Spaces:
Sleeping
Sleeping
File size: 61,994 Bytes
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import gradio as gr
import os
from openai import AsyncOpenAI
from openai import OpenAI
from huggingface_hub import InferenceClient
api_key = ""
client = OpenAI(
base_url="https://Localhost/v1",
api_key=api_key
)
def respond(
message,
history: list[dict[str, str]],
system_message,
max_tokens,
temperature,
top_p,
hf_token: gr.OAuthToken,
):
"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
messages = [{"role": "system", "content": system_message}]
messages.extend(history)
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
choices = message.choices
token = ""
if len(choices) and choices[0].delta.content:
token = choices[0].delta.content
response += token
yield response
custom_css = """
.gradio-container {
background-color: rgba(243, 48, 4, 0.85);
background-image: url("https://huggingface.co/LeroyDyer/ImageFiles/resolve/main/LCARS_PANEL.png");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
border-radius: 20px;
}
.agent-card { padding: 10px; margin: 5px 0; border-radius: 8px; background: #f0f8ff; }
.agent-card.active { background: #e6f2ff; border-left: 3px solid #3399FF; }
.status-indicator { display: inline-block; width: 10px; height: 10px; border-radius: 50%; margin-right: 5px; }
.online { background-color: #4CAF50; }
.offline { background-color: #F44336; }
.console-log { font-family: monospace; font-size: 0.9em; background: #1e1e1e; color: #00ff00; padding: 10px; border-radius: 5px; height: 500px; overflow-y: auto; }
.log-entry { margin: 2px 0; }
.log-public { color: #00ff00; }
.log-direct { color: #ffaa00; }
.log-system { color: #00aaff; }
.message-controls { background: #f5f5f5; padding: 10px; border-radius: 5px; margin-bottom: 10px; }
.console-log {
font-family: monospace;
font-size: 0.85em;
background: #1e1e1e;
color: #00ff00;
padding: 10px;
border-radius: 5px;
height: 600px;
overflow-y: auto;
word-wrap: break-word;
white-space: pre-wrap;
}
.log-entry {
margin: 4px 0;
padding: 2px 4px;
border-left: 2px solid #333;
}
.log-public {
color: #00ff00;
border-left-color: #00aa00;
}
.log-direct {
color: #ffaa00;
border-left-color: #ff8800;
}
.log-system {
color: #00aaff;
border-left-color: #0088ff;
}
.lcars-container {
background: #000d1a;
color: #7EC8E3;
font-family: 'Courier New', monospace;
padding: 20px;
border-radius: 0;
}
.lcars-title {
color: #7EC8E3;
text-align: center;
font-size: 2.2em;
text-shadow: 0 0 10px #7EC8E3, 0 0 20px rgba(126, 200, 227, 0.5);
margin-bottom: 10px;
letter-spacing: 2px;
}
.lcars-subtitle {
color: #aaa;
text-align: center;
font-style: italic;
margin-bottom: 30px;
}
/* Glowing Input Boxes */
.gr-box input, .gr-box textarea {
background: #001122 !important;
color: #7EC8E3 !important;
border: 1px solid #7EC8E3 !important;
box-shadow: 0 0 8px rgba(126, 200, 227, 0.3) !important;
font-family: 'Courier New', monospace !important;
}
.gr-button {
background: linear-gradient(90deg, #003366, #0055aa) !important;
color: #7EC8E3 !important;
border: 1px solid #7EC8E3 !important;
box-shadow: 0 0 10px rgba(126, 200, 227, 0.4) !important;
font-family: 'Courier New', monospace !important;
font-weight: bold !important;
letter-spacing: 1px;
transition: all 0.3s ease;
}
.gr-button:hover {
background: linear-gradient(90deg, #004488, #0077cc) !important;
box-shadow: 0 0 15px rgba(126, 200, 227, 0.6) !important;
transform: scale(1.05);
}
/* Output Panels */
.lcars-output-panel {
border: 2px solid #7EC8E3;
border-radius: 12px;
padding: 15px;
background: #00141a;
box-shadow: 0 0 15px rgba(126, 200, 227, 0.2);
margin-top: 10px;
}
.lcars-error {
color: #ff6b6b;
font-weight: bold;
text-shadow: 0 0 5px rgba(255,107,107,0.5);
padding: 20px;
text-align: center;
}
.lcars-log {
max-height: 400px;
overflow-y: auto;
background: #001018;
border: 1px solid #7EC8E3;
border-radius: 8px;
padding: 10px;
}
.lcars-step {
margin-bottom: 15px;
padding: 10px;
background: #000c14;
border-left: 3px solid #7EC8E3;
}
.lcars-step h4 {
margin: 0 0 8px 0;
color: #7EC8E3;
}
.lcars-step pre {
white-space: pre-wrap;
background: #00080c;
padding: 10px;
border-radius: 5px;
color: #ccc;
font-size: 0.9em;
margin: 10px 0 0 0;
}
code {
background: #000f1f;
color: #7EC8E3;
padding: 2px 6px;
border-radius: 4px;
font-family: 'Courier New';
}
@keyframes glow-pulse {
0% { opacity: 0.8; }
50% { opacity: 1; }
100% { opacity: 0.8; }
}
iframe {
animation: glow-pulse 2.5s infinite ease-in-out;
}
.gr-form { background: transparent !important; }
/* =========================
LCARS47 Bridge Theme
Seamless Drop-In
========================= */
:root {
/* Core LCARS Palette */
--lcars-bg: #000814;
--lcars-panel: #111827;
--lcars-red: #CC6666;
--lcars-gold: #FFCC66;
--lcars-cyan: #66CCCC;
--lcars-text: #FFFFFF;
--lcars-muted: #AAAAAA;
--lcars-orange: #FF9966;
--lcars-purple: #663399;
--lcars-rose: #FF6F91;
--lcars-gold: #FFC766;
--lcars-peach: #FFCC99;
--lcars-blue: #9999FF;
--lcars-lavender: #CCCCFF;
--lcars-tan: #FFCC99;
--lcars-rust: #CC6666;
--lcars-gold: #FFCC66;
--lcars-bg: #F5F0FF;
--lcars-panel: #E8E0F5;
--lcars-text: #2D2D5F;
--lcars-text-light: #5F5F8F;
--lcars-border: #9999CC;
--lcars-accent: #6666CC;
--lcars-dark: #111317;
/* Shared component vars */
--radius-large: 24px;
--radius-full: 50%;
--pulse-speed: 2s;
--font-stack: "Arial Narrow", "Helvetica Neue", sans-serif;
}
.lcars-thinking {{
background: linear-gradient(135deg, {self.colors['panel']}, #001122) !important;
border-left: 4px solid {self.colors['info']} !important;
color: {self.colors['text']} !important;
padding: 15px !important;
border-radius: 0px 15px 15px 0px !important;
}}
.gradio-container {{background-color: rgba(243, 48, 4, 0.85);
background: linear-gradient(135deg, {self.colors['background']}, #001122) !important;
color: {self.colors['text']} !important;
font-family: 'Courier New', monospace !important;
background-image: url("https://huggingface.co/LeroyDyer/ImageFiles/resolve/main/LCARS_PANEL.png");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
border-radius: 20px;
}}
#left-panel {
flex: 0 0 250px !important; /* fixed width */
max-width: 350px !important;
padding: 20px !important;
}
@keyframes pulse {
0% { box-shadow: 0 0 5px var(--lcars-orange); }
50% { box-shadow: 0 0 20px var(--lcars-orange); }
100% { box-shadow: 0 0 5px var(--lcars-orange); }
}
.pulse-animation {
animation: pulse 2s infinite;
}
/* Panels */
.lcars-panel {
background-color: var(--lcars-panel);
border-radius: var(--radius-large);
padding: 1rem;
margin: 0.5rem;
box-shadow: 0 0 8px rgba(0,0,0,0.6);
}
/* Inputs & Outputs */
.lcars-input {{
background: {self.colors['panel']} !important;
color: {self.colors['text']} !important;
border: 2px solid {self.colors['primary']} !important;
border-radius: 0px 10px 10px 0px !important;
padding: 10px !important;
}}
.lcars-output {{
background: linear-gradient(135deg, {self.colors['background']}, {self.colors['panel']}) !important;
color: {self.colors['text']} !important;
border: 2px solid {self.colors['success']} !important;
border-radius: 0px 15px 15px 0px !important;
padding: 15px !important;
font-family: 'Courier New', monospace !important;
}}
/* Responsive */
@media (max-width: 768px) {
.gradio-container { padding: 10px; }
#lcars_logo { height: 150px !important; width: 150px !important; }
}
/* Code & Thinking blocks */
.lcars-code {{
background: {self.colors['background']} !important;
color: {self.colors['success']} !important;
border: 1px solid {self.colors['success']} !important;
border-radius: 5px !important;
font-family: 'Courier New', monospace !important;
}}
.lcars-thinking {{
background: linear-gradient(135deg, {self.colors['panel']}, #001122) !important;
border-left: 4px solid {self.colors['info']} !important;
color: {self.colors['text']} !important;
padding: 15px !important;
border-radius: 0px 15px 15px 0px !important;
}}
.lcars-artifact {{
background: {self.colors['panel']} !important;
border: 2px solid {self.colors['border']} !important;
color: {self.colors['text']} !important;
border-radius: 0px 15px 15px 0px !important;
padding: 15px !important;
margin: 10px 0 !important;
}}
/* Headers */
.lcars-header {
background: var(--lcars-red);
color: var(--lcars-text);
border-radius: var(--radius-large);
padding: 0.75rem 1.5rem;
text-transform: uppercase;
font-size: 1.25rem;
}
/* Chatbox */
.chatbox > div {
background: var(--lcars-dark) !important;
border-radius: 18px !important;
border: 2px solid var(--lcars-purple) !important;
}
/* =========================
Buttons / Tabs / Chips
========================= */
button, .lcars-tab, .lcars-chip {
background: var(--lcars-gold);
border: none;
border-radius: var(--radius-large);
padding: 0.5rem 1rem;
margin: 0.25rem;
color: var(--lcars-bg);
font-weight: bold;
font-size: 1rem;
transition: all 0.3s ease-in-out;
cursor: pointer;
}
button:hover, .lcars-tab:hover, .lcars-chip:hover {
background: var(--lcars-orange);
color: var(--lcars-text);
}
/* Circular buttons */
button.round, .lcars-chip.round {
border-radius: var(--radius-full);
padding: 0.75rem;
width: 3rem;
height: 3rem;
text-align: center;
}
/* =========================
Containers (Code, JSON, Chat, Artifacts)
========================= */
.json-container, .code-container, .chat-container, .artifact-container {
border-radius: var(--radius-large);
padding: 1rem;
margin: 0.5rem 0;
background: var(--lcars-panel);
color: var(--lcars-text);
font-family: monospace;
font-size: 0.9rem;
line-height: 1.4;
white-space: pre-wrap;
overflow-x: auto;
}
/* =========================
Artifact / Chat / Code Borders
========================= */
.artifact-container {
border: 3px solid var(--lcars-gold);
animation: pulse-yellow var(--pulse-speed) infinite;
}
.chat-container {
border: 3px solid var(--lcars-red);
animation: pulse-red var(--pulse-speed) infinite;
}
.code-container {
border: 3px solid var(--lcars-purple);
animation: pulse-orange var(--pulse-speed) infinite;
}
/* =========================
Animations
========================= */
@keyframes pulse-red {
0%, 100% { box-shadow: 0 0 5px var(--lcars-red); }
50% { box-shadow: 0 0 20px var(--lcars-red); }
}
@keyframes pulse-yellow {
0%, 100% { box-shadow: 0 0 5px var(--lcars-gold); }
50% { box-shadow: 0 0 20px var(--lcars-gold); }
}
@keyframes pulse-orange {
0%, 100% { box-shadow: 0 0 5px var(--lcars-orange); }
50% { box-shadow: 0 0 20px var(--lcars-orange); }
}
/* Thought styling */
.thought {
opacity: 0.8;
font-family: "Courier New", monospace;
border: 1px rgb(229, 128, 12) solid;
padding: 10px;
border-radius: 5px;
display: none;
box-shadow: 0 0 20px rgba(255, 153, 0, 0.932);
}
.thought-prompt {
opacity: 0.8;
font-family: "Courier New", monospace;
}
/* =========================
Metadata & Thought Blocks
========================= */
.metadata-display, .thought-block {
background: var(--lcars-blue);
border-radius: var(--radius-large);
padding: 0.75rem;
margin: 0.5rem 0;
color: var(--lcars-bg);
font-weight: bold;
}
.metadata-display {
background: var(--lcars-panel);
border-left: 4px solid var(--lcars-blue);
box-shadow: 0 0 20px rgba(255, 153, 0, 0.932);
padding: 10px;
border-radius: 5px;
overflow-y: auto;
max-height: 300px;
}
.metadata-display .json-container {
font-family: monospace;
font-size: 0.9em;
background: #6b50111a;
}
.primary {
background: linear-gradient(45deg, var(--lcars-orange), #ffaa33) !important;
color: hwb(90 7% 5% / 0.102);
font-family: "Courier New", monospace;
border: 1px rgb(229, 128, 12) solid;
}
.secondary {
background: linear-gradient(45deg, var(--lcars-blue), #33aacc) !important;
color: #6b50111a;
font-family: "Courier New", monospace;
border: 1px rgb(229, 128, 12) solid;
box-shadow: 0 0 20px rgba(255, 153, 0, 0.932);
}
::-webkit-scrollbar-thumb:hover {
background-color: var(--lcars-gold);
}
#lcars_logo {
border-radius: 15px;
border: 2px solid var(--lcars-orange);
box-shadow: 0 0 20px rgba(255, 153, 0, 0.932);
}
.lcars-tab {{
background: {self.colors['panel']} !important;
color: {self.colors['text']} !important;
border: 2px solid {self.colors['primary']} !important;
border-radius: 0px 10px 0px 0px !important;
}}
.lcars-tab.selected {{
background: {self.colors['primary']} !important;
color: {self.colors['background']} !important;
}}
.lcars-panel.lcars-empty {
text-align: center;
font-style: italic;
color: var(--lcars-text-light);
}
.lcars-panel.lcars-error {
background: #FFE5E5;
border-color: var(--lcars-rust);
color: #CC0000;
}
/* Input fields */
.lcars-input input,
.lcars-input textarea {
background: white !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 8px !important;
color: var(--lcars-text) !important;
padding: 10px !important;
font-size: 14px !important;
}
.lcars-input input:focus,
.lcars-input textarea:focus {
border-color: var(--lcars-accent) !important;
outline: none !important;
box-shadow: 0 0 8px rgba(102, 102, 204, 0.3) !important;
}
/* Dropdowns and selects */
.lcars-dropdown select,
.lcars-dropdown input {
background: white !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 8px !important;
color: var(--lcars-text) !important;
padding: 8px !important;
}
/* Checkboxes */
.lcars-checkbox label {
background: var(--lcars-panel) !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 8px !important;
padding: 8px 12px !important;
margin: 4px !important;
transition: all 0.2s ease !important;
}
.lcars-checkbox label:hover {
background: var(--lcars-lavender) !important;
border-color: var(--lcars-accent) !important;
}
/* Radio buttons */
.lcars-radio label {
background: var(--lcars-panel) !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 20px !important;
padding: 8px 16px !important;
margin: 4px !important;
}
/* Display fields */
.lcars-display input {
background: var(--lcars-panel) !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 8px !important;
color: var(--lcars-text) !important;
font-family: 'Courier New', monospace !important;
padding: 10px !important;
}
/* Accordions */
.lcars-accordion {
background: var(--lcars-panel) !important;
border: 2px solid var(--lcars-border) !important;
border-radius: 12px !important;
margin: 8px 0 !important;
}
.lcars-accordion summary {
background: linear-gradient(135deg, var(--lcars-orange), var(--lcars-peach)) !important;
color: var(--lcars-text) !important;
font-weight: bold !important;
padding: 12px !important;
border-radius: 10px !important;
cursor: pointer !important;
}
/* Participant Cards & Collapsible Layout */
.lcars-participants-container {
display: flex;
flex-direction: column;
gap: 15px;
width: 100%;
}
/* Base Card Styles */
.lcars-collapsible-card {
border: 1px solid #444;
border-radius: 8px;
background: #1a1a1a;
color: #fff;
overflow: hidden;
transition: all 0.3s ease;
}
.lcars-collapsible-card.collapsed .lcars-participant-expanded {
display: none;
}
.lcars-collapsible-card.expanded .lcars-participant-collapsed {
display: none;
}
.lcars-collapsible-card.expanded .lcars-collapse-icon {
transform: rotate(90deg);
}
/* Card Headers */
.lcars-participant-header {
background: #3366cc;
color: white;
padding: 12px 15px;
display: flex;
justify-content: space-between;
align-items: center;
cursor: pointer;
border-bottom: 2px solid #ffcc00;
transition: background 0.2s ease;
}
.lcars-participant-header:hover {
background: #2a55a8;
}
.lcars-participant-name {
font-weight: bold;
font-size: 1.1em;
}
.lcars-collapse-icon {
transition: transform 0.3s ease;
font-size: 0.8em;
}
/* Badges */
.lcars-badge-manager {
background: #ffcc00;
color: #000;
padding: 4px 8px;
border-radius: 12px;
font-size: 0.8em;
font-weight: bold;
letter-spacing: 1px;
box-shadow: 0 2px 4px rgba(255, 215, 0, 0.3);
}
.lcars-badge-agent {
background: #00cc66;
color: #000;
padding: 4px 8px;
border-radius: 12px;
font-size: 0.8em;
font-weight: bold;
letter-spacing: 1px;
box-shadow: 0 2px 4px rgba(0, 204, 102, 0.3);
}
.lcars-badge-human {
background: #9966cc;
color: #fff;
padding: 4px 8px;
border-radius: 12px;
font-size: 0.8em;
font-weight: bold;
letter-spacing: 1px;
box-shadow: 0 2px 4px rgba(153, 102, 255, 0.3);
}
/* Card Content Sections */
.lcars-participant-collapsed,
.lcars-participant-expanded {
padding: 15px;
}
.lcars-participant-preview {
display: flex;
flex-direction: column;
gap: 8px;
}
.lcars-info-section {
margin-bottom: 20px;
padding-bottom: 15px;
border-bottom: 1px solid #333;
}
.lcars-info-section:last-child {
border-bottom: none;
margin-bottom: 0;
}
.lcars-section-title {
color: #ffcc00;
font-weight: bold;
font-size: 0.9em;
text-transform: uppercase;
letter-spacing: 1px;
margin-bottom: 10px;
border-bottom: 1px solid #444;
padding-bottom: 5px;
}
/* Info Rows */
.lcars-info-row {
display: flex;
margin-bottom: 8px;
line-height: 1.4;
color: var(--lcars-text-light);
}
.lcars-info-row.full-width {
flex-direction: column;
}
.lcars-label {
color: #ffcc00;
font-weight: bold;
min-width: 120px;
margin-right: 10px;
font-size: 0.9em;
}
/* Lists */
.lcars-goals-list li {
margin-bottom: 5px;
line-height: 1.4;
color: #e0e0e0;
}
/* Template Styling */
.lcars-template-container {
background: rgba(255, 255, 255, 0.05);
border: 1px solid #444;
border-radius: 4px;
padding: 10px;
max-height: 200px;
overflow-y: auto;
}
.lcars-template-preview {
color: #e0e0e0;
font-family: monospace;
font-size: 0.85em;
line-height: 1.4;
white-space: pre-wrap;
}
.lcars-template-truncated {
color: #ffcc00;
font-size: 0.8em;
font-style: italic;
margin-top: 8px;
}
.lcars-no-template {
color: #888;
font-style: italic;
}
/* More Skills Indicator */
.lcars-more-skills {
color: #ffcc00;
font-size: 0.8em;
font-style: italic;
margin-top: 5px;
display: block;
}
/* Agent Details Panel */
.lcars-agent-details {
background: white;
border: 3px solid var(--lcars-border);
border-radius: 12px;
overflow: hidden;
box-shadow: 0 4px 12px rgba(102, 102, 204, 0.2);
}
.lcars-agent-header {
background: linear-gradient(135deg, var(--lcars-blue), var(--lcars-lavender));
padding: 16px;
display: flex;
justify-content: space-between;
align-items: center;
}
.lcars-agent-name {
font-size: 20px;
font-weight: bold;
color: white;
text-transform: uppercase;
letter-spacing: 2px;
}
.lcars-status-connected {
background: #66CC66;
color: white;
padding: 6px 14px;
border-radius: 16px;
font-size: 12px;
font-weight: bold;
}
.lcars-status-available {
background: var(--lcars-orange);
color: white;
padding: 6px 14px;
border-radius: 16px;
font-size: 12px;
font-weight: bold;
}
.lcars-agent-body {
padding: 18px;
}
.lcars-detail-row {
margin: 12px 0;
display: flex;
gap: 10px;
}
.lcars-detail-label {
font-weight: bold;
color: var(--lcars-accent);
min-width: 120px;
text-transform: uppercase;
font-size: 12px;
letter-spacing: 1px;
}
.lcars-detail-value {
color: var(--lcars-text);
flex: 1;
}
.lcars-model-badge {
background: var(--lcars-panel);
color: var(--lcars-accent);
padding: 4px 10px;
border-radius: 6px;
font-family: 'Courier New', monospace;
font-size: 12px;
}
.lcars-detail-section {
margin: 16px 0;
padding: 12px;
background: var(--lcars-panel);
border-radius: 8px;
}
.lcars-skills-list {
line-height: 2;
}
.lcars-skill-item {
color: var(--lcars-text-light);
font-size: 13px;
margin-left: 8px;
}
.lcars-expertise {
color: var(--lcars-text-light);
font-size: 13px;
line-height: 1.8;
}
/* Pattern Details */
.lcars-pattern-details {
border: 1px solid #444;
border-radius: 8px;
margin: 10px 0;
background: #1a1a1a;
color: #fff;
}
.lcars-pattern-header {
background: #3366cc;
color: white;
padding: 12px 15px;
font-weight: bold;
font-size: 1.1em;
text-align: center;
border-bottom: 2px solid #ffcc00;
}
.lcars-pattern-body {
padding: 15px;
}
.lcars-pattern-section {
margin-bottom: 20px;
display: block;
}
.lcars-pattern-section:last-child {
margin-bottom: 0;
}
.lcars-pattern-label {
font-weight: bold;
color: #ffcc00;
margin-bottom: 5px;
font-size: 0.9em;
text-transform: uppercase;
letter-spacing: 1px;
}
.lcars-pattern-text {
color: #fa0404;
line-height: 1.5;
}
/* Log display */
.lcars-log-panel {
background: #00008734;
color: #050505;
font-family: 'Courier New', monospace;
font-size: 16px;
border-radius: 8px;
padding: 12px;
max-height: 500px;
overflow-y: auto;
box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.3);
}
.lcars-log-panel.lcars-empty {
color: #999;
text-align: center;
font-style: italic;
}
.lcars-log-entries {
display: flex;
flex-direction: column;
gap: 4px;
}
.lcars-log-entry {
padding: 6px 10px;
border-left: 3px solid transparent;
border-radius: 3px;
transition: all 0.2s ease;
}
.lcars-log-entry:hover {
background: rgba(255, 255, 255, 0.05);
}
.lcars-log-info {
border-left-color: #5c635cda;
color: #1636e7;
}
.lcars-log-error {
border-left-color: #202120;
color: #1636e7;
}
.lcars-log-level {
font-weight: bold;
margin-right: 8px;
}
/* Chatbot styling */
.lcars-chatbot {
border: 3px solid var(--lcars-border) !important;
border-radius: 12px !important;
background: white !important;
}
.gradio-container {
background-color: rgba(243, 48, 4, 0.85);
background-image: url("https://huggingface.co/LeroyDyer/ImageFiles/resolve/main/LCARS_PANEL.png");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
border-radius: 20px;
}
.tab-nav button {
background: var(--lcars-panel) !important;
border: 2px solid var(--lcars-border) !important;
color: var(--lcars-text) !important;
border-radius: 8px 8px 0 0 !important;
margin-right: 4px !important;
font-weight: bold !important;
}
.tab-nav button.selected {
background: linear-gradient(135deg, var(--lcars-orange), var(--lcars-peach)) !important;
color: var(--lcars-text) !important;
border-bottom: none !important;
}
/* Ensure vertical stacking of participants */
.lcars-participants-container {
display: flex !important;
flex-direction: column !important;
gap: 16px !important;
width: 100% !important;
max-width: 100% !important;
margin: 0 auto !important;
align-items: stretch !important; /* Ensures full width alignment */
}
/* Make sure each participant card respects container flow */
.lcars-participant-card-manager,
.lcars-participant-card-agent,
.lcars-participant-card-human {
display: flex !important;
flex-direction: column !important;
break-inside: avoid !important; /* Prevents awkward splits in print/PDF */
position: relative !important;
width: 100% !important;
box-sizing: border-box !important;
background: white !important;
color: #2D2D5F !important;
}
.lcars-content {
background: rgba(0, 0, 0, 0.95) !important;
border: 2px solid #ff9900 !important;
color: #ffffff !important;
font-family: 'Times New Roman', serif !important;
padding: 20px !important;
height: 600px !important;
overflow-y: auto !important;
}
.gr-button:hover {
background: linear-gradient(45deg, #ffcc00, #ff9900) !important;
box-shadow: 0 0 15px rgba(255, 153, 0, 0.8) !important;
}
.block {
background: rgba(0, 0, 0, 0.8) !important;
border: 2px solid #ff9900 !important;
border-radius: 0px !important;
}
/* Scrollbar */
::-webkit-scrollbar {{ width: 12px; }}
::-webkit-scrollbar-track {{ background: {self.colors['background']}; }}
::-webkit-scrollbar-thumb {{
background: {self.colors['primary']};
border-radius: 0px 10px 10px 0px;
}}
::-webkit-scrollbar-thumb:hover {{ background: {self.colors['accent']}; }}
.lcars-button,
button[variant="primary"] {
background: linear-gradient(135deg, var(--lcars-orange), var(--lcars-peach)) !important;
color: var(--lcars-text) !important;
}
.lcars-button-add {
background: linear-gradient(135deg, var(--lcars-blue), var(--lcars-lavender)) !important;
color: white !important;
}
.lcars-button-send,
.lcars-button-task {
background: linear-gradient(135deg, var(--lcars-purple), var(--lcars-lavender)) !important;
color: white !important;
}
.lcars-button-remove {
background: linear-gradient(135deg, var(--lcars-rust), #FF9999) !important;
color: white !important;
}
.lcars-button-secondary,
.lcars-button-create {
background: linear-gradient(135deg, var(--lcars-gold), var(--lcars-tan)) !important;
color: var(--lcars-text) !important;
}
.gradio-container {{background-color: rgba(243, 48, 4, 0.85);
background: linear-gradient(135deg, {self.colors['background']}, #001122) !important;
color: {self.colors['text']} !important;
font-family: 'Courier New', monospace !important;
background-image: url("https://huggingface.co/LeroyDyer/ImageFiles/resolve/main/LCARS_PANEL.png");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
border-radius: 20px;
}}
"""
with gr.Blocks(
title="🚀 L.C.A.R.S - Local Computer Advanced Reasoning System",
theme='Yntec/HaleyCH_Theme_Orange_Green',css=custom_css
) as demo:
# Header
# State management
history_state = gr.State([])
# ============================================
# HEADER SECTION
# ============================================
with gr.Row():
with gr.Column(scale=1):
gr.Image(
value="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg",
elem_id="lcars_logo",
height=200, show_download_button=False,container=False,
width=200
)
with gr.Column(scale=3):
gr.HTML(f"""
<div style='text-align: center; padding: 20px; font-size: 24px; font-weight: bold; margin-bottom: 20px;
border-radius: 0px 0px 15px 15px;'>
🖥️ L.C.A.R.S - Local Computer Advanced Reasoning System
<br><small style='font-size: 14px;'>USS Enterprise • NCC-1701-D • Starfleet Command</small>
</div>
""")
# ============================================
# MAIN INTERFACE TABS
# ============================================
with gr.Tabs():
# ============================================
# L.C.A.R.S MAIN CHAT TAB (Enhanced)
# ============================================
with gr.TabItem(label="🤖 L.C.A.R.S Chat Intelligence", elem_id="lcars_main_tab"):
with gr.Row():
# LEFT COLUMN - INPUT & CONTROLS
with gr.Column(scale=2):
gr.HTML(f"<div style=' padding: 10px; font-weight: bold;'>🧠 REASONING PROCESS</div>")
with gr.Accordion(label="🧠 Current AI Reasoning", open=False):
thinking_html = gr.HTML(label="AI Thought Process", show_label=True)
# Main chat input
message = gr.Textbox(
show_copy_button=True,
lines=6,
label="💬 Ask L.C.A.R.S",
placeholder="Enter your message to the Local Computer Advanced Reasoning System..."
)
# Control buttons
with gr.Row():
submit_btn = gr.Button("🚀 Ask L.C.A.R.S", variant="huggingface", size="lg")
clear_btn = gr.Button("🗑️ Clear", variant="huggingface")
# Audio controls
with gr.Row():
speak_response = gr.Checkbox(label="🔊 Speak Response", value=False)
speak_thoughts = gr.Checkbox(label="🧠 Speak Reasoning", value=False)
# Quick Actions
with gr.Accordion(label="⚡ Utilitys Quick Actions", open=False):
with gr.Row():
artifact_id_input = gr.Textbox(
label="Artifact ID",
placeholder="Artifact ID (0, 1, 2)",
scale=2
)
execute_artifact_btn = gr.Button("▶️ Execute Artifact", variant="huggingface")
with gr.Row():
batch_artifact_ids = gr.Textbox(
label="Batch Execute IDs",
placeholder="e.g., 0,1 or 0-5",
scale=2
)
batch_execute_btn = gr.Button("⚡Batch Execute", variant="huggingface")
# MIDDLE COLUMN - RESPONSES
with gr.Column(scale=2):
gr.HTML(f"<div style=font-weight: bold;'>SYSTEM RESPONSE</div>")
with gr.Accordion(label="🤖 Library Computer Advanced Reasoning System", open=True):
plain_text_output = gr.Markdown(
container=True,
show_copy_button=True,
label="AI Response",
height=400
)
execution_output = gr.HTML(f"<div style=font-weight: bold;'>🧠 Execution Results</div>")
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Current Session</div>")
# Enhanced Chat History Display
with gr.Accordion(label="📜 Session Chat History", open=False):
chat_history_display = gr.HTML(label="Full Session History", show_label=True)
# Artifacts Display
with gr.Accordion(label="📊 Current Session Artifacts", open=False):
artifacts_display = gr.HTML(label="Generated Artifacts Timeline", show_label=True)
# RIGHT COLUMN - ENHANCED CODE ARTIFACTS
with gr.Column(scale=2):
gr.HTML(f"<div style=font-weight: bold;'>🧱 ENHANCED CODE ARTIFACTS WORKSHOP</div>")
with gr.Accordion(label="🧱 Code Artifacts Workshop", open=True):
# Enhanced Code Editor with save functionality
code_artifacts = gr.Code(
language="python",
label="Generated Code & Artifacts",
lines=10,
interactive=True,
autocomplete=True,
show_line_numbers=True,
elem_id="code_editor"
)
# Enhanced Artifact Controls
with gr.Row():
artifact_description = gr.Textbox(
label="Artifact Description",
placeholder="Brief description of the code...",
scale=2
)
artifact_language = gr.Dropdown(
choices=["python", "javascript", "html", "css", "bash", "sql", "json"],
value="python",
label="Language",
scale=1
)
with gr.Row():
ExecuteCodePad_btn = gr.Button("▶️ Execute Code", variant="huggingface")
CreateArtifact_btn = gr.Button("🧱 Save Artifact", variant="huggingface")
with gr.Row():
LoadArtifact_btn = gr.Button("📂 Load Artifact", variant="huggingface")
Load_artifact_id_input = gr.Textbox(
label="Artifact ID",
placeholder="ID to Load",
scale=1
)
with gr.TabItem("🛠️ Task Enabled AI"):
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>🛠️ Function Tools</div>")
with gr.Row():
with gr.Column():
tool_model_name = gr.Textbox(
label="Tool-Capable Model",
value="leroydyer/lcars/qwen3-0.6b-q4_k_m.gguf"
)
tool_prompt = gr.Textbox(
label="Tool Request",
value="What is the result of 123 + 456? Use the add tool.",
lines=4
)
tool_call_btn = gr.Button("🛠️ Execute Tool Call", variant="huggingface")
with gr.Column():
tool_output = gr.Textbox(label="Tool Execution Results", lines=15)
with gr.TabItem("💻 System Tools", elem_id="system_tab"):
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>💻 System Tools</div>")
with gr.Tabs():
# Tab 1: Code Fragment Analysis
with gr.TabItem("📝 Code Fragment"):
gr.Markdown("### Analyze a Python code snippet")
with gr.Row():
with gr.Column(scale=2):
code_input = gr.Code(
language="python",
label="Python Code",
lines=15
)
fragment_name = gr.Textbox(
label="Fragment Name (optional)",
placeholder="my_code_snippet",
value="code_fragment"
)
analyze_fragment_btn = gr.Button("🔍 Analyze Code Fragment", variant="huggingface")
with gr.Column(scale=3):
fragment_output = gr.Markdown(label="### 🔍 Analysis Results")
code_output = gr.Markdown("Results will appear here")
fragment_download = gr.File(label="📥 Download Report")
# Tab 2: Single File Analysis
with gr.TabItem("📄 Single File"):
gr.Markdown("### Analyze a single Python file")
with gr.Row():
with gr.Column():
file_input = gr.File(
label="Upload Python File",
file_types=[".py"],
type="filepath"
)
analyze_file_btn = gr.Button("🔍 Analyze File", variant="huggingface")
with gr.Column(scale=2):
gr.Markdown("### 🔍 Analysis Results")
single_file_output = gr.Markdown("Results will appear here")
file_output = gr.Markdown(label="Analysis Results")
file_download = gr.File(label="📥 Download Report")
# Tab 3: Directory Analysis
with gr.TabItem("📁 Directory"):
with gr.Row():
gr.HTML(f"""
<div style='text-align: center; font-size: 24px; font-weight: bold; margin-bottom: 20px;
border-radius: 0px 0px 15px 15px;'>
🖥️ Analyze an entire directory/project
</div>
""")
with gr.Column():
gr.HTML(f"""
<div style='text-align: center; padding: 20px; background: linear-gradient(90deg,; font-size: 24px; font-weight: bold; margin-bottom: 20px;
border-radius: 0px 0px 15px 15px;'>
<br><small style='font-size: 14px;'>ℹ️ Directory Scanning Tips
- Default excluded dirs: `__pycache__`, `.git`, `.venv`
</small></br>
</div>
""")
dir_input = gr.Textbox(
label="Directory Path",
placeholder="/path/to/your/project",
lines=1
)
with gr.Row():
recurse_check = gr.Checkbox(label="Include subdirectories", value=True)
analyze_dir_btn = gr.Button("🔍 Analyze Directory", variant="huggingface")
exclude_dirs_input = gr.Textbox(
label="Directories to Exclude (comma separated)",
placeholder="tests, docs, examples",
lines=1
)
with gr.Column():
gr.Markdown("### 📊 Scan Summary")
summary_output = gr.Markdown("Scan results will appear here")
with gr.Column():
gr.Markdown("### 🔍 Detailed Results")
detailed_output = gr.Markdown("Detailed errors and fixes will appear here")
dir_output = gr.Markdown(label="Analysis Results")
dir_download = gr.File(label="📥 Download Report")
with gr.TabItem(label="📊 Enhanced Session & Artifact Management"):
with gr.Row():
# Session Management Column
with gr.Column():
gr.HTML(f"<div style= padding: 8px; font-weight: bold;'>📜 SESSION MANAGEMENT</div>")
session_status = gr.Textbox(label="Session Status", value="Ready", interactive=False)
with gr.Row():
session_name_input = gr.Textbox(
label="Session Name",
placeholder="Leave empty for auto-naming (NewSession1, NewSession2...)",
scale=2
)
merge_session_checkbox = gr.Checkbox(
label="Merge Mode",
value=False,
info="Merge with current session instead of replacing"
)
with gr.Row():
save_session_btn = gr.Button("💾 Save Session", variant="huggingface")
load_session_btn = gr.Button("📂 Load Session", variant="huggingface")
session_dropdown = gr.Dropdown(
label="Available Sessions",
choices=["none"],
interactive=True,
info="Select session to load"
)
with gr.Row():
load_all_sessions_btn = gr.Button("📚 Load All Sessions", variant="huggingface")
refresh_sessions_btn = gr.Button("🔄 Refresh Sessions", variant="huggingface")
# Artifact Management Column
with gr.Column():
gr.HTML(f"<div style= padding: 8px; font-weight: bold;'>🧱 ARTIFACT MANAGEMENT</div>")
artifact_status = gr.Textbox(label="Artifact Status", value="Ready", interactive=False)
with gr.Row():
artifact_session_input = gr.Textbox(
label="Artifact Session Name",
placeholder="Leave empty to load all artifacts",
scale=2
)
merge_artifacts_checkbox = gr.Checkbox(
label="Merge Artifacts",
value=True,
info="Add to current artifacts instead of replacing"
)
with gr.Row():
load_artifacts_btn = gr.Button("📂 Load Artifacts", variant="huggingface")
#save_artifacts_btn = gr.Button("💾 Save Artifacts", variant="huggingface")
artifact_dropdown = gr.Dropdown(
label="Available Artifact Files",
choices=["none"],
interactive=True,
info="Select artifact file to load"
)
with gr.Row():
load_all_artifacts_btn = gr.Button("📚 Load All Artifacts", variant="huggingface")
refresh_artifacts_btn = gr.Button("🔄 Refresh Artifacts", variant="huggingface")
with gr.TabItem(label="📊 Session & Artifact Browser"):
with gr.Row():
session_info = gr.JSON(label="Session Details", value=[], elem_classes=["metadata-display"])
artifact_info = gr.JSON(label="Artifact Details", value=[], elem_classes=["metadata-display"])
with gr.Tab(label="📂 Directory to JSON Extractor", elem_id="directory_extractor_tab"):
def ExtractDirectoryToJson(directory_path="dump", extension='.txt', json_file_path="_Data.json"):
def extract_data_from_files(directory_path, Extension='.md', max_seq_length=2048):
import os
import json
Json_list = []
# Check if directory exists
if not os.path.exists(directory_path):
return f"Error: Directory '{directory_path}' does not exist."
# Check if directory is empty
if not os.listdir(directory_path):
return f"Error: Directory '{directory_path}' is empty."
# Iterate over each file in the directory
for file_name in os.listdir(directory_path):
if file_name.endswith(Extension):
file_path = os.path.join(directory_path, file_name)
try:
with open(file_path, 'r', encoding='utf-8') as file:
chunk = file.read()
chunks = [chunk[i:i+max_seq_length] for i in range(0, len(chunk), max_seq_length)]
for text_seg in chunks:
Json_list.append({'DocumentTitle': file_name, 'Text': text_seg})
except Exception as e:
return f"Error reading file {file_name}: {str(e)}"
return Json_list
def save_to_json(data, json_file):
import os
import json
try:
with open(json_file, 'w') as f:
json.dump(data, f, indent=4)
return True, None
except Exception as e:
return False, str(e)
# Extract file contents
_data = extract_data_from_files(directory_path, Extension=extension)
# Check if we got an error message instead of data
if isinstance(_data, str):
return _data
# Save data to JSON file
success, error = save_to_json(_data, json_file_path)
if success:
return f"File extraction completed. JSON file saved to: {json_file_path}"
else:
return f"Error saving JSON file: {error}"
# Gradio Interface
def process_directory(directory_path, extension, json_filename):
# Validate inputs
if not directory_path:
return "Please select a directory"
if not extension:
return "Please specify a file extension"
if not json_filename:
json_filename = "_Data.json"
# Ensure extension starts with a dot
if not extension.startswith('.'):
extension = '.' + extension
# Call the main function
result = ExtractDirectoryToJson(
directory_path=directory_path,
extension=extension,
json_file_path=json_filename
)
return result
FileTypes=['.txt','.md','.json','.py']
gr.Markdown("## Directory to JSON Extractor")
gr.Markdown("Extract text from files in a directory and save as JSON")
with gr.Row():
directory_input = gr.Textbox(label="Directory Path", placeholder="Path to directory containing files")
directory_btn = gr.Button("Browse")
with gr.Row():
extension_input = gr.Dropdown(label="File Extension",choices=FileTypes, interactive=True)
json_output = gr.Textbox(label="Output JSON Filename", value="_Data.json")
submitProcessDirectory_btn = gr.Button("Process Directory")
output_text = gr.JSON(label="Output")
# Main Crawling Tab
with gr.Tab("🔍 Crawl Repository"):
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("## 🎯 Source Configuration")
source_type = gr.Dropdown(
choices=["GitHub", "Local", "Hugging Face"],
label="Source Type",
value="GitHub"
)
# GitHub settings
with gr.Group(visible=True) as github_group:
repo_url = gr.Textbox(
label="GitHub Repository URL",
placeholder="https://github.com/owner/repo",
value=""
)
github_token = gr.Textbox(
label="GitHub Token (optional)",
type="password",
placeholder="ghp_..."
)
# Local settings
with gr.Group(visible=False) as local_group:
local_path = gr.Textbox(
label="Local Directory Path",
placeholder="/path/to/directory",
value=""
)
# Hugging Face settings
with gr.Group(visible=False) as hf_group:
hf_repo_id = gr.Textbox(
label="Hugging Face Repository ID",
placeholder="microsoft/DialoGPT-medium",
value=""
)
hf_repo_type = gr.Dropdown(
choices=["model", "dataset", "space"],
label="Repository Type",
value="model"
)
hf_token = gr.Textbox(
label="Hugging Face Token (optional)",
type="password",
placeholder="hf_..."
)
gr.Markdown("## ⚙️ Crawling Options")
max_file_size = gr.Number(
label="Max File Size (MB)",
value=1,
minimum=0.1,
maximum=100
)
include_patterns = gr.Textbox(
label="Include Patterns (comma-separated)",
placeholder="*.py, *.js, *.md",
value=""
)
exclude_patterns = gr.Textbox(
label="Exclude Patterns (comma-separated)",
placeholder="*.pyc, __pycache__/*, .git/*",
value=""
)
use_relative_paths = gr.Checkbox(
label="Use Relative Paths",
value=True
)
crawl_btn = gr.Button("🚀 Start Crawling", variant="primary", size="lg")
with gr.Column(scale=2):
gr.Markdown("## 📊 Results")
results_summary = gr.Textbox(
label="Crawling Summary",
lines=8,
interactive=False
)
file_list = gr.Dataframe(
label="Files Found",
headers=["File Path", "Size (chars)", "Type", "Lines"],
interactive=False,
wrap=True
)
# File Browser Tab
with gr.Tab("📁 File Browser"):
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("## 📂 File Selection")
selected_file = gr.Dropdown(
label="Select File",
choices=[],
interactive=True,
allow_custom_value=True
)
load_btn = gr.Button("📖 Load File", variant="secondary")
save_btn = gr.Button("💾 Save Changes", variant="primary")
save_status = gr.Textbox(
label="Status",
lines=2,
interactive=False
)
with gr.Column(scale=3):
gr.Markdown("## ✏️ File Editor")
file_content = gr.Textbox(
label="File Content",
lines=25,
interactive=True,
show_copy_button=True,
placeholder="Select a file to view its content..."
)
# Export Tab
with gr.Tab("📤 Export"):
with gr.Row():
with gr.Column():
gr.Markdown("## 💾 Export Options")
export_format = gr.Dropdown(
choices=["JSON", "File List", "Summary Report"],
label="Export Format",
value="JSON"
)
export_btn = gr.Button("📋 Generate Export", variant="primary")
export_output = gr.Textbox(
label="Export Output",
lines=20,
show_copy_button=True,
interactive=False
)
with gr.Tab("🧠 Task Planning"):
with gr.Column(scale = 1):
with gr.Column():
with gr.Row():
sub_task_output = gr.Textbox(lines=4,show_label=True,container=False,label="Sub Tasks")
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Task Strategy and Planning</div>")
with gr.Accordion("Task Graph", open=False):
task_graph_img = gr.Image(label="Task Reasoning Graph")
with gr.Row():
graph_btn = gr.Button("Visualize Task Graph",variant="huggingface")
with gr.Row():
with gr.Column():
task_input = gr.Textbox(lines = 10,label="Enter Task Description",placeholder = "Write a BPE Tokenizer in VB.NET")
with gr.Column():
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Generated Code</div>")
with gr.Accordion("Generated Code", open=False):
task_code_output = gr.Code(show_label=True,container=True,label="Task Code Generated",language='python')
with gr.Row():
complexity_btn = gr.Button("Analyze Complexity", variant="huggingface")
decompose_btn = gr.Button("Decompose Task", variant="huggingface")
workflow_btn = gr.Button("Generate Workflow", variant="huggingface")
with gr.Row():
GeneratePlan_btn = gr.Button("Generate plan", variant="huggingface")
GenerateTaskCode_btn = gr.Button("Generate code", variant="huggingface")
with gr.Row():
with gr.Tabs():
with gr.Tab("Complexity"):
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Task Complexity</div>")
complexity_output = gr.Markdown(show_label=True,max_height=600,container=True,show_copy_button = True,label="Task Complexity")
with gr.Tab("Planning"):
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Sub Task Planning</div>")
decompose_output = gr.Markdown(show_label=True,container=True,show_copy_button = True,label="Task Analysis")
with gr.Tab("WorkFlow"):
gr.HTML(f"<div style= padding: 10px; font-weight: bold;'>Task Work-Flow</div>")
workflow_output = gr.Markdown(show_label=True,container=True,label="Task WorkFlow")
# Footer
gr.HTML(f"""
<div style='text-align: center; padding: 10px; margin-top: 20px; font-size: 12px;
'>
🚀 L.C.A.R.S - Enhanced Local Computer Advanced Reasoning System v3.0 • Starfleet Command • Computer Core Online
</div>
""")
if __name__ == "__main__":
demo.launch()
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