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Update app.py
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app.py
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@@ -8,9 +8,15 @@ import requests
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from typing import List, Dict, Union
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import pandas as pd
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import wikipediaapi
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from typing import Optional
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from termax.agent import Agent # Assuming you're using a specific agent framework
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from termax.tool import google_search # Assuming this is your search tool import
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load_dotenv()
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@@ -41,6 +47,34 @@ class BasicAgent:
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return fixed_answer
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def search_tool(self, prompt: str) -> str:
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"""
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Searches for information using a Gemini-powered agent with Google Search capability.
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from typing import List, Dict, Union
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import pandas as pd
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import wikipediaapi
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#from typing import Optional
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#from termax.agent import Agent # Assuming you're using a specific agent framework
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#from termax.tool import google_search # Assuming this is your search tool import
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain.agents import AgentExecutor, create_tool_calling_agent
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from langchain.tools import Tool
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from langchain import hub
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import google.generativeai as genai # Fallback if needed
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load_dotenv()
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return fixed_answer
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def search_tool(self, prompt: str) -> str:
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# Initialize Gemini model
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llm = ChatGoogleGenerativeAI(model="gemini-pro") # or "gemini-1.5-flash"
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# Define Google Search tool (replace with actual search API)
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def google_search(query: str) -> str:
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# Use SerpAPI, Google Custom Search, etc.
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return f"Search results for: {query}"
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tools = [
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Tool(
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name="google_search",
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func=google_search,
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description="Useful for searching the web."
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)
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]
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# Create agent
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agent = create_tool_calling_agent(llm, tools, prompt_template=hub.pull("hwchase17/openai-tools-agent"))
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agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
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# Run the agent
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response = agent_executor.invoke({"input": prompt})
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return response["output"]
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def search_tool(self, prompt: str) -> str:
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"""
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Searches for information using a Gemini-powered agent with Google Search capability.
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