help me to integrate this open-source artificial intelligence tool :

Multimodal Feature Extraction - tensorflow_addons
Text-to-Image - cogView
Image-to-Text - tensor2tensor
Text-to-Video - youtube-dl
Visual Question Answering - Pythia
Document Question Answering - DrQA
Graph Machine Learning - NetworkX
Computer Vision - OpenCV
Depth Estimation - TensorFlow Hub
Image Classification - scikit-learn
Object Detection - YOLOv3
Image Segmentation - SegNet
Image-to-Image - Pix2Pix
Unconditional Image Generation - BigGAN
Video Classification - Keras Video
Zero-Shot Image Classification - torchspark
Natural Language Processing - SpaCy
Text Classification - textblob
Token Classification - flair
Table Question Answering - Tabula
Question Answering - SQuAD
Zero-Shot Classification - torchspark
Translation - transformer
Summarization - gensim
Conversational - Rasa
Text Generation - GPT-2
Text2Text Generation - tensor2tensor
Fill-Mask - BERT
Sentence Similarity - sentence-transformers
Audio -librosa
Text-to-Speech - tensorflow_tts
Automatic Speech Recognition - speech_recognition
Audio-to-Audio - Magenta
Audio Classification - joblib
Voice Activity Detection - webrtcvad
Tabular - pandas
Tabular Classification - scikit-learn
Tabular Regression- scikit-learn
Reinforcement Learning - Keras RL
Robotics - ROS


integrate in this script of trading project and strategy :

import threading
from tkinter import Tk, Label, Button, Entry, font
from autogpt.agent import Agent
from autogpt.commands.command import CommandRegistry
from autogpt.config import Config, check_openai_api_key
from autogpt.configurator import create_config
from autogpt.logs import logger
from autogpt.memory.vector import get_memory
from autogpt.plugins import scan_plugins
from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config
from autogpt.utils import (
    get_current_git_branch,
    get_latest_bulletin,
    get_legal_warning,
    markdown_to_ansi_style,
)
from autogpt.workspace import Workspace
from scripts.install_plugin_deps import install_plugin_dependencies

from src.data_collection import collect_data
from src.data_processing import process_data
from src.model_training import train_model
from src.model_evaluation import evaluate_model
from src.trading_strategy import implement_trading_strategy

class BotGUI:
    def __init__(self, master):
        self.master = master
        master.title("Trading Bot")

        # Define a custom font
        customFont = font.Font(family="Helvetica", size=12)

        # Set the background color o