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import gradio as gr
import os
from app_utils import (
update_scene_display,
update_log_display,
run_simulation,
update_history_display,
record_access,
cleanup_session,
TMP_ROOT,
MODEL_CHOICES,
SCENE_CONFIGS,
)
header_html = """
<div style="display: flex; justify-content: space-between; align-items: center; width: 100%; margin-bottom: 20px; padding: 20px; background: linear-gradient(135deg, #528bdb 0%, #a7b5d0 100%); border-radius: 8px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);">
<div style="display: flex; align-items: center;">
<img src="https://www.shlab.org.cn/static/img/index_14.685f6559.png" alt="Institution Logo" style="height: 60px; margin-right: 20px;">
<div>
<h1 style="margin: 0; color: #2c3e50; font-weight: 600;">🤖 InternManip Model Inference Demo</h1>
<p style="margin: 4px 0 0 0; color: #5d6d7e; font-size: 0.9em;">Model trained on InternManip framework</p>
</div>
</div>
<div style="display: flex; gap: 15px; align-items: center;">
<a href="https://github.com/InternRobotics" target="_blank" style="text-decoration: none; transition: transform 0.2s;" onmouseover="this.style.transform='scale(1.1)'" onmouseout="this.style.transform='scale(1)'">
<img src="https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png" alt="GitHub" style="height: 30px;">
</a>
<a href="https://huggingface.co/InternRobotics" target="_blank" style="text-decoration: none; transition: transform 0.2s;" onmouseover="this.style.transform='scale(1.1)'" onmouseout="this.style.transform='scale(1)'">
<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height: 30px;">
</a>
<a href="https://huggingface.co/spaces/OpenRobotLab/InternNav-eval-demo" target="_blank">
<button style="padding: 8px 15px; background: #3498db; color: white; border: none; border-radius: 4px; cursor: pointer; font-weight: 500; transition: all 0.2s;"
onmouseover="this.style.backgroundColor='#2980b9'; this.style.transform='scale(1.05)'"
onmouseout="this.style.backgroundColor='#3498db'; this.style.transform='scale(1)'">
Go to InternNav Demo
</button>
</a>
</div>
</div>
"""
# CSS style
custom_css = """
#simulation-panel {
border-radius: 8px;
padding: 20px;
background: #f9f9f9;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
#result-panel {
border-radius: 8px;
padding: 20px;
background: #f0f8ff;
}
.dark #simulation-panel { background: #2a2a2a; }
.dark #result-panel { background: #1a2a3a; }
.history-container {
max-height: 600px;
overflow-y: auto;
margin-top: 20px;
}
.history-accordion {
margin-bottom: 10px;
}
.logs-container {
max-height: 500px;
overflow-y: auto;
margin-top: 20px;
padding: 15px;
background: #f5f5f5;
border-radius: 8px;
}
.dark .logs-container {
background: #2a2a2a;
}
.log-table {
width: 100%;
border-collapse: collapse;
}
.log-table th, .log-table td {
padding: 8px 12px;
border: 1px solid #ddd;
text-align: left;
}
.dark .log-table th, .dark .log-table td {
border-color: #444;
}
"""
def start_session(req: gr.Request):
user_dir = os.path.join(TMP_ROOT, str(req.session_hash))
os.makedirs(user_dir, exist_ok=True)
# Gradio UI
with gr.Blocks(title="InternManip Model Inference Demo", css=custom_css) as demo:
gr.HTML(header_html)
history_state = gr.State([])
with gr.Row():
with gr.Column(elem_id="simulation-panel"):
gr.Markdown("### Simulation Settings")
scene_dropdown = gr.Dropdown(
label="Choose a scene",
choices=list(SCENE_CONFIGS.keys()),
value="scene_1",
interactive=True
)
scene_description = gr.Markdown("")
scene_preview = gr.Image(
label="Scene Preview",
elem_classes=["scene-preview"],
interactive=False
)
scene_dropdown.change(
update_scene_display,
inputs=scene_dropdown,
outputs=[scene_description, scene_preview]
)
prompt_input = gr.Textbox(
label="Manipulation Prompt",
value="Move the milk carton to the top of the ceramic bowl.",
placeholder="Example: 'Move the milk carton to the top of the ceramic bowl.'",
lines=2,
max_lines=4
)
model_dropdown = gr.Dropdown(
label="Chose a pretrained model",
choices=MODEL_CHOICES,
value=MODEL_CHOICES[0]
)
with gr.Accordion("Advance Settings", open=False):
max_steps = gr.Slider(
minimum=50,
maximum=500,
value=300,
step=10,
label="Max Steps"
)
submit_btn = gr.Button("Apply and Start Simulation", variant="primary")
with gr.Column(elem_id="result-panel"):
gr.Markdown("### Result")
video_output = gr.Video(
label="Live",
interactive=False,
format="mp4",
autoplay=True,
streaming=True
)
with gr.Column() as history_container:
gr.Markdown("### History")
gr.Markdown("#### History will be reset after refresh")
# Precreate 10 history slot
history_slots = []
for i in range(10):
with gr.Column(visible=False) as slot:
with gr.Accordion(visible=False, open=False) as accordion:
video = gr.Video(interactive=False)
detail_md = gr.Markdown() # display detail info
history_slots.append((slot, accordion, video, detail_md))
# display log infomation (DEV ONLY)
with gr.Accordion("查看系统访问日志(DEV ONLY)", visible=False, open=False):
logs_display = gr.Markdown()
refresh_logs_btn = gr.Button("刷新日志", variant="secondary")
refresh_logs_btn.click(
update_log_display,
outputs=logs_display
)
# Examples
gr.Examples(
examples=[
["scene_1", "Move the milk carton to the top of the ceramic bowl.", "gr1", 300],
],
inputs=[scene_dropdown, prompt_input, model_dropdown, max_steps],
label="Examples"
)
# 提交处理
submit_btn.click(
fn=run_simulation,
inputs=[scene_dropdown, prompt_input, model_dropdown, max_steps, history_state],
outputs=[video_output, history_state],
queue=True
).then(
fn=update_history_display,
inputs=history_state,
outputs=[comp for slot in history_slots for comp in slot],
queue=True
).then(
fn=update_log_display,
outputs=logs_display
)
demo.load(
start_session
).then(
fn=lambda: update_scene_display("scene_1"),
outputs=[scene_description, scene_preview]
).then(
fn=record_access,
inputs=None,
outputs=logs_display,
queue=False
).then(
fn=update_log_display,
outputs=logs_display
)
demo.queue(default_concurrency_limit=8)
demo.unload(fn=cleanup_session)
if __name__ == "__main__":
demo.launch() |