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demo.py
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demo.py
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import os
import json
import base64
import random
import datetime
import torch
import numpy as np
import gradio as gr
from peng_utils import TestBlip2, TestMiniGPT4, TestMplugOwl, TestMultimodelGPT, TestOtter, TestFlamingo
LOGDIR = '/data1/VLP_web_data/vote_data'
os.makedirs(LOGDIR, exist_ok=True)
enable_btn = gr.Button.update(interactive=True)
disable_btn = gr.Button.update(interactive=False)
device = torch.device('cuda:4')
vlp_models = {
'blip2': TestBlip2(),
'minigpt4': TestMiniGPT4(),
'owl': TestMplugOwl(),
# 'mmgpt': TestMultimodelGPT(),
'otter': TestOtter(),
'flamingo': TestFlamingo()
}
def save_vote_data(state):
t = datetime.datetime.now()
log_name = os.path.join(LOGDIR, f"{t.year}-{t.month:02d}-{t.day:02d}-conv.json")
with open(log_name, 'a') as fout:
state['image'] = np.array(state['image'], dtype='uint8').tolist()
fout.write(json.dumps(state) + "\n")
def vote_up_model(state, chatbot):
state['user_vote'] = 'up'
save_vote_data(state)
chatbot.append((
'Your Vote: Up!',
f"Up Model: {state['VLP_names'][0]}, Down Model: {state['VLP_names'][1]}"
))
return chatbot, disable_btn, disable_btn, disable_btn, enable_btn
def vote_down_model(state, chatbot):
state['user_vote'] = 'down'
save_vote_data(state)
chatbot.append((
'Your Vote: Down!',
f"Up Model: {state['VLP_names'][0]}, Down Model: {state['VLP_names'][1]}"
))
return chatbot, disable_btn, disable_btn, disable_btn, enable_btn
def vote_model_tie(state, chatbot):
state['user_vote'] = 'tie'
save_vote_data(state)
chatbot.append((
'Your Vote: Tie!',
f"Up Model: {state['VLP_names'][0]}, Down Model: {state['VLP_names'][1]}"
))
return chatbot, disable_btn, disable_btn, disable_btn, enable_btn
def clear_chat(state):
if state is not None:
state = {}
return state, None, gr.update(value=None, interactive=True), gr.update(placeholder="Enter text and press ENTER"), disable_btn, disable_btn, disable_btn, enable_btn
def user_ask(state, chatbot, text_box):
state['text'] = text_box
if text_box == '':
return state, chatbot, '', enable_btn
chatbot = chatbot + [[text_box, None], [text_box, None]]
return state, chatbot, '', disable_btn
def run_VLP_models(state, chatbot, gr_img):
if state['text'] == '' or gr_img is None:
return state, chatbot, enable_btn, disable_btn, disable_btn, disable_btn, enable_btn
selected_VLP_models = random.sample(list(vlp_models.keys()), 2)
vlp_outputs = [vlp_models[x].generate(state['text'], gr_img, device) for x in selected_VLP_models]
state['image'] = gr_img
state['VLP_names'] = selected_VLP_models
state['VLP_outputs'] = vlp_outputs
chatbot[-2][1] = vlp_outputs[0]
chatbot[-1][1] = vlp_outputs[1]
return state, chatbot, enable_btn, enable_btn, enable_btn, enable_btn, enable_btn
with gr.Blocks() as demo:
state = gr.State({})
with gr.Row():
with gr.Column(scale=0.5):
imagebox = gr.Image(type="pil")
with gr.Row() as button_row:
upvote_btn = gr.Button(value="👍 Upvote", interactive=False)
downvote_btn = gr.Button(value="👎 Downvote", interactive=False)
tie_btn = gr.Button(value="🤝 Tie", interactive=False)
clear_btn = gr.Button(value="🗑️ Clear", interactive=False)
with gr.Column():
chatbot = gr.Chatbot(label='ChatBox')
with gr.Row():
with gr.Column(scale=8):
textbox = gr.Textbox(placeholder="Enter text and press ENTER")
with gr.Column(scale=1, min_width=60):
submit_btn = gr.Button(value="Submit")
btn_list = [upvote_btn, downvote_btn, tie_btn, clear_btn]
textbox.submit(user_ask, [state, chatbot, textbox], [state, chatbot, textbox, submit_btn]).then(run_VLP_models, [state, chatbot, imagebox], [state, chatbot, submit_btn] + btn_list)
submit_btn.click(user_ask, [state, chatbot, textbox], [state, chatbot, textbox, submit_btn]).then(run_VLP_models, [state, chatbot, imagebox], [state, chatbot, submit_btn] + btn_list)
clear_btn.click(clear_chat, [state], [state, chatbot, imagebox, textbox] + btn_list)
upvote_btn.click(vote_up_model, [state, chatbot], [chatbot] + btn_list)
downvote_btn.click(vote_down_model, [state, chatbot], [chatbot] + btn_list)
tie_btn.click(vote_model_tie, [state, chatbot], [chatbot] + btn_list)
server_name = '103.108.182.56' # '127.0.0.1'
demo.launch(share=True, enable_queue=True, server_name='0.0.0.0', server_port=7860)