Gogs
commited on
Commit
·
3ce8ecc
1
Parent(s):
f709304
🔧 Switch to Inference API (no local model loading)
Browse files
app.py
CHANGED
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@@ -13,14 +13,13 @@ tokenizer = None
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def load_model():
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"""Load the Yuuki model with proper error handling."""
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global model, tokenizer, MODEL_LOADED
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if MODEL_LOADED:
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return True
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try:
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print(
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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@@ -50,7 +49,6 @@ def generate_code(
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top_k: int = 50,
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repetition_penalty: float = 1.1
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) -> str:
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"""Generate code completion using Yuuki."""
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if not MODEL_LOADED:
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if not load_model():
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@@ -89,30 +87,10 @@ def generate_code(
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# ============================================================================
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#
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# ============================================================================
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-
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EXAMPLES = [
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["module Main where"],
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["open import Data.Nat"],
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["data Bool : Set where"],
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["int main() {"],
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["#include <stdio.h>"],
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["mov eax,"],
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["def hello():"],
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]
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-
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# ============================================================================
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# CSS - Professional Dark Theme (Vercel/ChatGPT Style)
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# ============================================================================
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CUSTOM_CSS = """
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/* Reset and base */
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* {
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box-sizing: border-box;
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}
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-
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.gradio-container {
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max-width: 100% !important;
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padding: 0 !important;
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@@ -125,20 +103,10 @@ CUSTOM_CSS = """
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background: #0a0a0a !important;
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}
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/* Hide default footer */
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footer {
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display: none !important;
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}
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-
/* Main app container */
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#app-container {
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display: flex;
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flex-direction: column;
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min-height: 100vh;
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background: #0a0a0a;
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}
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-
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/* Header */
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#header {
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display: flex;
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align-items: center;
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@@ -146,66 +114,28 @@ footer {
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padding: 16px 24px;
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border-bottom: 1px solid #1f1f1f;
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background: #0a0a0a;
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position: sticky;
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top: 0;
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z-index: 100;
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}
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#logo {
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font-size: 1.25rem;
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font-weight: 600;
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color: #fafafa;
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letter-spacing: -0.02em;
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}
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#
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color: #666;
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font-weight: 400;
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font-size: 0.875rem;
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margin-left: 8px;
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}
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#
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display: flex;
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gap: 4px;
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}
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-
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.nav-btn {
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background: transparent !important;
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border: none !important;
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color: #a1a1a1 !important;
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padding: 8px 16px !important;
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font-size: 0.875rem !important;
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font-weight: 500 !important;
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border-radius: 6px !important;
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cursor: pointer !important;
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transition: all 0.15s ease !important;
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}
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-
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.nav-btn:hover {
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background: #1f1f1f !important;
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color: #fafafa !important;
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}
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-
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.nav-btn.active {
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background: #1f1f1f !important;
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color: #fafafa !important;
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}
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-
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/* Chat area */
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#chat-area {
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flex: 1;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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padding: 40px 24px;
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max-width: 800px;
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margin: 0 auto;
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-
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}
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#welcome-
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text-align: center;
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margin-bottom: 32px;
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}
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@@ -215,105 +145,56 @@ footer {
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font-weight: 600;
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color: #fafafa;
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margin-bottom: 8px;
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letter-spacing: -0.03em;
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}
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#welcome-subtitle {
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font-size: 1rem;
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color: #666;
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margin-bottom:
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}
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-
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/* Output display */
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#output-container {
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width: 100%;
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margin-bottom: 24px;
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}
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#
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background: #
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border: 1px solid #
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border-radius:
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-
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}
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#output-box textarea {
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background:
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color: #e5e5e5 !important;
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font-family:
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font-size: 0.875rem !important;
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line-height: 1.6 !important;
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padding: 16px !important;
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}
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-
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#output-box label {
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color: #666 !important;
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font-size: 0.75rem !important;
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text-transform: uppercase !important;
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letter-spacing: 0.05em !important;
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}
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-
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/* Input area */
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#input-container {
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width: 100%;
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position: relative;
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}
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-
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#input-box {
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background: #141414 !important;
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border: 1px solid #262626 !important;
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border-radius: 12px !important;
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transition: border-color 0.15s ease !important;
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}
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-
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#input-box:focus-within {
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border-color: #404040 !important;
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}
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#input-box textarea {
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background:
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color: #fafafa !important;
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-
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-
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padding-right: 100px !important;
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}
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#input-box textarea::placeholder {
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color: #525252 !important;
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}
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#input-box label {
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display: none !important;
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}
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-
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#generate-btn {
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position: absolute !important;
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right: 8px !important;
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bottom: 8px !important;
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background: #fafafa !important;
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color: #0a0a0a !important;
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border: none !important;
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border-radius: 8px !important;
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padding: 8px 16px !important;
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font-weight: 600 !important;
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font-size: 0.875rem !important;
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cursor: pointer !important;
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transition: all 0.15s ease !important;
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}
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#generate-btn:hover {
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background: #e5e5e5 !important;
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transform: translateY(-1px) !important;
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}
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-
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#generate-btn:active {
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transform: translateY(0) !important;
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}
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-
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/* Examples */
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#examples-container {
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width: 100%;
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margin-top: 16px;
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}
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#examples-label {
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@@ -322,24 +203,15 @@ footer {
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text-transform: uppercase;
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letter-spacing: 0.05em;
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margin-bottom: 12px;
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-
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-
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#examples-grid {
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display: flex;
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flex-wrap: wrap;
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gap: 8px;
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}
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.example-btn {
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background: #141414 !important;
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border: 1px solid #262626 !important;
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color: #a1a1a1 !important;
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-
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font-size: 0.8rem !important;
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font-family: 'SF Mono', monospace !important;
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border-radius: 8px !important;
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cursor: pointer !important;
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transition: all 0.15s ease !important;
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}
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.example-btn:hover {
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@@ -348,14 +220,6 @@ footer {
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color: #fafafa !important;
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}
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/* Tabs/Panels */
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#panel-container {
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width: 100%;
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max-width: 800px;
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margin: 0 auto;
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padding: 24px;
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}
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-
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.panel-section {
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background: #141414;
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border: 1px solid #262626;
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@@ -369,49 +233,8 @@ footer {
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font-weight: 600;
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color: #fafafa;
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margin-bottom: 16px;
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-
display: flex;
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align-items: center;
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gap: 8px;
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}
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-
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.panel-title::before {
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content: '';
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width: 4px;
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height: 16px;
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background: #fafafa;
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border-radius: 2px;
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}
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-
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/* Settings sliders */
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.settings-grid {
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display: grid;
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grid-template-columns: repeat(2, 1fr);
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gap: 16px;
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}
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@media (max-width: 640px) {
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.settings-grid {
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grid-template-columns: 1fr;
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}
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}
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-
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/* Override Gradio slider styles */
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.gr-slider input[type="range"] {
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background: #262626 !important;
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}
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-
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.gr-slider label {
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color: #a1a1a1 !important;
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font-size: 0.8rem !important;
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}
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-
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.gr-slider .gr-input {
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-
background: #1f1f1f !important;
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border: 1px solid #262626 !important;
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-
color: #fafafa !important;
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-
}
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-
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/* Info cards in panels */
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.info-row {
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display: flex;
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justify-content: space-between;
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@@ -434,12 +257,10 @@ footer {
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font-weight: 500;
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}
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-
/* Score badges */
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.score-grid {
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display: flex;
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gap: 8px;
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flex-wrap: wrap;
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-
margin-top: 12px;
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}
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.score-badge {
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@@ -449,25 +270,24 @@ footer {
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font-weight: 600;
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}
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.score-
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| 453 |
background: rgba(34, 197, 94, 0.15);
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| 454 |
color: #22c55e;
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border: 1px solid rgba(34, 197, 94, 0.3);
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}
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-
.score-
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| 459 |
background: rgba(234, 179, 8, 0.15);
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| 460 |
color: #eab308;
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| 461 |
border: 1px solid rgba(234, 179, 8, 0.3);
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| 462 |
}
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| 463 |
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| 464 |
-
.score-
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| 465 |
background: rgba(239, 68, 68, 0.15);
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| 466 |
color: #ef4444;
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| 467 |
border: 1px solid rgba(239, 68, 68, 0.3);
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| 468 |
}
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| 469 |
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| 470 |
-
/* Comparison table */
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| 471 |
.comparison-table {
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| 472 |
width: 100%;
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| 473 |
border-collapse: collapse;
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@@ -486,18 +306,16 @@ footer {
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font-weight: 500;
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| 487 |
font-size: 0.75rem;
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| 488 |
text-transform: uppercase;
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| 489 |
-
letter-spacing: 0.05em;
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| 490 |
}
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| 491 |
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.comparison-table td {
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color: #a1a1a1;
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}
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-
.comparison-table
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| 497 |
color: #22c55e;
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| 498 |
}
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| 499 |
|
| 500 |
-
/* Links */
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| 501 |
.links-grid {
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| 502 |
display: flex;
|
| 503 |
gap: 16px;
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@@ -508,26 +326,16 @@ footer {
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| 508 |
color: #a1a1a1;
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| 509 |
text-decoration: none;
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| 510 |
font-size: 0.875rem;
|
| 511 |
-
padding: 8px 0;
|
| 512 |
-
transition: color 0.15s ease;
|
| 513 |
}
|
| 514 |
|
| 515 |
.link-item:hover {
|
| 516 |
color: #fafafa;
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| 517 |
}
|
| 518 |
|
| 519 |
-
/* Tab styling override */
|
| 520 |
-
.gr-tab-nav {
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| 521 |
-
background: transparent !important;
|
| 522 |
-
border: none !important;
|
| 523 |
-
}
|
| 524 |
-
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| 525 |
.gr-tab-nav button {
|
| 526 |
background: transparent !important;
|
| 527 |
border: none !important;
|
| 528 |
color: #666 !important;
|
| 529 |
-
font-size: 0.875rem !important;
|
| 530 |
-
padding: 12px 16px !important;
|
| 531 |
}
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| 532 |
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| 533 |
.gr-tab-nav button.selected {
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@@ -535,68 +343,18 @@ footer {
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| 535 |
border-bottom: 2px solid #fafafa !important;
|
| 536 |
}
|
| 537 |
|
| 538 |
-
/* Disclaimer banner */
|
| 539 |
-
#disclaimer-banner {
|
| 540 |
-
background: #18181b;
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| 541 |
-
border: 1px solid #27272a;
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| 542 |
-
border-radius: 8px;
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| 543 |
-
padding: 12px 16px;
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| 544 |
-
margin-bottom: 24px;
|
| 545 |
-
display: flex;
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| 546 |
-
align-items: flex-start;
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| 547 |
-
gap: 12px;
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| 548 |
-
}
|
| 549 |
-
|
| 550 |
-
#disclaimer-icon {
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| 551 |
-
color: #eab308;
|
| 552 |
-
font-size: 1rem;
|
| 553 |
-
flex-shrink: 0;
|
| 554 |
-
margin-top: 2px;
|
| 555 |
-
}
|
| 556 |
-
|
| 557 |
-
#disclaimer-text {
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| 558 |
-
color: #a1a1a1;
|
| 559 |
-
font-size: 0.8rem;
|
| 560 |
-
line-height: 1.5;
|
| 561 |
-
}
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| 562 |
-
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| 563 |
-
#disclaimer-text strong {
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| 564 |
-
color: #fafafa;
|
| 565 |
-
}
|
| 566 |
-
|
| 567 |
-
/* Hide Gradio branding */
|
| 568 |
.gr-prose {
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| 569 |
color: #a1a1a1 !important;
|
| 570 |
}
|
| 571 |
|
| 572 |
-
.gr-prose h3 {
|
| 573 |
-
color: #fafafa !important;
|
| 574 |
-
}
|
| 575 |
-
|
| 576 |
.gr-prose strong {
|
| 577 |
color: #fafafa !important;
|
| 578 |
}
|
| 579 |
-
|
| 580 |
-
/* Accordion override */
|
| 581 |
-
.gr-accordion {
|
| 582 |
-
background: #141414 !important;
|
| 583 |
-
border: 1px solid #262626 !important;
|
| 584 |
-
border-radius: 12px !important;
|
| 585 |
-
}
|
| 586 |
-
|
| 587 |
-
.gr-accordion > .label-wrap {
|
| 588 |
-
background: transparent !important;
|
| 589 |
-
color: #fafafa !important;
|
| 590 |
-
}
|
| 591 |
-
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| 592 |
-
.gr-accordion > .label-wrap:hover {
|
| 593 |
-
background: #1f1f1f !important;
|
| 594 |
-
}
|
| 595 |
"""
|
| 596 |
|
| 597 |
|
| 598 |
# ============================================================================
|
| 599 |
-
#
|
| 600 |
# ============================================================================
|
| 601 |
|
| 602 |
with gr.Blocks(
|
|
@@ -613,175 +371,115 @@ with gr.Blocks(
|
|
| 613 |
block_background_fill_dark="#141414",
|
| 614 |
block_border_color="#262626",
|
| 615 |
block_border_color_dark="#262626",
|
| 616 |
-
block_label_text_color="#666666",
|
| 617 |
-
block_title_text_color="#fafafa",
|
| 618 |
body_text_color="#a1a1a1",
|
| 619 |
body_text_color_dark="#a1a1a1",
|
| 620 |
-
color_accent="#fafafa",
|
| 621 |
input_background_fill="#141414",
|
| 622 |
input_background_fill_dark="#141414",
|
| 623 |
-
input_border_color="#262626",
|
| 624 |
-
input_border_color_dark="#262626",
|
| 625 |
)
|
| 626 |
) as demo:
|
| 627 |
|
| 628 |
-
current_tab = gr.State("chat")
|
| 629 |
-
|
| 630 |
# Header
|
| 631 |
-
gr.HTML("""
|
| 632 |
-
<div id="header">
|
| 633 |
-
<div id="logo">Yuuki <span>v0.1-preview</span></div>
|
| 634 |
-
</div>
|
| 635 |
-
""")
|
| 636 |
|
| 637 |
-
#
|
| 638 |
-
with gr.Tabs()
|
| 639 |
|
| 640 |
-
#
|
| 641 |
-
with gr.Tab("Chat"
|
| 642 |
-
gr.HTML(""
|
| 643 |
-
|
| 644 |
-
<div id="welcome-section">
|
| 645 |
-
<div id="welcome-title">Yuuki</div>
|
| 646 |
-
<div id="welcome-subtitle">Mobile-trained code generation model</div>
|
| 647 |
-
<div id="disclaimer-banner">
|
| 648 |
-
<span id="disclaimer-icon">!</span>
|
| 649 |
-
<span id="disclaimer-text">
|
| 650 |
-
<strong>Experimental model.</strong> Best at Agda (55/100). Limited C, Assembly. Weak Python.
|
| 651 |
-
Trained entirely on smartphone CPU with $0 budget.
|
| 652 |
-
</span>
|
| 653 |
-
</div>
|
| 654 |
-
</div>
|
| 655 |
-
</div>
|
| 656 |
-
""")
|
| 657 |
|
| 658 |
-
|
| 659 |
-
|
| 660 |
-
|
| 661 |
-
|
| 662 |
-
|
| 663 |
-
|
| 664 |
-
|
| 665 |
-
)
|
| 666 |
|
| 667 |
-
with gr.
|
| 668 |
prompt_input = gr.Textbox(
|
| 669 |
label="",
|
| 670 |
placeholder="Enter code prompt... (e.g., module Main where)",
|
| 671 |
lines=2,
|
| 672 |
elem_id="input-box",
|
| 673 |
-
show_label=False
|
| 674 |
-
|
| 675 |
-
generate_btn = gr.Button(
|
| 676 |
-
"Generate",
|
| 677 |
-
variant="primary",
|
| 678 |
-
elem_id="generate-btn",
|
| 679 |
-
size="sm"
|
| 680 |
)
|
|
|
|
| 681 |
|
| 682 |
-
# Examples
|
| 683 |
gr.HTML('<div id="examples-label">Try these</div>')
|
| 684 |
-
with gr.Row(
|
| 685 |
-
|
| 686 |
-
|
| 687 |
-
|
| 688 |
-
|
| 689 |
|
| 690 |
-
|
| 691 |
-
ex_btn_2.click(lambda: "open import Data.Nat", outputs=prompt_input)
|
| 692 |
-
ex_btn_3.click(lambda: "int main() {", outputs=prompt_input)
|
| 693 |
-
ex_btn_4.click(lambda: "def hello():", outputs=prompt_input)
|
| 694 |
|
| 695 |
-
#
|
| 696 |
-
with gr.Tab("Settings"
|
| 697 |
-
gr.HTML('<div id="panel-container">')
|
| 698 |
-
|
| 699 |
with gr.Column(elem_classes=["panel-section"]):
|
| 700 |
gr.HTML('<div class="panel-title">Generation Parameters</div>')
|
| 701 |
|
| 702 |
with gr.Row():
|
| 703 |
with gr.Column():
|
| 704 |
-
max_new_tokens = gr.Slider(
|
| 705 |
-
|
| 706 |
-
|
| 707 |
-
value=100,
|
| 708 |
-
step=10,
|
| 709 |
-
label="Max Tokens"
|
| 710 |
-
)
|
| 711 |
-
temperature = gr.Slider(
|
| 712 |
-
minimum=0.1,
|
| 713 |
-
maximum=1.5,
|
| 714 |
-
value=0.7,
|
| 715 |
-
step=0.1,
|
| 716 |
-
label="Temperature"
|
| 717 |
-
)
|
| 718 |
-
top_p = gr.Slider(
|
| 719 |
-
minimum=0.1,
|
| 720 |
-
maximum=1.0,
|
| 721 |
-
value=0.9,
|
| 722 |
-
step=0.05,
|
| 723 |
-
label="Top P"
|
| 724 |
-
)
|
| 725 |
with gr.Column():
|
| 726 |
-
top_k = gr.Slider(
|
| 727 |
-
|
| 728 |
-
maximum=100,
|
| 729 |
-
value=50,
|
| 730 |
-
step=5,
|
| 731 |
-
label="Top K"
|
| 732 |
-
)
|
| 733 |
-
repetition_penalty = gr.Slider(
|
| 734 |
-
minimum=1.0,
|
| 735 |
-
maximum=2.0,
|
| 736 |
-
value=1.1,
|
| 737 |
-
step=0.05,
|
| 738 |
-
label="Repetition Penalty"
|
| 739 |
-
)
|
| 740 |
-
|
| 741 |
-
gr.HTML('</div>')
|
| 742 |
|
| 743 |
-
#
|
| 744 |
-
with gr.Tab("Info"
|
| 745 |
-
gr.HTML('<div id="panel-container">')
|
| 746 |
-
|
| 747 |
-
# Model Info
|
| 748 |
with gr.Column(elem_classes=["panel-section"]):
|
| 749 |
gr.HTML('<div class="panel-title">Model Information</div>')
|
| 750 |
-
gr.HTML("""
|
| 751 |
-
|
| 752 |
-
|
| 753 |
-
|
| 754 |
-
|
| 755 |
-
|
| 756 |
-
<span class="info-label">Size</span>
|
| 757 |
-
<span class="info-value">988 MB</span>
|
| 758 |
-
</div>
|
| 759 |
-
<div class="info-row">
|
| 760 |
-
<span class="info-label">Training Progress</span>
|
| 761 |
-
<span class="info-value">2,000 / 37,500 steps (5.3%)</span>
|
| 762 |
-
</div>
|
| 763 |
-
<div class="info-row">
|
| 764 |
-
<span class="info-label">Hardware</span>
|
| 765 |
-
<span class="info-value">Snapdragon 685 (CPU only)</span>
|
| 766 |
-
</div>
|
| 767 |
-
<div class="info-row">
|
| 768 |
-
<span class="info-label">Training Speed</span>
|
| 769 |
-
<span class="info-value">~86 sec/step</span>
|
| 770 |
-
</div>
|
| 771 |
-
<div class="info-row">
|
| 772 |
-
<span class="info-label">Loss Range</span>
|
| 773 |
-
<span class="info-value">1.69 - 2.31</span>
|
| 774 |
-
</div>
|
| 775 |
-
<div class="info-row">
|
| 776 |
-
<span class="info-label">Cost</span>
|
| 777 |
-
<span class="info-value">$0.00</span>
|
| 778 |
-
</div>
|
| 779 |
-
""")
|
| 780 |
|
| 781 |
-
# Language Scores
|
| 782 |
with gr.Column(elem_classes=["panel-section"]):
|
| 783 |
gr.HTML('<div class="panel-title">Language Performance</div>')
|
| 784 |
-
gr.HTML("""
|
| 785 |
-
|
| 786 |
-
|
| 787 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
| 13 |
|
| 14 |
|
| 15 |
def load_model():
|
|
|
|
| 16 |
global model, tokenizer, MODEL_LOADED
|
| 17 |
|
| 18 |
if MODEL_LOADED:
|
| 19 |
return True
|
| 20 |
|
| 21 |
try:
|
| 22 |
+
print("Loading Yuuki model...")
|
| 23 |
|
| 24 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
|
| 25 |
model = AutoModelForCausalLM.from_pretrained(
|
|
|
|
| 49 |
top_k: int = 50,
|
| 50 |
repetition_penalty: float = 1.1
|
| 51 |
) -> str:
|
|
|
|
| 52 |
|
| 53 |
if not MODEL_LOADED:
|
| 54 |
if not load_model():
|
|
|
|
| 87 |
|
| 88 |
|
| 89 |
# ============================================================================
|
| 90 |
+
# CSS
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 91 |
# ============================================================================
|
| 92 |
|
| 93 |
CUSTOM_CSS = """
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 94 |
.gradio-container {
|
| 95 |
max-width: 100% !important;
|
| 96 |
padding: 0 !important;
|
|
|
|
| 103 |
background: #0a0a0a !important;
|
| 104 |
}
|
| 105 |
|
|
|
|
| 106 |
footer {
|
| 107 |
display: none !important;
|
| 108 |
}
|
| 109 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
#header {
|
| 111 |
display: flex;
|
| 112 |
align-items: center;
|
|
|
|
| 114 |
padding: 16px 24px;
|
| 115 |
border-bottom: 1px solid #1f1f1f;
|
| 116 |
background: #0a0a0a;
|
|
|
|
|
|
|
|
|
|
| 117 |
}
|
| 118 |
|
| 119 |
#logo {
|
| 120 |
font-size: 1.25rem;
|
| 121 |
font-weight: 600;
|
| 122 |
color: #fafafa;
|
|
|
|
| 123 |
}
|
| 124 |
|
| 125 |
+
#version-tag {
|
| 126 |
color: #666;
|
| 127 |
font-weight: 400;
|
| 128 |
font-size: 0.875rem;
|
| 129 |
margin-left: 8px;
|
| 130 |
}
|
| 131 |
|
| 132 |
+
#chat-container {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 133 |
max-width: 800px;
|
| 134 |
margin: 0 auto;
|
| 135 |
+
padding: 40px 24px;
|
| 136 |
}
|
| 137 |
|
| 138 |
+
#welcome-box {
|
| 139 |
text-align: center;
|
| 140 |
margin-bottom: 32px;
|
| 141 |
}
|
|
|
|
| 145 |
font-weight: 600;
|
| 146 |
color: #fafafa;
|
| 147 |
margin-bottom: 8px;
|
|
|
|
| 148 |
}
|
| 149 |
|
| 150 |
#welcome-subtitle {
|
| 151 |
font-size: 1rem;
|
| 152 |
color: #666;
|
| 153 |
+
margin-bottom: 16px;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 154 |
}
|
| 155 |
|
| 156 |
+
#disclaimer {
|
| 157 |
+
background: #18181b;
|
| 158 |
+
border: 1px solid #27272a;
|
| 159 |
+
border-radius: 8px;
|
| 160 |
+
padding: 12px 16px;
|
| 161 |
+
color: #a1a1a1;
|
| 162 |
+
font-size: 0.8rem;
|
| 163 |
+
text-align: left;
|
| 164 |
+
display: inline-block;
|
| 165 |
+
max-width: 600px;
|
| 166 |
}
|
| 167 |
|
| 168 |
#output-box textarea {
|
| 169 |
+
background: #141414 !important;
|
| 170 |
color: #e5e5e5 !important;
|
| 171 |
+
font-family: monospace !important;
|
| 172 |
font-size: 0.875rem !important;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 173 |
border: 1px solid #262626 !important;
|
| 174 |
border-radius: 12px !important;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 175 |
}
|
| 176 |
|
| 177 |
#input-box textarea {
|
| 178 |
+
background: #141414 !important;
|
| 179 |
color: #fafafa !important;
|
| 180 |
+
border: 1px solid #262626 !important;
|
| 181 |
+
border-radius: 12px !important;
|
|
|
|
| 182 |
}
|
| 183 |
|
| 184 |
#input-box textarea::placeholder {
|
| 185 |
color: #525252 !important;
|
| 186 |
}
|
| 187 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
#generate-btn {
|
|
|
|
|
|
|
|
|
|
| 189 |
background: #fafafa !important;
|
| 190 |
color: #0a0a0a !important;
|
| 191 |
border: none !important;
|
| 192 |
border-radius: 8px !important;
|
|
|
|
| 193 |
font-weight: 600 !important;
|
|
|
|
|
|
|
|
|
|
| 194 |
}
|
| 195 |
|
| 196 |
#generate-btn:hover {
|
| 197 |
background: #e5e5e5 !important;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 198 |
}
|
| 199 |
|
| 200 |
#examples-label {
|
|
|
|
| 203 |
text-transform: uppercase;
|
| 204 |
letter-spacing: 0.05em;
|
| 205 |
margin-bottom: 12px;
|
| 206 |
+
margin-top: 16px;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 207 |
}
|
| 208 |
|
| 209 |
.example-btn {
|
| 210 |
background: #141414 !important;
|
| 211 |
border: 1px solid #262626 !important;
|
| 212 |
color: #a1a1a1 !important;
|
| 213 |
+
font-family: monospace !important;
|
|
|
|
|
|
|
| 214 |
border-radius: 8px !important;
|
|
|
|
|
|
|
| 215 |
}
|
| 216 |
|
| 217 |
.example-btn:hover {
|
|
|
|
| 220 |
color: #fafafa !important;
|
| 221 |
}
|
| 222 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 223 |
.panel-section {
|
| 224 |
background: #141414;
|
| 225 |
border: 1px solid #262626;
|
|
|
|
| 233 |
font-weight: 600;
|
| 234 |
color: #fafafa;
|
| 235 |
margin-bottom: 16px;
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
| 236 |
}
|
| 237 |
|
|
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|
|
|
|
|
|
|
|
|
|
| 238 |
.info-row {
|
| 239 |
display: flex;
|
| 240 |
justify-content: space-between;
|
|
|
|
| 257 |
font-weight: 500;
|
| 258 |
}
|
| 259 |
|
|
|
|
| 260 |
.score-grid {
|
| 261 |
display: flex;
|
| 262 |
gap: 8px;
|
| 263 |
flex-wrap: wrap;
|
|
|
|
| 264 |
}
|
| 265 |
|
| 266 |
.score-badge {
|
|
|
|
| 270 |
font-weight: 600;
|
| 271 |
}
|
| 272 |
|
| 273 |
+
.score-good {
|
| 274 |
background: rgba(34, 197, 94, 0.15);
|
| 275 |
color: #22c55e;
|
| 276 |
border: 1px solid rgba(34, 197, 94, 0.3);
|
| 277 |
}
|
| 278 |
|
| 279 |
+
.score-medium {
|
| 280 |
background: rgba(234, 179, 8, 0.15);
|
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color: #eab308;
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border: 1px solid rgba(234, 179, 8, 0.3);
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}
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+
.score-weak {
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background: rgba(239, 68, 68, 0.15);
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color: #ef4444;
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border: 1px solid rgba(239, 68, 68, 0.3);
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}
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.comparison-table {
|
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width: 100%;
|
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border-collapse: collapse;
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font-weight: 500;
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font-size: 0.75rem;
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text-transform: uppercase;
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}
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.comparison-table td {
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color: #a1a1a1;
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}
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+
.comparison-table strong {
|
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color: #22c55e;
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}
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.links-grid {
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display: flex;
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gap: 16px;
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color: #a1a1a1;
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text-decoration: none;
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font-size: 0.875rem;
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}
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.link-item:hover {
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color: #fafafa;
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}
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.gr-tab-nav button {
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background: transparent !important;
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border: none !important;
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color: #666 !important;
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}
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.gr-tab-nav button.selected {
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border-bottom: 2px solid #fafafa !important;
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}
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.gr-prose {
|
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color: #a1a1a1 !important;
|
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}
|
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.gr-prose strong {
|
| 351 |
color: #fafafa !important;
|
| 352 |
}
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| 353 |
"""
|
| 354 |
|
| 355 |
|
| 356 |
# ============================================================================
|
| 357 |
+
# Interface
|
| 358 |
# ============================================================================
|
| 359 |
|
| 360 |
with gr.Blocks(
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|
| 371 |
block_background_fill_dark="#141414",
|
| 372 |
block_border_color="#262626",
|
| 373 |
block_border_color_dark="#262626",
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|
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|
| 374 |
body_text_color="#a1a1a1",
|
| 375 |
body_text_color_dark="#a1a1a1",
|
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|
| 376 |
input_background_fill="#141414",
|
| 377 |
input_background_fill_dark="#141414",
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|
| 378 |
)
|
| 379 |
) as demo:
|
| 380 |
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|
| 381 |
# Header
|
| 382 |
+
gr.HTML('<div id="header"><div id="logo">Yuuki <span id="version-tag">v0.1-preview</span></div></div>')
|
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|
| 383 |
|
| 384 |
+
# Tabs
|
| 385 |
+
with gr.Tabs():
|
| 386 |
|
| 387 |
+
# Chat Tab
|
| 388 |
+
with gr.Tab("Chat"):
|
| 389 |
+
gr.HTML('<div id="chat-container">')
|
| 390 |
+
gr.HTML('<div id="welcome-box"><div id="welcome-title">Yuuki</div><div id="welcome-subtitle">Mobile-trained code generation model</div><div id="disclaimer"><strong>Experimental model.</strong> Best at Agda (55/100). Limited C, Assembly. Weak Python. Trained on smartphone CPU.</div></div>')
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|
| 391 |
|
| 392 |
+
output = gr.Textbox(
|
| 393 |
+
label="Output",
|
| 394 |
+
lines=10,
|
| 395 |
+
show_copy_button=True,
|
| 396 |
+
elem_id="output-box",
|
| 397 |
+
placeholder="Generated code will appear here..."
|
| 398 |
+
)
|
|
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|
| 399 |
|
| 400 |
+
with gr.Row():
|
| 401 |
prompt_input = gr.Textbox(
|
| 402 |
label="",
|
| 403 |
placeholder="Enter code prompt... (e.g., module Main where)",
|
| 404 |
lines=2,
|
| 405 |
elem_id="input-box",
|
| 406 |
+
show_label=False,
|
| 407 |
+
scale=4
|
|
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|
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|
| 408 |
)
|
| 409 |
+
generate_btn = gr.Button("Generate", variant="primary", elem_id="generate-btn", scale=1)
|
| 410 |
|
|
|
|
| 411 |
gr.HTML('<div id="examples-label">Try these</div>')
|
| 412 |
+
with gr.Row():
|
| 413 |
+
ex1 = gr.Button("module Main where", elem_classes=["example-btn"], size="sm")
|
| 414 |
+
ex2 = gr.Button("open import Data.Nat", elem_classes=["example-btn"], size="sm")
|
| 415 |
+
ex3 = gr.Button("int main() {", elem_classes=["example-btn"], size="sm")
|
| 416 |
+
ex4 = gr.Button("def hello():", elem_classes=["example-btn"], size="sm")
|
| 417 |
|
| 418 |
+
gr.HTML('</div>')
|
|
|
|
|
|
|
|
|
|
| 419 |
|
| 420 |
+
# Settings Tab
|
| 421 |
+
with gr.Tab("Settings"):
|
|
|
|
|
|
|
| 422 |
with gr.Column(elem_classes=["panel-section"]):
|
| 423 |
gr.HTML('<div class="panel-title">Generation Parameters</div>')
|
| 424 |
|
| 425 |
with gr.Row():
|
| 426 |
with gr.Column():
|
| 427 |
+
max_new_tokens = gr.Slider(minimum=20, maximum=256, value=100, step=10, label="Max Tokens")
|
| 428 |
+
temperature = gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="Temperature")
|
| 429 |
+
top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top P")
|
|
|
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|
|
|
|
| 430 |
with gr.Column():
|
| 431 |
+
top_k = gr.Slider(minimum=1, maximum=100, value=50, step=5, label="Top K")
|
| 432 |
+
repetition_penalty = gr.Slider(minimum=1.0, maximum=2.0, value=1.1, step=0.05, label="Repetition Penalty")
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 433 |
|
| 434 |
+
# Info Tab
|
| 435 |
+
with gr.Tab("Info"):
|
|
|
|
|
|
|
|
|
|
| 436 |
with gr.Column(elem_classes=["panel-section"]):
|
| 437 |
gr.HTML('<div class="panel-title">Model Information</div>')
|
| 438 |
+
gr.HTML('<div class="info-row"><span class="info-label">Model</span><span class="info-value">Yuuki-best (checkpoint-2000)</span></div>')
|
| 439 |
+
gr.HTML('<div class="info-row"><span class="info-label">Size</span><span class="info-value">988 MB</span></div>')
|
| 440 |
+
gr.HTML('<div class="info-row"><span class="info-label">Training Progress</span><span class="info-value">2,000 / 37,500 steps (5.3%)</span></div>')
|
| 441 |
+
gr.HTML('<div class="info-row"><span class="info-label">Hardware</span><span class="info-value">Snapdragon 685 (CPU only)</span></div>')
|
| 442 |
+
gr.HTML('<div class="info-row"><span class="info-label">Speed</span><span class="info-value">~86 sec/step</span></div>')
|
| 443 |
+
gr.HTML('<div class="info-row"><span class="info-label">Cost</span><span class="info-value">$0.00</span></div>')
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 444 |
|
|
|
|
| 445 |
with gr.Column(elem_classes=["panel-section"]):
|
| 446 |
gr.HTML('<div class="panel-title">Language Performance</div>')
|
| 447 |
+
gr.HTML('<div class="score-grid"><span class="score-badge score-good">Agda: 55/100</span><span class="score-badge score-medium">C: 20/100</span><span class="score-badge score-medium">Assembly: 15/100</span><span class="score-badge score-weak">Python: 8/100</span></div>')
|
| 448 |
+
gr.HTML('<p style="color: #666; font-size: 0.8rem; margin-top: 16px;">Average quality: 24.6/100 (+146% from checkpoint 1400)</p>')
|
| 449 |
+
|
| 450 |
+
with gr.Column(elem_classes=["panel-section"]):
|
| 451 |
+
gr.HTML('<div class="panel-title">Checkpoint Comparison</div>')
|
| 452 |
+
gr.HTML('<table class="comparison-table"><thead><tr><th>Metric</th><th>CP-1400</th><th>CP-2000</th></tr></thead><tbody><tr><td>Progress</td><td>3.7%</td><td><strong>5.3%</strong></td></tr><tr><td>Agda</td><td>20/100</td><td><strong>55/100</strong></td></tr><tr><td>C</td><td>8/100</td><td><strong>20/100</strong></td></tr><tr><td>Assembly</td><td>2/100</td><td><strong>15/100</strong></td></tr><tr><td>Average</td><td>~10/100</td><td><strong>24.6/100</strong></td></tr></tbody></table>')
|
| 453 |
+
|
| 454 |
+
with gr.Column(elem_classes=["panel-section"]):
|
| 455 |
+
gr.HTML('<div class="panel-title">About</div>')
|
| 456 |
+
gr.Markdown("This is the **best model available at this moment**. The full **v0.1** release is coming soon. Once published, plans for **v0.2** will begin.\n\nYuuki is being trained **entirely on a smartphone CPU** by a **single person**. A research paper exploring mobile LLM training will be published soon.\n\n**Why this matters:**\n- Students without GPU access can experiment with ML\n- Democratizes ML research globally\n- Explores edge ML training possibilities")
|
| 457 |
+
|
| 458 |
+
with gr.Column(elem_classes=["panel-section"]):
|
| 459 |
+
gr.HTML('<div class="panel-title">Links</div>')
|
| 460 |
+
gr.HTML('<div class="links-grid"><a href="https://huggingface.co/OpceanAI/Yuuki-best" target="_blank" class="link-item">Model Card</a><a href="https://huggingface.co/OpceanAI/Yuuki" target="_blank" class="link-item">Original Yuuki</a><a href="https://github.com/YuuKi-OS/yuuki-training" target="_blank" class="link-item">Training Code</a></div>')
|
| 461 |
+
gr.HTML('<p style="color: #525252; font-size: 0.75rem; margin-top: 24px;">Licensed under Apache 2.0</p>')
|
| 462 |
+
|
| 463 |
+
# Event handlers
|
| 464 |
+
generate_btn.click(
|
| 465 |
+
fn=generate_code,
|
| 466 |
+
inputs=[prompt_input, max_new_tokens, temperature, top_p, top_k, repetition_penalty],
|
| 467 |
+
outputs=output
|
| 468 |
+
)
|
| 469 |
+
|
| 470 |
+
prompt_input.submit(
|
| 471 |
+
fn=generate_code,
|
| 472 |
+
inputs=[prompt_input, max_new_tokens, temperature, top_p, top_k, repetition_penalty],
|
| 473 |
+
outputs=output
|
| 474 |
+
)
|
| 475 |
+
|
| 476 |
+
ex1.click(lambda: "module Main where", outputs=prompt_input)
|
| 477 |
+
ex2.click(lambda: "open import Data.Nat", outputs=prompt_input)
|
| 478 |
+
ex3.click(lambda: "int main() {", outputs=prompt_input)
|
| 479 |
+
ex4.click(lambda: "def hello():", outputs=prompt_input)
|
| 480 |
+
|
| 481 |
+
|
| 482 |
+
# Launch
|
| 483 |
+
if __name__ == "__main__":
|
| 484 |
+
demo.launch(share=False, show_error=True, show_api=False)
|
| 485 |
+
|