@ -1,48 +1,58 @@
# coding: utf-8
import argparse
import inspect
import math
import os
import gradio as gr
import random
import torch
import cv2
import re
import uuid
from PIL import Image , ImageDraw , ImageOps , ImageFont
import math
import numpy as np
import argparse
import inspect
from transformers import pipeline , BlipProcessor , BlipForConditionalGeneration , BlipForQuestionAnswering
from diffusers import StableDiffusionPipeline , StableDiffusionInpaintPipeline , StableDiffusionInstructPix2PixPipeline
from diffusers import EulerAncestralDiscreteScheduler
from diffusers import StableDiffusionControlNetPipeline , ControlNetModel , UniPCMultistepScheduler
import cv2
import gradio as gr
import matplotlib . pyplot as plt
import numpy as np
import torch
import wget
from controlnet_aux import HEDdetector , MLSDdetector , OpenposeDetector
from diffusers import (
ControlNetModel ,
EulerAncestralDiscreteScheduler ,
StableDiffusionControlNetPipeline ,
StableDiffusionInpaintPipeline ,
StableDiffusionInstructPix2PixPipeline ,
StableDiffusionPipeline ,
UniPCMultistepScheduler ,
)
from diffusers . pipelines . stable_diffusion import StableDiffusionSafetyChecker
from controlnet_aux import OpenposeDetector , MLSDdetector , HEDdetector
from langchain . agents . initialize import initialize_agent
from langchain . agents . tools import Tool
from langchain . chains . conversation . memory import ConversationBufferMemory
from langchain . llms . openai import OpenAI
from PIL import Image , ImageDraw , ImageFont , ImageOps
from transformers import (
BlipForConditionalGeneration ,
BlipForQuestionAnswering ,
BlipProcessor ,
pipeline ,
)
# Grounding DINO
# import groundingdino.datasets.transforms as T
from swarms . workers . models import (
Compose ,
Normalize ,
RandomResize ,
SLConfig ,
ToTensor ,
RandomResize
build_model ,
clean_state_dict ,
get_phrases_from_posmap ,
)
from swarms . workers . models . segment_anything import (
SamAutomaticMaskGenerator ,
SamPredictor ,
build_sam ,
)
from swarms . workers . models import build_model
from swarms . workers . models import SLConfig
from swarms . workers . models import clean_state_dict , get_phrases_from_posmap
from swarms . workers . models . segment_anything import build_sam , SamPredictor , SamAutomaticMaskGenerator
import cv2
import numpy as np
import matplotlib . pyplot as plt
import wget
VISUAL_AGENT_PREFIX = """ Worker Multi-Modal Agent is designed to be able to assist with a wide range of text and visual related tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. Worker Multi-Modal Agent is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.
Kye
1 year ago