Spaces:
Running
on
Zero
Running
on
Zero
File size: 4,264 Bytes
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import os
import shutil
import tempfile
import spaces
import gradio as gr
import torch
from llava.conversation import Conversation, conv_templates
from llava.serve.gradio_utils import (Chat, block_css, learn_more_markdown,
title_markdown)
def save_video_to_local(video_path):
filename = os.path.join('temp', next(
tempfile._get_candidate_names()) + '.mp4')
shutil.copyfile(video_path, filename)
return filename
@spaces.GPU(duration=60)
def generate(video, textbox_in, first_run, state, state_):
flag = 1
if not textbox_in:
if len(state_.messages) > 0:
textbox_in = state_.messages[-1][1]
state_.messages.pop(-1)
flag = 0
else:
return "Please enter instruction"
video = video if video else "none"
if type(state) is not Conversation:
state = conv_templates[conv_mode].copy()
state_ = conv_templates[conv_mode].copy()
first_run = False if len(state.messages) > 0 else True
text_en_out, state_ = handler.generate(
video, textbox_in, first_run=first_run, state=state_)
state_.messages[-1] = (state_.roles[1], text_en_out)
textbox_out = text_en_out
if flag:
state.append_message(state.roles[0], textbox_in)
state.append_message(state.roles[1], textbox_out)
torch.cuda.empty_cache()
return (state, state_, state.to_gradio_chatbot(), False, gr.update(value=None, interactive=True), gr.update(value=video if os.path.exists(video) else None, interactive=True))
def clear_history(state, state_):
state = conv_templates[conv_mode].copy()
state_ = conv_templates[conv_mode].copy()
return (gr.update(value=None, interactive=True),
gr.update(value=None, interactive=True),
True, state, state_, state.to_gradio_chatbot())
conv_mode = "llava_llama_3"
model_path = 'Lin-Chen/sharegpt4video-8b'
device = 'cuda'
load_8bit = False
load_4bit = False
dtype = torch.float16
handler = Chat(model_path, conv_mode=conv_mode,
load_8bit=load_8bit, load_4bit=load_8bit, device=device)
textbox = gr.Textbox(
show_label=False, placeholder="Enter text and press ENTER", container=False
)
with gr.Blocks(title='ShareGPT4Video-8B🚀', theme=gr.themes.Default(), css=block_css) as demo:
gr.Markdown(title_markdown)
state = gr.State()
state_ = gr.State()
first_run = gr.State()
with gr.Row():
with gr.Column(scale=3):
video = gr.Video(label="Input Video")
cur_dir = os.path.dirname(os.path.abspath(__file__))
with gr.Column(scale=7):
chatbot = gr.Chatbot(label="ShareGPT4Video-8B",
bubble_full_width=True)
with gr.Row():
with gr.Column(scale=8):
textbox.render()
with gr.Column(scale=1, min_width=50):
submit_btn = gr.Button(
value="Send", variant="primary", interactive=True
)
with gr.Row(elem_id="buttons") as button_row:
regenerate_btn = gr.Button(
value="🔄 Regenerate", interactive=True)
clear_btn = gr.Button(
value="🗑️ Clear history", interactive=True)
with gr.Row():
gr.Examples(
examples=[
[
f"{cur_dir}/examples/sample_demo_1.mp4",
"Why is this video funny?",
],
[
f"{cur_dir}/examples/C_1_0.mp4",
"Write a poem for this video.",
],
[
f"{cur_dir}/examples/yoga.mp4",
"What is happening in this video?",
]
],
inputs=[video, textbox],
)
gr.Markdown(learn_more_markdown)
submit_btn.click(generate, [video, textbox, first_run, state, state_],
[state, state_, chatbot, first_run, textbox, video])
clear_btn.click(clear_history, [state, state_],
[video, textbox, first_run, state, state_, chatbot])
demo.launch(server_name='0.0.0.0', server_port=23858, share=True)
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