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Create app.py
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app.py
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import gradio as gr
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import os
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from crewai import Agent, Task, Crew, Process
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from langchain.tools import DuckDuckGoSearchRun
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from langchain.agents import load_tools
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from langchain_openai import ChatOpenAI
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from langchain.llms import ollama
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from openai import OpenAI
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from langchain_google_genai import ChatGoogleGenerativeAI
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from crypto_info import CryptoTools
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import gradio as gr
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# Setting up the environment variable for the Google API key
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api_gemini = 'AIzaSyB4feCeVxvjfd6a6L1jtaV_NHUMSh0MGQk'
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os.environ["api_gemini"] = api_gemini
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# Function to run the Crew AI logic
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def run_crew_ai(query):
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# Initialize the ChatGoogleGenerativeAI model with verbose set to False
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llm2 = ChatGoogleGenerativeAI(
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model="gemini-pro", verbose=False, temperature=0.1, google_api_key=api_gemini
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)
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# Initialize tools
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search_tool = DuckDuckGoSearchRun()
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crypto_tool = CryptoTools()
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human_tools = load_tools(["human"])
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# Define Agents with verbose set to False
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researcher = Agent(
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role='Researcher',
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goal='Identify new and relevant cryptocurrencies based on user criteria using the internet tool',
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tools=[search_tool],
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verbose=False,
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allow_delegation=False,
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llm=llm2
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)
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info_gatherer = Agent(
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role='Information Gatherer',
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goal='Collect detailed information about the identified cryptocurrency using the search tool.',
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tools=[search_tool],
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verbose=False,
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allow_delegation=False,
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llm=llm2
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)
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formatter = Agent(
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role='Formatter',
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goal='Structure all gathered information into a clear, concise format.',
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verbose=False,
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allow_delegation=False,
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llm=llm2
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)
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# Define Tasks
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research_task = Task(
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description=f'Search the internet for a cryptocurrency that matches the user\'s prompt. Here is the prompt: "{query}"',
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agent=researcher
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)
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gather_task = Task(
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description='Gather all relevant information about the identified cryptocurrency including a summary, todays price, todays market capilization,offical URL.',
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agent=info_gatherer
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)
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format_task = Task(
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description='Structure the gathered information in a list structure with all the relevant details neat and user friendly',
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agent=formatter
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)
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# Define and run the Crew
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crew = Crew(
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agents=[researcher, info_gatherer, formatter],
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tasks=[research_task, gather_task, format_task],
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process=Process.sequential,
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verbose=0 # Minimize verbose output
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)
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result = crew.kickoff()
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return result
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# Gradio Interface Setup
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def gradio_interface(query):
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return run_crew_ai(query)
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# Create a Gradio interface with an input textbox and output text
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interface = gr.Interface(
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fn=gradio_interface,
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inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your query here..."),
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outputs="text",
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title="Crew AI Cryptocurrency Researcher",
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description="Enter a query to research cryptocurrencies using Crew AI."
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)
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# Launch the Gradio interface
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interface.launch()
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