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harshit-lyzr

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Building Your IELTS Agent with Lyzr Automata: Revolutionizing Exam Preparation

Are you striving to excel in your IELTS exam but finding it challenging to navigate through the study materials? Lyzr IELTS Coaching Agent, powered by the revolutionary Lyzr Automata SDK, is here to streamline your preparation journey. Let's explore how this innovative tool can elevate your IELTS preparation to new heights.

Introducing Lyzr IELTS Coaching Agent
Lyzr IELTS Coaching Agent is a game-changing tool designed to assist students in achieving their desired band scores with ease. Leveraging the power of Lyzr Automata SDK, this agent offers personalized guidance and comprehensive support tailored to the individual needs of each user.
Powered by Lyzr Automata SDK, Lyzr IELTS Coaching Agent delivers a seamless learning experience that adapts to the user's preferences and learning style. The SDK's advanced capabilities enable the agent to generate coherent and contextually relevant responses, ensuring that users receive high-quality guidance consistently.

How It Works
The process is straightforward yet powerful. Users input their chosen topic, and the agent, leveraging Lyzr Automata SDK, provides detailed responses containing valuable insights and strategies. From essay writing tips to speaking fluency techniques, Lyzr IELTS Coaching Agent equips users with the knowledge and skills necessary to excel in every aspect of the exam.

Setting Up the Environment
First, let's set up our development environment by importing the required libraries and configuring Streamlit settings. Importing Lyzr SDK's Chatbot and VoiceBot.We'll also load our OpenAI API key using dotenv for secure access to natural language processing capabilities.

import streamlit as st
from lyzr_automata.ai_models.openai import OpenAIModel
from lyzr_automata import Agent,Task
from lyzr_automata.pipelines.linear_sync_pipeline import LinearSyncPipeline
from PIL import Image
from dotenv import load_dotenv
import os

load_dotenv()
api = os.getenv("OPENAI_API_KEY")
topic = st.chat_input("Enter Topic")
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Initialize OpenAIModel
ensure you have access to the Lyzr Automata SDK and an API key for OpenAI's GPT-4 model. This will enable us to utilize advanced natural language processing capabilities for our IELTS agent.

open_ai_text_completion_model = OpenAIModel(
    api_key=api,
    parameters={
        "model": "gpt-4-turbo-preview",
        "temperature": 0.2,
        "max_tokens": 1500,
    },
)
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Defining the IELTS Agent
Next, we define the persona of our IELTS agent using the Agent class from the Lyzr SDK. This persona embodies the role of an experienced IELTS examiner, capable of providing insightful guidance on various topics related to the exam.

ielts_agent = Agent(
    role="Ielts expert",
    prompt_persona=f"As an examiner of IELTS system, you can suggest an answer about {topic} with more than 250 words and below 300 words regarding to 7.5."
)
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Creating the Task
With the persona in place, we create a task for IELTS study using the Task class. This task specifies the instructions for the agent to generate answers for the user's input topic, ensuring that the response falls within the desired word count range suitable for achieving a band score of 7.5 or above.

ielts_task = Task(
    name="get Ielts study",
    model=open_ai_text_completion_model,
    agent=ielts_agent,
    instructions="Give Answer for IELTS",
)
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Executing the Task

output = LinearSyncPipeline(
    name="Ielts details",
    completion_message="pipeline completed",
    tasks=[
        ielts_task  # Task C
    ],
).run()
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output[0]['task_output']
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Lyzr IELTS Coaching Agent, powered by Lyzr Automata SDK, is a game-changer for anyone preparing for the IELTS exam. With its personalized guidance, seamless integration of technology, and dynamic learning experience, Lyzr IELTS Coaching Agent empowers students to achieve their desired band scores with confidence.
Ready to build your own IELTS Agent Using Lyzr Automata? Dive into the code and start innovating!
For more information explore the website: Lyzr
Voice Chatbot for Restaurant Menu - Github

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