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Update app.py
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app.py
CHANGED
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import gradio as gr
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import os
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from groq import Groq
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from crewai import Agent, Task, Crew, Process
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# Initialize the GROQ
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max_tokens=max_tokens,
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return chat_completion.choices[0].message.content
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# Custom agent class using GROQ
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class GroqAgent(Agent):
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def execute_task(self, task):
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prompt = f"""
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You are a {self.role}.
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Your goal is: {self.goal}
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Your task is: {task.description}
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# Create agents
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researcher = GroqAgent(
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role='Senior Researcher',
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goal='Conduct thorough research on given topics',
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backstory='You are an experienced researcher with a keen eye for detail and the ability to find relevant information quickly.'
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)
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writer =
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editor =
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def create_crew(query):
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gr.Slider(minimum=100, maximum=1000, value=500, step=50, label="Max Tokens")
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],
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outputs=gr.Textbox(lines=10, label="AI Agent Response"),
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title="CrewAI-powered Chatbot using GROQ",
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description="Enter a query and get a researched, written, and edited response using CrewAI
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)
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iface.launch()
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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_groq import ChatGroq
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from langchain.schema import HumanMessage
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# Initialize the GROQ language model
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groq_llm = ChatGroq(
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groq_api_key=os.environ["GROQ_API_KEY"],
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model_name="mixtral-8x7b-32768"
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)
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# Create agents
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def create_agent(role, goal, backstory):
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return Agent(
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role=role,
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goal=goal,
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backstory=backstory,
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verbose=True,
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allow_delegation=False,
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llm=groq_llm
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)
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researcher = create_agent(
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'Senior Researcher',
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'Conduct thorough research on given topics',
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'You are an experienced researcher with a keen eye for detail and the ability to find relevant information quickly.'
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)
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writer = create_agent(
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'Content Writer',
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'Create engaging and informative content based on research',
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'You are a skilled writer capable of turning complex information into easily understandable and engaging content.'
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)
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editor = create_agent(
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'Editor',
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'Refine and improve the written content',
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'You are a meticulous editor with a strong command of language and an eye for clarity and coherence.'
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)
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def create_crew(query):
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gr.Slider(minimum=100, maximum=1000, value=500, step=50, label="Max Tokens")
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],
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outputs=gr.Textbox(lines=10, label="AI Agent Response"),
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title="CrewAI-powered Chatbot using GROQ and LangChain",
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description="Enter a query and get a researched, written, and edited response using CrewAI, GROQ API, and LangChain."
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)
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iface.launch()
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