcelTool, WikipediaTool
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from smolagents import CodeAgent, InferenceClientModel
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# (Keep Constants as is)
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@@ -25,23 +25,39 @@ class BasicAgent:
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excel_tool = ExcelTool()
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python_tool = PythonTool()
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wikipedia_tool = WikipediaTool()
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summarize_tool = SummarizeTool()
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# Create agent
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self.agent= CodeAgent(
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tools=[search_tool, webscraper_tool, excel_tool, python_tool, wikipedia_tool
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model=InferenceClientModel(token=os.getenv("HF_TOKEN"), provider="together"),
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add_base_tools=True, # Add any additional base tools
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planning_interval=3, # Enable planning every 3 steps
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max_steps=10
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)
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def __call__(self, question: str) -> str:
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prompt = """You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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QUESTION:
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"""
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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answer = self.agent.run(prompt + question)
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print(type(answer))
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print(f"Agent returning answer: {str(answer)}")
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import inspect
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import pandas as pd
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from langchain_google_genai import ChatGoogleGenerativeAI
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from tools import InternetSearchTool, WebscraperTool, ExcelTool, WikipediaTool
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from smolagents import CodeAgent, InferenceClientModel
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# (Keep Constants as is)
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excel_tool = ExcelTool()
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python_tool = PythonTool()
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wikipedia_tool = WikipediaTool()
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# Create agent
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self.agent= CodeAgent(
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tools=[search_tool, webscraper_tool, excel_tool, python_tool, wikipedia_tool],
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model=InferenceClientModel(token=os.getenv("HF_TOKEN"), provider="together"),
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add_base_tools=True, # Add any additional base tools
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planning_interval=3, # Enable planning every 3 steps
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max_steps=10
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)
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def summarize(self, question: str) -> str:
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prompt = """You are an AI assistant for summarizing tasks. You will receive a long request message, your task is to make it shorter by removing irrelevant details. Do no attempt to find an answer to the request or any part of the request.
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EXAMPLE:
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'Hi, we've been learning about reptiles in biology and I'd like to know more about crocodiles. Can you tell me how many legs an average crocodile has? Please answer only with a number! Thanks in advance!'
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'How many legs does an average crocodile have? Answer with only a number.'
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REQUEST:
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"""
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llm = ChatGoogleGenerativeAI(model="gemini-1.5-flash-latest")
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summary = llm.invoke(prompt+question)
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return summary
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def __call__(self, question: str) -> str:
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prompt = """You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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QUESTION:
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"""
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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if len(question) > 400:
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question = self.summary(question)
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answer = self.agent.run(prompt + question)
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print(type(answer))
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print(f"Agent returning answer: {str(answer)}")
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