Spaces:
Running on Zero
Running on Zero
update app
Browse files
app.py
CHANGED
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@@ -33,11 +33,12 @@ DTYPE = (
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else torch.float16
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)
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QWEN_4B_MODEL_NAME
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QWEN_2B_MODEL_NAME
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QWEN_VL_MODEL_NAME
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LFM_450_MODEL_NAME
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LFM_16_MODEL_NAME
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# ββ Qwen3.5-4B ββββββββββββββββββββββββββββββββββββββββββ
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print(f"Loading Qwen3.5-4B model: {QWEN_4B_MODEL_NAME} on {DEVICE}...")
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@@ -112,6 +113,19 @@ except Exception as e:
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lfm_16_model = None
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lfm_16_processor = None
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# --- Utility Functions ---
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def safe_parse_json(text: str):
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@@ -151,6 +165,7 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': '[Error] Qwen3.5-4B model not loaded.'})}\n\n"
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yield "data: [DONE]\n\n"
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return
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messages = [{"role": "user", "content": [
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{"type": "image", "image": image},
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{"type": "text", "text": full_prompt},
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@@ -182,6 +197,7 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': '[Error] Qwen3.5-2B model not loaded.'})}\n\n"
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yield "data: [DONE]\n\n"
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return
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messages = [{"role": "user", "content": [
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{"type": "image", "image": image},
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{"type": "text", "text": full_prompt},
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@@ -213,6 +229,7 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': '[Error] Qwen3-VL model not loaded.'})}\n\n"
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yield "data: [DONE]\n\n"
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return
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messages = [{"role": "user", "content": [
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{"type": "image", "image": image},
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{"type": "text", "text": full_prompt},
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@@ -244,6 +261,7 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': '[Error] LFM-450M model not loaded.'})}\n\n"
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yield "data: [DONE]\n\n"
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return
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conversation = [{"role": "user", "content": [
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{"type": "image", "image": image},
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{"type": "text", "text": full_prompt},
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@@ -272,6 +290,7 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': '[Error] LFM-1.6B model not loaded.'})}\n\n"
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yield "data: [DONE]\n\n"
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return
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conversation = [{"role": "user", "content": [
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{"type": "image", "image": image},
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{"type": "text", "text": full_prompt},
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@@ -294,6 +313,38 @@ def generate_inference_stream(
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yield f"data: {json.dumps({'chunk': tok})}\n\n"
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thread.join()
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yield "data: [DONE]\n\n"
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@@ -348,55 +399,51 @@ async def homepage(request: Request):
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* { box-sizing: border-box; margin: 0; padding: 0; }
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html, body {
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-
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overflow: hidden;
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background: var(--bg);
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color: var(--text);
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font-family: 'JetBrains Mono', monospace;
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}
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/* ββ Top Bar ββ */
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.top-bar {
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position:
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height:
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background: rgba(13,13,15,0.
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border-bottom: 1px solid var(--node-border);
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display: flex; align-items: center; padding: 0
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gap:
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backdrop-filter: blur(12px);
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}
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.top-bar .logo { font-size:
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.top-bar .sep { color: var(--node-border); }
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.top-bar .sub { font-size:
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.top-bar .badge {
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margin-left: auto;
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background: rgba(124,106,247,0.15);
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border: 1px solid rgba(124,106,247,0.3);
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padding:
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font-size:
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}
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/* ββ
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#
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position:
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/* ββ World (the zoomable container) ββ */
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#world {
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position: absolute;
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top: 0; left: 0;
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width: 2400px;
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height: 1600px;
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transform-origin: 0 0;
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background-image:
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radial-gradient(circle at 20% 50%, rgba(124,106,247,0.04) 0%, transparent 50%),
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radial-gradient(circle at 80% 20%, rgba(78,205,196,0.04) 0%, transparent 50%),
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linear-gradient(var(--grid) 1px, transparent 1px),
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linear-gradient(90deg, var(--grid) 1px, transparent 1px);
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background-size: 100% 100%, 100% 100%, 24px 24px, 24px 24px;
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}
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svg.wires {
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@@ -419,26 +466,26 @@ async def homepage(request: Request):
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/* ββ Nodes ββ */
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.node {
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position: absolute;
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width:
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background: var(--node-bg);
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border: 1px solid var(--node-border);
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border-radius:
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box-shadow: 0
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z-index: 10;
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display: flex; flex-direction: column;
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transition: box-shadow 0.2s;
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}
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.node:hover {
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box-shadow: 0
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}
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.node.fixed-height { height:
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.node-header {
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background: var(--node-header);
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padding:
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border-bottom: 1px solid var(--node-border);
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border-radius:
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font-size:
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cursor: grab;
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display: flex; justify-content: space-between; align-items: center;
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flex-shrink: 0;
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@@ -446,32 +493,32 @@ async def homepage(request: Request):
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}
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.node-header:active { cursor: grabbing; }
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.node-header .id {
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font-size:
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background: rgba(255,255,255,0.04);
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padding:
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}
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.node-body {
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padding:
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display: flex; flex-direction: column; gap:
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flex: 1; overflow: hidden;
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}
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/* ββ Ports ββ */
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.port {
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position: absolute;
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width:
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background: var(--node-bg);
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border: 2px solid var(--port);
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border-radius: 50%; z-index: 30;
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}
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.port.out { right: -
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.port.in { left: -
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/* ββ Labels ββ */
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label {
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font-size:
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font-weight: 600; display: block; margin-bottom:
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letter-spacing: 0.07em; text-transform: uppercase;
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}
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@@ -479,20 +526,20 @@ async def homepage(request: Request):
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.file-upload {
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border: 1.5px dashed var(--node-border);
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border-radius:
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text-align: center; cursor: pointer;
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font-size:
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transition: border-color 0.2s, background 0.2s;
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background: rgba(255,255,255,0.01);
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display: flex; flex-direction: column; align-items: center; gap:
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}
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.file-upload:hover { border-color: var(--accent); background: rgba(124,106,247,0.04); }
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.file-upload svg { opacity: 0.5; transition: opacity 0.2s; }
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.file-upload:hover svg { opacity: 0.9; }
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.img-preview {
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width: 100%; height:
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object-fit: contain; border-radius:
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display: none; background: #000;
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border: 1px solid var(--node-border);
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}
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width: 100%;
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background: rgba(0,0,0,0.3);
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border: 1px solid var(--node-border);
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color: var(--text); padding:
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border-radius:
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font-size:
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resize: none; transition: border-color 0.2s;
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}
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select:focus, textarea:focus { border-color: var(--accent); }
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@@ -512,12 +559,12 @@ async def homepage(request: Request):
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button.run-btn {
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background: linear-gradient(135deg, var(--accent), #9b59b6);
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color: #fff; border: none;
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padding:
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font-weight: 700; font-size:
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font-family: 'JetBrains Mono', monospace;
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cursor: pointer;
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transition: opacity 0.2s, transform 0.1s;
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display: flex; justify-content: center; align-items: center; gap:
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letter-spacing: 0.04em; flex-shrink: 0;
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}
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button.run-btn:hover { opacity: 0.9; }
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.output-box {
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background: rgba(0,0,0,0.4);
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border: 1px solid var(--node-border);
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border-radius:
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flex: 1; overflow-y: auto;
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font-size:
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color: #c8c8e0; white-space: pre-wrap;
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user-select: text;
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font-family: 'JetBrains Mono', monospace;
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.ground-canvas-wrap {
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position: relative; flex: 1;
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border: 1px solid var(--node-border);
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border-radius:
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background: #000; min-height: 0;
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}
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.ground-canvas-wrap canvas {
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@@ -549,11 +596,11 @@ async def homepage(request: Request):
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.ground-placeholder {
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position: absolute; inset: 0;
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display: flex; align-items: center; justify-content: center;
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font-size:
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}
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.loader {
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width:
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border: 2px solid rgba(255,255,255,0.3);
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border-top-color: #fff; border-radius: 50%;
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animation: spin 0.7s linear infinite;
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@keyframes spin { to { transform: rotate(360deg); } }
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.status-dot {
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width:
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background: var(--muted); display: inline-block; margin-right:
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}
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.status-dot.active { background: var(--accent2); box-shadow: 0 0 5px var(--accent2); }
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/* ββ Model badges ββ */
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.model-badge {
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display: inline-block; padding:
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border-radius:
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letter-spacing: 0.06em; text-transform: uppercase;
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}
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.model-badge.q4b { background: rgba(255,200,80,0.15); color: #ffc850; border: 1px solid rgba(255,200,80,0.35); }
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.model-badge.qvl { background: rgba(255,150,50,0.15); color: #ff9632; border: 1px solid rgba(255,150,50,0.35); }
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.model-badge.lfm450 { background: rgba(78,205,196,0.15); color: var(--accent2); border: 1px solid rgba(78,205,196,0.3); }
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.model-badge.lfm16 { background: rgba(107,203,119,0.15); color: #6bcb77; border: 1px solid rgba(107,203,119,0.35); }
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.model-info-box {
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border-radius:
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font-size:
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flex-shrink: 0;
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}
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/* ββββββββββββββββββββββββββββββββββββββββββ
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ZOOM CONTROLS β fixed bottom-right
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ββββββββββββββββββββββββββββββββββββββββββ */
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.zoom-bar {
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position: fixed;
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bottom: 24px; right: 24px;
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z-index: 3000;
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display: flex; align-items: center; gap: 0;
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background: rgba(19,19,26,0.92);
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border: 1px solid var(--node-border);
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border-radius: 10px;
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backdrop-filter: blur(14px);
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box-shadow: 0 8px 32px rgba(0,0,0,0.55);
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overflow: hidden;
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user-select: none;
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}
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.zoom-btn {
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width: 36px; height: 36px;
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display: flex; align-items: center; justify-content: center;
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background: transparent;
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border: none; cursor: pointer;
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color: var(--muted);
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font-size: 18px; font-weight: 700;
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transition: background 0.15s, color 0.15s;
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font-family: 'JetBrains Mono', monospace;
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flex-shrink: 0;
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}
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.zoom-btn:hover { background: rgba(124,106,247,0.15); color: var(--accent); }
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.zoom-btn:active { background: rgba(124,106,247,0.28); }
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width: 1px; height: 20px;
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background: var(--node-border);
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flex-shrink: 0;
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}
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.zoom-track {
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position: relative;
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width: 100px; height: 36px;
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display: flex; align-items: center;
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padding: 0 10px;
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cursor: pointer;
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}
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.zoom-track-bg {
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width: 100%; height: 3px;
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background: var(--node-border);
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border-radius: 3px;
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position: relative;
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}
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.zoom-track-fill {
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position: absolute; left: 0; top: 0; height: 100%;
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background: linear-gradient(90deg, var(--accent), var(--accent2));
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border-radius: 3px;
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transition: width 0.1s;
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}
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.zoom-thumb {
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position: absolute;
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width: 13px; height: 13px;
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background: #fff;
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border: 2px solid var(--accent);
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border-radius: 50%;
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top: 50%; transform: translateY(-50%);
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box-shadow: 0 0 6px rgba(124,106,247,0.5);
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transition: left 0.1s;
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pointer-events: none;
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}
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.zoom-label {
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min-width: 42px; height: 36px;
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display: flex; align-items: center; justify-content: center;
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font-size: 10px; font-weight: 700;
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color: var(--accent);
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font-family: 'JetBrains Mono', monospace;
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letter-spacing: 0.04em;
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border-left: 1px solid var(--node-border);
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padding: 0 8px;
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}
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.zoom-reset {
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height: 36px;
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display: flex; align-items: center; justify-content: center;
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background: transparent;
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border: none; border-left: 1px solid var(--node-border);
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cursor: pointer;
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| 673 |
-
color: var(--muted);
|
| 674 |
-
font-size: 9px; font-weight: 700;
|
| 675 |
-
font-family: 'JetBrains Mono', monospace;
|
| 676 |
-
letter-spacing: 0.06em;
|
| 677 |
-
padding: 0 10px;
|
| 678 |
-
transition: background 0.15s, color 0.15s;
|
| 679 |
-
text-transform: uppercase;
|
| 680 |
-
}
|
| 681 |
-
.zoom-reset:hover { background: rgba(78,205,196,0.12); color: var(--accent2); }
|
| 682 |
</style>
|
| 683 |
</head>
|
| 684 |
<body>
|
| 685 |
|
| 686 |
-
<!-- Top Bar -->
|
| 687 |
<div class="top-bar">
|
| 688 |
<span class="logo">MULTIMODAL EDGE</span>
|
| 689 |
<span class="sep">|</span>
|
| 690 |
<span class="sub">Node-Based Inference Canvas</span>
|
| 691 |
-
<span class="badge">v2.
|
| 692 |
</div>
|
| 693 |
|
| 694 |
-
<
|
| 695 |
-
<
|
| 696 |
-
|
| 697 |
-
<
|
| 698 |
-
|
| 699 |
-
|
| 700 |
-
|
| 701 |
-
|
| 702 |
-
|
| 703 |
-
|
| 704 |
-
<
|
| 705 |
-
|
| 706 |
-
<
|
| 707 |
-
|
| 708 |
-
|
| 709 |
-
<
|
| 710 |
-
|
| 711 |
-
<div>
|
| 712 |
-
<
|
| 713 |
-
|
| 714 |
-
|
| 715 |
-
|
| 716 |
-
|
| 717 |
-
|
| 718 |
-
|
| 719 |
-
|
| 720 |
-
|
| 721 |
-
<span>Click or drop image here</span>
|
| 722 |
-
<input type="file" id="fileInput" accept="image/*">
|
| 723 |
-
</div>
|
| 724 |
-
<img id="imgPreview" class="img-preview" />
|
| 725 |
</div>
|
|
|
|
| 726 |
</div>
|
| 727 |
-
<div class="port out" id="port-img-out" style="top:50%;transform:translateY(-50%);"></div>
|
| 728 |
</div>
|
|
|
|
|
|
|
| 729 |
|
| 730 |
-
|
| 731 |
-
|
| 732 |
-
|
| 733 |
-
|
| 734 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 735 |
</div>
|
| 736 |
-
<div class="
|
| 737 |
-
|
| 738 |
-
|
| 739 |
-
|
| 740 |
-
|
| 741 |
-
<option value="qwen_2b">Qwen3.5-2B</option>
|
| 742 |
-
<option value="qwen_vl">Qwen3-VL-2B-Instruct</option>
|
| 743 |
-
<option value="lfm_450">LFM2.5-VL-450M (LiquidAI)</option>
|
| 744 |
-
<option value="lfm_16">LFM2.5-VL-1.6B (LiquidAI)</option>
|
| 745 |
-
</select>
|
| 746 |
-
</div>
|
| 747 |
-
<div id="modelInfoBox" class="model-info-box"
|
| 748 |
-
style="background:rgba(255,200,80,0.07);border:1px solid rgba(255,200,80,0.3);">
|
| 749 |
-
<span class="model-badge q4b">QWEN 3.5 Β· 4B</span><br><br>
|
| 750 |
-
Qwen3.5 4B multimodal model by Alibaba Cloud.
|
| 751 |
-
Enhanced capacity over 2B β richer reasoning & better instruction following.
|
| 752 |
-
</div>
|
| 753 |
-
<div style="flex:1;"></div>
|
| 754 |
</div>
|
| 755 |
-
<div
|
| 756 |
</div>
|
|
|
|
|
|
|
| 757 |
|
| 758 |
-
|
| 759 |
-
|
| 760 |
-
|
| 761 |
-
|
| 762 |
-
|
| 763 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 764 |
</div>
|
| 765 |
-
<div
|
| 766 |
-
<
|
| 767 |
-
|
| 768 |
-
|
| 769 |
-
<option value="Query">Query</option>
|
| 770 |
-
<option value="Caption">Caption</option>
|
| 771 |
-
<option value="Point">Point</option>
|
| 772 |
-
<option value="Detect">Detect</option>
|
| 773 |
-
</select>
|
| 774 |
-
</div>
|
| 775 |
-
<div>
|
| 776 |
-
<label>Prompt Directive</label>
|
| 777 |
-
<textarea id="promptInput" rows="4"
|
| 778 |
-
placeholder="e.g., Count the total number of boats and describe the environment."></textarea>
|
| 779 |
-
</div>
|
| 780 |
-
<button class="run-btn" id="runBtn">
|
| 781 |
-
<span>Execute</span>
|
| 782 |
-
<span class="loader" id="btnLoader"></span>
|
| 783 |
-
</button>
|
| 784 |
</div>
|
| 785 |
-
<
|
|
|
|
|
|
|
|
|
|
| 786 |
</div>
|
|
|
|
|
|
|
| 787 |
|
| 788 |
-
|
| 789 |
-
|
| 790 |
-
|
| 791 |
-
|
| 792 |
-
|
| 793 |
-
|
| 794 |
-
|
| 795 |
-
|
| 796 |
-
|
| 797 |
-
|
| 798 |
-
</div>
|
| 799 |
</div>
|
|
|
|
| 800 |
|
| 801 |
-
|
| 802 |
-
|
| 803 |
-
|
| 804 |
-
|
| 805 |
-
|
| 806 |
-
|
| 807 |
-
|
| 808 |
-
|
| 809 |
-
|
| 810 |
-
|
| 811 |
-
|
| 812 |
-
|
| 813 |
-
|
| 814 |
-
</div>
|
| 815 |
</div>
|
| 816 |
</div>
|
| 817 |
</div>
|
| 818 |
-
|
| 819 |
-
</div><!-- /#world -->
|
| 820 |
-
</div><!-- /#viewport -->
|
| 821 |
-
|
| 822 |
-
<!-- ββ ZOOM BAR ββ -->
|
| 823 |
-
<div class="zoom-bar" id="zoomBar">
|
| 824 |
-
<!-- Zoom out -->
|
| 825 |
-
<button class="zoom-btn" id="zoomOut" title="Zoom Out">
|
| 826 |
-
<svg width="14" height="14" viewBox="0 0 14 14" fill="none"
|
| 827 |
-
stroke="currentColor" stroke-width="2" stroke-linecap="round">
|
| 828 |
-
<line x1="2" y1="7" x2="12" y2="7"/>
|
| 829 |
-
</svg>
|
| 830 |
-
</button>
|
| 831 |
-
|
| 832 |
-
<div class="zoom-divider"></div>
|
| 833 |
-
|
| 834 |
-
<!-- Slider track -->
|
| 835 |
-
<div class="zoom-track" id="zoomTrack">
|
| 836 |
-
<div class="zoom-track-bg">
|
| 837 |
-
<div class="zoom-track-fill" id="zoomFill"></div>
|
| 838 |
-
</div>
|
| 839 |
-
<div class="zoom-thumb" id="zoomThumb"></div>
|
| 840 |
</div>
|
| 841 |
|
| 842 |
-
<div class="
|
| 843 |
-
|
| 844 |
-
<!-- Zoom in -->
|
| 845 |
-
<button class="zoom-btn" id="zoomIn" title="Zoom In">
|
| 846 |
-
<svg width="14" height="14" viewBox="0 0 14 14" fill="none"
|
| 847 |
-
stroke="currentColor" stroke-width="2" stroke-linecap="round">
|
| 848 |
-
<line x1="7" y1="2" x2="7" y2="12"/>
|
| 849 |
-
<line x1="2" y1="7" x2="12" y2="7"/>
|
| 850 |
-
</svg>
|
| 851 |
-
</button>
|
| 852 |
-
|
| 853 |
-
<div class="zoom-divider"></div>
|
| 854 |
-
|
| 855 |
-
<!-- Percentage label -->
|
| 856 |
-
<div class="zoom-label" id="zoomLabel">100%</div>
|
| 857 |
-
|
| 858 |
-
<!-- Reset -->
|
| 859 |
-
<button class="zoom-reset" id="zoomReset" title="Reset Zoom">FIT</button>
|
| 860 |
</div>
|
| 861 |
|
| 862 |
<script>
|
| 863 |
-
// ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 864 |
-
// PAN + ZOOM ENGINE
|
| 865 |
-
// ββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββββββββ
|
| 866 |
-
const viewport = document.getElementById('viewport');
|
| 867 |
-
const world = document.getElementById('world');
|
| 868 |
-
|
| 869 |
-
const ZOOM_MIN = 0.25;
|
| 870 |
-
const ZOOM_MAX = 2.0;
|
| 871 |
-
const ZOOM_STEP = 0.1;
|
| 872 |
-
|
| 873 |
-
let scale = 1.0;
|
| 874 |
-
let panX = 0;
|
| 875 |
-
let panY = 0;
|
| 876 |
-
let isPanning = false;
|
| 877 |
-
let panStartX, panStartY, panOriginX, panOriginY;
|
| 878 |
-
|
| 879 |
-
function clamp(v, lo, hi) { return Math.min(Math.max(v, lo), hi); }
|
| 880 |
-
|
| 881 |
-
function applyTransform() {
|
| 882 |
-
world.style.transform = `translate(${panX}px, ${panY}px) scale(${scale})`;
|
| 883 |
-
updateZoomUI();
|
| 884 |
-
updateWires();
|
| 885 |
-
}
|
| 886 |
-
|
| 887 |
-
// Centre the canvas initially
|
| 888 |
-
function fitToView() {
|
| 889 |
-
const vw = viewport.clientWidth;
|
| 890 |
-
const vh = viewport.clientHeight;
|
| 891 |
-
scale = clamp(Math.min(vw / 1360, vh / 800), ZOOM_MIN, ZOOM_MAX);
|
| 892 |
-
panX = (vw - 1360 * scale) / 2;
|
| 893 |
-
panY = (vh - 800 * scale) / 2;
|
| 894 |
-
applyTransform();
|
| 895 |
-
}
|
| 896 |
-
|
| 897 |
-
// ββ Zoom toward a point ββ
|
| 898 |
-
function zoomAt(newScale, cx, cy) {
|
| 899 |
-
newScale = clamp(newScale, ZOOM_MIN, ZOOM_MAX);
|
| 900 |
-
const ratio = newScale / scale;
|
| 901 |
-
panX = cx - ratio * (cx - panX);
|
| 902 |
-
panY = cy - ratio * (cy - panY);
|
| 903 |
-
scale = newScale;
|
| 904 |
-
applyTransform();
|
| 905 |
-
}
|
| 906 |
-
|
| 907 |
-
// ββ Mouse wheel ββ
|
| 908 |
-
viewport.addEventListener('wheel', e => {
|
| 909 |
-
e.preventDefault();
|
| 910 |
-
const rect = viewport.getBoundingClientRect();
|
| 911 |
-
const cx = e.clientX - rect.left;
|
| 912 |
-
const cy = e.clientY - rect.top;
|
| 913 |
-
const delta = e.deltaY < 0 ? ZOOM_STEP : -ZOOM_STEP;
|
| 914 |
-
zoomAt(scale + delta, cx, cy);
|
| 915 |
-
}, { passive: false });
|
| 916 |
-
|
| 917 |
-
// ββ Middle-mouse / space-drag pan ββ
|
| 918 |
-
let spaceDown = false;
|
| 919 |
-
document.addEventListener('keydown', e => { if (e.code === 'Space') { spaceDown = true; viewport.style.cursor = 'grab'; } });
|
| 920 |
-
document.addEventListener('keyup', e => { if (e.code === 'Space') { spaceDown = false; viewport.style.cursor = 'default'; } });
|
| 921 |
-
|
| 922 |
-
viewport.addEventListener('mousedown', e => {
|
| 923 |
-
if (e.button === 1 || spaceDown) {
|
| 924 |
-
e.preventDefault();
|
| 925 |
-
isPanning = true;
|
| 926 |
-
panStartX = e.clientX; panStartY = e.clientY;
|
| 927 |
-
panOriginX = panX; panOriginY = panY;
|
| 928 |
-
viewport.style.cursor = 'grabbing';
|
| 929 |
-
}
|
| 930 |
-
});
|
| 931 |
-
window.addEventListener('mousemove', e => {
|
| 932 |
-
if (!isPanning) return;
|
| 933 |
-
panX = panOriginX + (e.clientX - panStartX);
|
| 934 |
-
panY = panOriginY + (e.clientY - panStartY);
|
| 935 |
-
applyTransform();
|
| 936 |
-
});
|
| 937 |
-
window.addEventListener('mouseup', e => {
|
| 938 |
-
if (isPanning) {
|
| 939 |
-
isPanning = false;
|
| 940 |
-
viewport.style.cursor = spaceDown ? 'grab' : 'default';
|
| 941 |
-
}
|
| 942 |
-
});
|
| 943 |
-
|
| 944 |
-
// ββ Touch pan / pinch ββ
|
| 945 |
-
let lastTouches = null;
|
| 946 |
-
viewport.addEventListener('touchstart', e => {
|
| 947 |
-
lastTouches = e.touches;
|
| 948 |
-
}, { passive: true });
|
| 949 |
-
viewport.addEventListener('touchmove', e => {
|
| 950 |
-
e.preventDefault();
|
| 951 |
-
if (e.touches.length === 1 && lastTouches?.length === 1) {
|
| 952 |
-
const dx = e.touches[0].clientX - lastTouches[0].clientX;
|
| 953 |
-
const dy = e.touches[0].clientY - lastTouches[0].clientY;
|
| 954 |
-
panX += dx; panY += dy;
|
| 955 |
-
applyTransform();
|
| 956 |
-
} else if (e.touches.length === 2 && lastTouches?.length === 2) {
|
| 957 |
-
const d0 = Math.hypot(lastTouches[0].clientX - lastTouches[1].clientX,
|
| 958 |
-
lastTouches[0].clientY - lastTouches[1].clientY);
|
| 959 |
-
const d1 = Math.hypot(e.touches[0].clientX - e.touches[1].clientX,
|
| 960 |
-
e.touches[0].clientY - e.touches[1].clientY);
|
| 961 |
-
const midX = (e.touches[0].clientX + e.touches[1].clientX) / 2;
|
| 962 |
-
const midY = (e.touches[0].clientY + e.touches[1].clientY) / 2;
|
| 963 |
-
const rect = viewport.getBoundingClientRect();
|
| 964 |
-
zoomAt(scale * (d1 / d0), midX - rect.left, midY - rect.top);
|
| 965 |
-
}
|
| 966 |
-
lastTouches = e.touches;
|
| 967 |
-
}, { passive: false });
|
| 968 |
-
|
| 969 |
-
// ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 970 |
-
// ZOOM BAR UI
|
| 971 |
-
// ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 972 |
-
const zoomInBtn = document.getElementById('zoomIn');
|
| 973 |
-
const zoomOutBtn = document.getElementById('zoomOut');
|
| 974 |
-
const zoomReset = document.getElementById('zoomReset');
|
| 975 |
-
const zoomLabel = document.getElementById('zoomLabel');
|
| 976 |
-
const zoomFill = document.getElementById('zoomFill');
|
| 977 |
-
const zoomThumb = document.getElementById('zoomThumb');
|
| 978 |
-
const zoomTrack = document.getElementById('zoomTrack');
|
| 979 |
-
|
| 980 |
-
function updateZoomUI() {
|
| 981 |
-
const pct = Math.round(scale * 100);
|
| 982 |
-
zoomLabel.textContent = `${pct}%`;
|
| 983 |
-
|
| 984 |
-
// Map scale [ZOOM_MIN β¦ ZOOM_MAX] β [0 β¦ 100]
|
| 985 |
-
const t = (scale - ZOOM_MIN) / (ZOOM_MAX - ZOOM_MIN);
|
| 986 |
-
const trackW = zoomTrack.getBoundingClientRect().width || 100;
|
| 987 |
-
const thumbPx = t * (trackW - 20) + 10; // 10px padding each side
|
| 988 |
-
|
| 989 |
-
zoomFill.style.width = `${t * 100}%`;
|
| 990 |
-
zoomThumb.style.left = `${thumbPx}px`;
|
| 991 |
-
}
|
| 992 |
-
|
| 993 |
-
// Zoom in / out buttons
|
| 994 |
-
zoomInBtn.addEventListener('click', () => {
|
| 995 |
-
const cx = viewport.clientWidth / 2;
|
| 996 |
-
const cy = viewport.clientHeight / 2;
|
| 997 |
-
zoomAt(scale + ZOOM_STEP, cx, cy);
|
| 998 |
-
});
|
| 999 |
-
zoomOutBtn.addEventListener('click', () => {
|
| 1000 |
-
const cx = viewport.clientWidth / 2;
|
| 1001 |
-
const cy = viewport.clientHeight / 2;
|
| 1002 |
-
zoomAt(scale - ZOOM_STEP, cx, cy);
|
| 1003 |
-
});
|
| 1004 |
-
|
| 1005 |
-
// Reset / fit
|
| 1006 |
-
zoomReset.addEventListener('click', fitToView);
|
| 1007 |
-
|
| 1008 |
-
// Drag on the slider track
|
| 1009 |
-
let sliderDragging = false;
|
| 1010 |
-
zoomTrack.addEventListener('mousedown', e => {
|
| 1011 |
-
sliderDragging = true;
|
| 1012 |
-
handleSliderMove(e);
|
| 1013 |
-
e.stopPropagation();
|
| 1014 |
-
});
|
| 1015 |
-
window.addEventListener('mousemove', e => {
|
| 1016 |
-
if (!sliderDragging) return;
|
| 1017 |
-
handleSliderMove(e);
|
| 1018 |
-
});
|
| 1019 |
-
window.addEventListener('mouseup', () => { sliderDragging = false; });
|
| 1020 |
-
|
| 1021 |
-
function handleSliderMove(e) {
|
| 1022 |
-
const rect = zoomTrack.getBoundingClientRect();
|
| 1023 |
-
const t = clamp((e.clientX - rect.left - 10) / (rect.width - 20), 0, 1);
|
| 1024 |
-
const newScale = ZOOM_MIN + t * (ZOOM_MAX - ZOOM_MIN);
|
| 1025 |
-
const cx = viewport.clientWidth / 2;
|
| 1026 |
-
const cy = viewport.clientHeight / 2;
|
| 1027 |
-
zoomAt(newScale, cx, cy);
|
| 1028 |
-
}
|
| 1029 |
-
|
| 1030 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1031 |
-
// WIRE DRAWING
|
| 1032 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
|
|
|
| 1033 |
function portCenter(id) {
|
| 1034 |
const el = document.getElementById(id);
|
| 1035 |
if (!el) return { x: 0, y: 0 };
|
| 1036 |
-
|
| 1037 |
-
|
| 1038 |
-
while (cur && cur !== world) {
|
| 1039 |
-
ox += cur.offsetLeft; oy += cur.offsetTop;
|
| 1040 |
-
cur = cur.offsetParent;
|
| 1041 |
-
}
|
| 1042 |
return {
|
| 1043 |
-
x:
|
| 1044 |
-
y:
|
| 1045 |
};
|
| 1046 |
}
|
| 1047 |
|
|
@@ -1051,51 +798,45 @@ function bezier(p1, p2) {
|
|
| 1051 |
}
|
| 1052 |
|
| 1053 |
function updateWires() {
|
| 1054 |
-
const
|
| 1055 |
['wire-img-task', 'port-img-out', 'port-task-in'],
|
| 1056 |
['wire-model-task', 'port-model-out', 'port-task-in'],
|
| 1057 |
['wire-task-out', 'port-task-out', 'port-out-in'],
|
| 1058 |
['wire-task-gnd', 'port-task-out', 'port-gnd-in'],
|
| 1059 |
];
|
| 1060 |
-
for (const [id, from, to] of
|
| 1061 |
const el = document.getElementById(id);
|
| 1062 |
if (el) el.setAttribute('d', bezier(portCenter(from), portCenter(to)));
|
| 1063 |
}
|
| 1064 |
}
|
| 1065 |
|
| 1066 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1067 |
-
//
|
| 1068 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1069 |
document.querySelectorAll('.node').forEach(node => {
|
| 1070 |
const header = node.querySelector('.node-header');
|
| 1071 |
-
let
|
| 1072 |
-
|
| 1073 |
header.addEventListener('mousedown', e => {
|
| 1074 |
-
|
| 1075 |
-
sx = e.clientX; sy = e.clientY;
|
| 1076 |
il = parseInt(node.style.left) || 0;
|
| 1077 |
it = parseInt(node.style.top) || 0;
|
| 1078 |
-
node.style.zIndex = 100;
|
| 1079 |
-
e.preventDefault();
|
| 1080 |
-
e.stopPropagation(); // don't trigger pan
|
| 1081 |
});
|
| 1082 |
-
|
| 1083 |
-
if (!
|
| 1084 |
-
|
| 1085 |
-
node.style.
|
| 1086 |
-
node.style.top = `${it + (e.clientY - sy) / scale}px`;
|
| 1087 |
updateWires();
|
| 1088 |
});
|
| 1089 |
-
|
| 1090 |
-
if (
|
| 1091 |
});
|
| 1092 |
});
|
| 1093 |
|
| 1094 |
-
|
| 1095 |
-
|
| 1096 |
-
|
| 1097 |
-
|
| 1098 |
-
requestAnimationFrame(() => { fitToView(); });
|
| 1099 |
|
| 1100 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 1101 |
// FILE UPLOAD
|
|
@@ -1138,40 +879,52 @@ const MODEL_INFO = {
|
|
| 1138 |
html: `<span class="model-badge q4b">QWEN 3.5 Β· 4B</span><br><br>
|
| 1139 |
Qwen3.5 4B multimodal model by Alibaba Cloud.
|
| 1140 |
Enhanced capacity over 2B β richer reasoning & better instruction following.`,
|
| 1141 |
-
bg: 'rgba(255,200,80,0.07)',
|
|
|
|
| 1142 |
},
|
| 1143 |
qwen_2b: {
|
| 1144 |
html: `<span class="model-badge q2b">QWEN 3.5 Β· 2B</span><br><br>
|
| 1145 |
Qwen3.5 2B multimodal model by Alibaba Cloud.
|
| 1146 |
Lightweight & fast β ideal for quick Query, Caption, Point & Detect tasks.`,
|
| 1147 |
-
bg: 'rgba(124,106,247,0.07)',
|
|
|
|
| 1148 |
},
|
| 1149 |
qwen_vl: {
|
| 1150 |
html: `<span class="model-badge qvl">QWEN3-VL Β· 2B</span><br><br>
|
| 1151 |
Qwen3-VL-2B-Instruct β dedicated vision-language model by Alibaba Cloud.
|
| 1152 |
Strong spatial grounding, OCR & instruction-following.`,
|
| 1153 |
-
bg: 'rgba(255,150,50,0.07)',
|
|
|
|
| 1154 |
},
|
| 1155 |
lfm_450: {
|
| 1156 |
html: `<span class="model-badge lfm450">LFM Β· 450M</span><br><br>
|
| 1157 |
LFM2.5-VL 450M by LiquidAI. Ultra-lightweight edge model
|
| 1158 |
with solid grounding capabilities.`,
|
| 1159 |
-
bg: 'rgba(78,205,196,0.07)',
|
|
|
|
| 1160 |
},
|
| 1161 |
lfm_16: {
|
| 1162 |
html: `<span class="model-badge lfm16">LFM Β· 1.6B</span><br><br>
|
| 1163 |
LFM2.5-VL 1.6B by LiquidAI. Larger liquid-state model offering
|
| 1164 |
enhanced reasoning & richer visual understanding.`,
|
| 1165 |
-
bg: 'rgba(107,203,119,0.07)',
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1166 |
},
|
| 1167 |
};
|
| 1168 |
|
| 1169 |
modelSelect.onchange = () => {
|
| 1170 |
const info = MODEL_INFO[modelSelect.value];
|
| 1171 |
if (!info) return;
|
| 1172 |
-
modelInfoBox.innerHTML
|
| 1173 |
-
modelInfoBox.style.background
|
| 1174 |
-
modelInfoBox.style.border
|
| 1175 |
};
|
| 1176 |
|
| 1177 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
|
@@ -1252,6 +1005,7 @@ function drawGrounding(imgSrc, jsonText) {
|
|
| 1252 |
gCtx.font = `bold ${fs}px JetBrains Mono, monospace`;
|
| 1253 |
|
| 1254 |
const items = Array.isArray(parsed) ? parsed : [parsed];
|
|
|
|
| 1255 |
items.forEach((item, i) => {
|
| 1256 |
const col = PALETTE[i % PALETTE.length];
|
| 1257 |
|
|
@@ -1264,11 +1018,17 @@ function drawGrounding(imgSrc, jsonText) {
|
|
| 1264 |
|
| 1265 |
if (bbox) {
|
| 1266 |
let [x1,y1,x2,y2] = bbox;
|
| 1267 |
-
if (x1 <= 1 && y1 <= 1 && x2 <= 1 && y2 <= 1) {
|
| 1268 |
-
|
|
|
|
|
|
|
| 1269 |
const lbl = item?.label || `${i+1}`;
|
| 1270 |
-
|
| 1271 |
-
gCtx.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1272 |
const tw = gCtx.measureText(lbl).width;
|
| 1273 |
const ph = fs*1.4, pw = tw+10;
|
| 1274 |
const lx = x1, ly = Math.max(0, y1-ph);
|
|
@@ -1291,13 +1051,16 @@ function drawGrounding(imgSrc, jsonText) {
|
|
| 1291 |
if (x <= 1 && y <= 1) { x*=W; y*=H; }
|
| 1292 |
const r = Math.max(8, W/60);
|
| 1293 |
const lbl = item?.label || `${i+1}`;
|
|
|
|
| 1294 |
gCtx.beginPath();
|
| 1295 |
gCtx.arc(x, y, r*1.6, 0, Math.PI*2);
|
| 1296 |
gCtx.fillStyle = hexToRgba(col, 0.15); gCtx.fill();
|
|
|
|
| 1297 |
gCtx.beginPath();
|
| 1298 |
gCtx.arc(x, y, r, 0, Math.PI*2);
|
| 1299 |
-
gCtx.fillStyle
|
| 1300 |
gCtx.strokeStyle = '#fff'; gCtx.stroke();
|
|
|
|
| 1301 |
gCtx.fillStyle = '#fff';
|
| 1302 |
gCtx.fillText(lbl, x+r+4, y+fs*0.4);
|
| 1303 |
}
|
|
|
|
| 33 |
else torch.float16
|
| 34 |
)
|
| 35 |
|
| 36 |
+
QWEN_4B_MODEL_NAME = "Qwen/Qwen3.5-4B"
|
| 37 |
+
QWEN_2B_MODEL_NAME = "Qwen/Qwen3.5-2B"
|
| 38 |
+
QWEN_VL_MODEL_NAME = "Qwen/Qwen3-VL-2B-Instruct"
|
| 39 |
+
LFM_450_MODEL_NAME = "LiquidAI/LFM2.5-VL-450M"
|
| 40 |
+
LFM_16_MODEL_NAME = "LiquidAI/LFM2.5-VL-1.6B"
|
| 41 |
+
QWEN_UNREDACTED_NAME = "prithivMLmods/Qwen3.5-2B-Unredacted-MAX"
|
| 42 |
|
| 43 |
# ββ Qwen3.5-4B ββββββββββββββββββββββββββββββββββββββββββ
|
| 44 |
print(f"Loading Qwen3.5-4B model: {QWEN_4B_MODEL_NAME} on {DEVICE}...")
|
|
|
|
| 113 |
lfm_16_model = None
|
| 114 |
lfm_16_processor = None
|
| 115 |
|
| 116 |
+
# ββ Qwen3.5-2B-Unredacted-MAX βββββββββββββββββββββββββββ
|
| 117 |
+
print(f"Loading Qwen3.5-2B-Unredacted-MAX model: {QWEN_UNREDACTED_NAME} on {DEVICE}...")
|
| 118 |
+
try:
|
| 119 |
+
qwen_unredacted_model = Qwen3_5ForConditionalGeneration.from_pretrained(
|
| 120 |
+
QWEN_UNREDACTED_NAME, torch_dtype=DTYPE, device_map=DEVICE,
|
| 121 |
+
).eval()
|
| 122 |
+
qwen_unredacted_processor = AutoProcessor.from_pretrained(QWEN_UNREDACTED_NAME)
|
| 123 |
+
print("Qwen3.5-2B-Unredacted-MAX model loaded successfully.")
|
| 124 |
+
except Exception as e:
|
| 125 |
+
print(f"Warning: Qwen3.5-2B-Unredacted-MAX model loading failed. Error: {e}")
|
| 126 |
+
qwen_unredacted_model = None
|
| 127 |
+
qwen_unredacted_processor = None
|
| 128 |
+
|
| 129 |
|
| 130 |
# --- Utility Functions ---
|
| 131 |
def safe_parse_json(text: str):
|
|
|
|
| 165 |
yield f"data: {json.dumps({'chunk': '[Error] Qwen3.5-4B model not loaded.'})}\n\n"
|
| 166 |
yield "data: [DONE]\n\n"
|
| 167 |
return
|
| 168 |
+
|
| 169 |
messages = [{"role": "user", "content": [
|
| 170 |
{"type": "image", "image": image},
|
| 171 |
{"type": "text", "text": full_prompt},
|
|
|
|
| 197 |
yield f"data: {json.dumps({'chunk': '[Error] Qwen3.5-2B model not loaded.'})}\n\n"
|
| 198 |
yield "data: [DONE]\n\n"
|
| 199 |
return
|
| 200 |
+
|
| 201 |
messages = [{"role": "user", "content": [
|
| 202 |
{"type": "image", "image": image},
|
| 203 |
{"type": "text", "text": full_prompt},
|
|
|
|
| 229 |
yield f"data: {json.dumps({'chunk': '[Error] Qwen3-VL model not loaded.'})}\n\n"
|
| 230 |
yield "data: [DONE]\n\n"
|
| 231 |
return
|
| 232 |
+
|
| 233 |
messages = [{"role": "user", "content": [
|
| 234 |
{"type": "image", "image": image},
|
| 235 |
{"type": "text", "text": full_prompt},
|
|
|
|
| 261 |
yield f"data: {json.dumps({'chunk': '[Error] LFM-450M model not loaded.'})}\n\n"
|
| 262 |
yield "data: [DONE]\n\n"
|
| 263 |
return
|
| 264 |
+
|
| 265 |
conversation = [{"role": "user", "content": [
|
| 266 |
{"type": "image", "image": image},
|
| 267 |
{"type": "text", "text": full_prompt},
|
|
|
|
| 290 |
yield f"data: {json.dumps({'chunk': '[Error] LFM-1.6B model not loaded.'})}\n\n"
|
| 291 |
yield "data: [DONE]\n\n"
|
| 292 |
return
|
| 293 |
+
|
| 294 |
conversation = [{"role": "user", "content": [
|
| 295 |
{"type": "image", "image": image},
|
| 296 |
{"type": "text", "text": full_prompt},
|
|
|
|
| 313 |
yield f"data: {json.dumps({'chunk': tok})}\n\n"
|
| 314 |
thread.join()
|
| 315 |
|
| 316 |
+
# ββ Qwen3.5-2B-Unredacted-MAX βββββββββββββββββββββββ
|
| 317 |
+
elif model_id == "qwen_unredacted":
|
| 318 |
+
if qwen_unredacted_model is None or qwen_unredacted_processor is None:
|
| 319 |
+
yield f"data: {json.dumps({'chunk': '[Error] Qwen3.5-2B-Unredacted-MAX model not loaded.'})}\n\n"
|
| 320 |
+
yield "data: [DONE]\n\n"
|
| 321 |
+
return
|
| 322 |
+
|
| 323 |
+
messages = [{"role": "user", "content": [
|
| 324 |
+
{"type": "image", "image": image},
|
| 325 |
+
{"type": "text", "text": full_prompt},
|
| 326 |
+
]}]
|
| 327 |
+
text_input = qwen_unredacted_processor.apply_chat_template(
|
| 328 |
+
messages, tokenize=False, add_generation_prompt=True
|
| 329 |
+
)
|
| 330 |
+
inputs = qwen_unredacted_processor(
|
| 331 |
+
text=[text_input], images=[image], return_tensors="pt", padding=True
|
| 332 |
+
).to(qwen_unredacted_model.device)
|
| 333 |
+
streamer = TextIteratorStreamer(
|
| 334 |
+
qwen_unredacted_processor.tokenizer,
|
| 335 |
+
skip_prompt=True, skip_special_tokens=True, timeout=120,
|
| 336 |
+
)
|
| 337 |
+
thread = threading.Thread(
|
| 338 |
+
target=qwen_unredacted_model.generate,
|
| 339 |
+
kwargs=dict(**inputs, streamer=streamer, max_new_tokens=1024,
|
| 340 |
+
use_cache=True, temperature=1.5, min_p=0.1),
|
| 341 |
+
)
|
| 342 |
+
thread.start()
|
| 343 |
+
for tok in streamer:
|
| 344 |
+
if tok:
|
| 345 |
+
yield f"data: {json.dumps({'chunk': tok})}\n\n"
|
| 346 |
+
thread.join()
|
| 347 |
+
|
| 348 |
yield "data: [DONE]\n\n"
|
| 349 |
|
| 350 |
|
|
|
|
| 399 |
* { box-sizing: border-box; margin: 0; padding: 0; }
|
| 400 |
|
| 401 |
html, body {
|
| 402 |
+
min-height: 100%;
|
|
|
|
| 403 |
background: var(--bg);
|
| 404 |
color: var(--text);
|
| 405 |
font-family: 'JetBrains Mono', monospace;
|
| 406 |
}
|
| 407 |
|
| 408 |
+
body {
|
| 409 |
+
background-image:
|
| 410 |
+
radial-gradient(circle at 20% 50%, rgba(124,106,247,0.04) 0%, transparent 50%),
|
| 411 |
+
radial-gradient(circle at 80% 20%, rgba(78,205,196,0.04) 0%, transparent 50%),
|
| 412 |
+
linear-gradient(var(--grid) 1px, transparent 1px),
|
| 413 |
+
linear-gradient(90deg, var(--grid) 1px, transparent 1px);
|
| 414 |
+
background-size: 100% 100%, 100% 100%, 28px 28px, 28px 28px;
|
| 415 |
+
overflow-x: auto;
|
| 416 |
+
overflow-y: auto;
|
| 417 |
+
}
|
| 418 |
+
|
| 419 |
/* ββ Top Bar ββ */
|
| 420 |
.top-bar {
|
| 421 |
+
position: sticky; top: 0; left: 0; right: 0;
|
| 422 |
+
height: 50px;
|
| 423 |
+
background: rgba(13,13,15,0.95);
|
| 424 |
border-bottom: 1px solid var(--node-border);
|
| 425 |
+
display: flex; align-items: center; padding: 0 28px;
|
| 426 |
+
gap: 16px; z-index: 1000;
|
| 427 |
backdrop-filter: blur(12px);
|
| 428 |
}
|
| 429 |
+
.top-bar .logo { font-size: 15px; font-weight: 700; color: var(--accent); letter-spacing: 0.05em; }
|
| 430 |
+
.top-bar .sep { color: var(--node-border); font-size: 15px; }
|
| 431 |
+
.top-bar .sub { font-size: 13px; color: var(--muted); }
|
| 432 |
.top-bar .badge {
|
| 433 |
margin-left: auto;
|
| 434 |
background: rgba(124,106,247,0.15);
|
| 435 |
border: 1px solid rgba(124,106,247,0.3);
|
| 436 |
+
padding: 4px 14px; border-radius: 20px;
|
| 437 |
+
font-size: 11px; color: var(--accent);
|
| 438 |
}
|
| 439 |
|
| 440 |
+
/* ββ Canvas ββ */
|
| 441 |
+
#canvas {
|
| 442 |
+
position: relative;
|
| 443 |
+
width: 1560px;
|
| 444 |
+
min-height: calc(100vh - 50px);
|
| 445 |
+
height: 1060px;
|
| 446 |
+
margin: 0 auto;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 447 |
}
|
| 448 |
|
| 449 |
svg.wires {
|
|
|
|
| 466 |
/* ββ Nodes ββ */
|
| 467 |
.node {
|
| 468 |
position: absolute;
|
| 469 |
+
width: 340px;
|
| 470 |
background: var(--node-bg);
|
| 471 |
border: 1px solid var(--node-border);
|
| 472 |
+
border-radius: 11px;
|
| 473 |
+
box-shadow: 0 10px 34px rgba(0,0,0,0.5);
|
| 474 |
z-index: 10;
|
| 475 |
display: flex; flex-direction: column;
|
| 476 |
transition: box-shadow 0.2s;
|
| 477 |
}
|
| 478 |
.node:hover {
|
| 479 |
+
box-shadow: 0 10px 34px rgba(0,0,0,0.5), 0 0 0 1px rgba(124,106,247,0.3);
|
| 480 |
}
|
| 481 |
+
.node.fixed-height { height: 390px; }
|
| 482 |
|
| 483 |
.node-header {
|
| 484 |
background: var(--node-header);
|
| 485 |
+
padding: 9px 14px;
|
| 486 |
border-bottom: 1px solid var(--node-border);
|
| 487 |
+
border-radius: 11px 11px 0 0;
|
| 488 |
+
font-size: 13px; font-weight: 700;
|
| 489 |
cursor: grab;
|
| 490 |
display: flex; justify-content: space-between; align-items: center;
|
| 491 |
flex-shrink: 0;
|
|
|
|
| 493 |
}
|
| 494 |
.node-header:active { cursor: grabbing; }
|
| 495 |
.node-header .id {
|
| 496 |
+
font-size: 11px; color: var(--muted);
|
| 497 |
background: rgba(255,255,255,0.04);
|
| 498 |
+
padding: 3px 9px; border-radius: 5px;
|
| 499 |
}
|
| 500 |
|
| 501 |
.node-body {
|
| 502 |
+
padding: 13px;
|
| 503 |
+
display: flex; flex-direction: column; gap: 10px;
|
| 504 |
flex: 1; overflow: hidden;
|
| 505 |
}
|
| 506 |
|
| 507 |
/* ββ Ports ββ */
|
| 508 |
.port {
|
| 509 |
position: absolute;
|
| 510 |
+
width: 13px; height: 13px;
|
| 511 |
background: var(--node-bg);
|
| 512 |
border: 2px solid var(--port);
|
| 513 |
border-radius: 50%; z-index: 30;
|
| 514 |
}
|
| 515 |
+
.port.out { right: -7px; }
|
| 516 |
+
.port.in { left: -7px; }
|
| 517 |
|
| 518 |
/* ββ Labels ββ */
|
| 519 |
label {
|
| 520 |
+
font-size: 11px; color: var(--muted);
|
| 521 |
+
font-weight: 600; display: block; margin-bottom: 4px;
|
| 522 |
letter-spacing: 0.07em; text-transform: uppercase;
|
| 523 |
}
|
| 524 |
|
|
|
|
| 526 |
|
| 527 |
.file-upload {
|
| 528 |
border: 1.5px dashed var(--node-border);
|
| 529 |
+
border-radius: 8px; padding: 14px 12px;
|
| 530 |
text-align: center; cursor: pointer;
|
| 531 |
+
font-size: 12px; color: var(--muted);
|
| 532 |
transition: border-color 0.2s, background 0.2s;
|
| 533 |
background: rgba(255,255,255,0.01);
|
| 534 |
+
display: flex; flex-direction: column; align-items: center; gap: 6px;
|
| 535 |
}
|
| 536 |
.file-upload:hover { border-color: var(--accent); background: rgba(124,106,247,0.04); }
|
| 537 |
.file-upload svg { opacity: 0.5; transition: opacity 0.2s; }
|
| 538 |
.file-upload:hover svg { opacity: 0.9; }
|
| 539 |
|
| 540 |
.img-preview {
|
| 541 |
+
width: 100%; height: 200px;
|
| 542 |
+
object-fit: contain; border-radius: 6px;
|
| 543 |
display: none; background: #000;
|
| 544 |
border: 1px solid var(--node-border);
|
| 545 |
}
|
|
|
|
| 548 |
width: 100%;
|
| 549 |
background: rgba(0,0,0,0.3);
|
| 550 |
border: 1px solid var(--node-border);
|
| 551 |
+
color: var(--text); padding: 8px 11px;
|
| 552 |
+
border-radius: 6px; outline: none;
|
| 553 |
+
font-size: 12px; font-family: 'JetBrains Mono', monospace;
|
| 554 |
resize: none; transition: border-color 0.2s;
|
| 555 |
}
|
| 556 |
select:focus, textarea:focus { border-color: var(--accent); }
|
|
|
|
| 559 |
button.run-btn {
|
| 560 |
background: linear-gradient(135deg, var(--accent), #9b59b6);
|
| 561 |
color: #fff; border: none;
|
| 562 |
+
padding: 10px; border-radius: 7px;
|
| 563 |
+
font-weight: 700; font-size: 13px;
|
| 564 |
font-family: 'JetBrains Mono', monospace;
|
| 565 |
cursor: pointer;
|
| 566 |
transition: opacity 0.2s, transform 0.1s;
|
| 567 |
+
display: flex; justify-content: center; align-items: center; gap: 10px;
|
| 568 |
letter-spacing: 0.04em; flex-shrink: 0;
|
| 569 |
}
|
| 570 |
button.run-btn:hover { opacity: 0.9; }
|
|
|
|
| 574 |
.output-box {
|
| 575 |
background: rgba(0,0,0,0.4);
|
| 576 |
border: 1px solid var(--node-border);
|
| 577 |
+
border-radius: 6px; padding: 12px;
|
| 578 |
flex: 1; overflow-y: auto;
|
| 579 |
+
font-size: 12px; line-height: 1.65;
|
| 580 |
color: #c8c8e0; white-space: pre-wrap;
|
| 581 |
user-select: text;
|
| 582 |
font-family: 'JetBrains Mono', monospace;
|
|
|
|
| 586 |
.ground-canvas-wrap {
|
| 587 |
position: relative; flex: 1;
|
| 588 |
border: 1px solid var(--node-border);
|
| 589 |
+
border-radius: 6px; overflow: hidden;
|
| 590 |
background: #000; min-height: 0;
|
| 591 |
}
|
| 592 |
.ground-canvas-wrap canvas {
|
|
|
|
| 596 |
.ground-placeholder {
|
| 597 |
position: absolute; inset: 0;
|
| 598 |
display: flex; align-items: center; justify-content: center;
|
| 599 |
+
font-size: 12px; color: var(--muted); text-align: center; padding: 12px;
|
| 600 |
}
|
| 601 |
|
| 602 |
.loader {
|
| 603 |
+
width: 13px; height: 13px;
|
| 604 |
border: 2px solid rgba(255,255,255,0.3);
|
| 605 |
border-top-color: #fff; border-radius: 50%;
|
| 606 |
animation: spin 0.7s linear infinite;
|
|
|
|
| 609 |
@keyframes spin { to { transform: rotate(360deg); } }
|
| 610 |
|
| 611 |
.status-dot {
|
| 612 |
+
width: 7px; height: 7px; border-radius: 50%;
|
| 613 |
+
background: var(--muted); display: inline-block; margin-right: 7px;
|
| 614 |
+
}
|
| 615 |
+
.status-dot.active {
|
| 616 |
+
background: var(--accent2);
|
| 617 |
+
box-shadow: 0 0 6px var(--accent2);
|
| 618 |
}
|
|
|
|
| 619 |
|
| 620 |
/* ββ Model badges ββ */
|
| 621 |
.model-badge {
|
| 622 |
+
display: inline-block; padding: 3px 9px;
|
| 623 |
+
border-radius: 5px; font-size: 10px; font-weight: 700;
|
| 624 |
letter-spacing: 0.06em; text-transform: uppercase;
|
| 625 |
}
|
| 626 |
.model-badge.q4b { background: rgba(255,200,80,0.15); color: #ffc850; border: 1px solid rgba(255,200,80,0.35); }
|
|
|
|
| 628 |
.model-badge.qvl { background: rgba(255,150,50,0.15); color: #ff9632; border: 1px solid rgba(255,150,50,0.35); }
|
| 629 |
.model-badge.lfm450 { background: rgba(78,205,196,0.15); color: var(--accent2); border: 1px solid rgba(78,205,196,0.3); }
|
| 630 |
.model-badge.lfm16 { background: rgba(107,203,119,0.15); color: #6bcb77; border: 1px solid rgba(107,203,119,0.35); }
|
| 631 |
+
.model-badge.qunred { background: rgba(255,80,160,0.15); color: #ff50a0; border: 1px solid rgba(255,80,160,0.35); }
|
| 632 |
|
| 633 |
.model-info-box {
|
| 634 |
+
border-radius: 7px; padding: 11px;
|
| 635 |
+
font-size: 11px; color: var(--muted); line-height: 1.6;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 636 |
flex-shrink: 0;
|
| 637 |
}
|
|
|
|
|
|
|
| 638 |
|
| 639 |
+
.canvas-footer { height: 44px; }
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 640 |
</style>
|
| 641 |
</head>
|
| 642 |
<body>
|
| 643 |
|
|
|
|
| 644 |
<div class="top-bar">
|
| 645 |
<span class="logo">MULTIMODAL EDGE</span>
|
| 646 |
<span class="sep">|</span>
|
| 647 |
<span class="sub">Node-Based Inference Canvas</span>
|
| 648 |
+
<span class="badge">v2.4 β HEXA MODEL</span>
|
| 649 |
</div>
|
| 650 |
|
| 651 |
+
<div id="canvas">
|
| 652 |
+
<svg class="wires">
|
| 653 |
+
<path id="wire-img-task" class="wire" />
|
| 654 |
+
<path id="wire-model-task" class="wire" />
|
| 655 |
+
<path id="wire-task-out" class="wire" />
|
| 656 |
+
<path id="wire-task-gnd" class="wire" />
|
| 657 |
+
</svg>
|
| 658 |
+
|
| 659 |
+
<!-- βββ ID 01 : Image Input βββ -->
|
| 660 |
+
<div class="node fixed-height" id="node-img" style="left:48px; top:60px;">
|
| 661 |
+
<div class="node-header">
|
| 662 |
+
<span><span class="status-dot" id="dot-img"></span>Input Image</span>
|
| 663 |
+
<span class="id">ID: 01</span>
|
| 664 |
+
</div>
|
| 665 |
+
<div class="node-body">
|
| 666 |
+
<div>
|
| 667 |
+
<label>Upload Image</label>
|
| 668 |
+
<div class="file-upload" id="dropZone">
|
| 669 |
+
<svg width="34" height="34" viewBox="0 0 24 24" fill="none"
|
| 670 |
+
stroke="#7c6af7" stroke-width="1.5"
|
| 671 |
+
stroke-linecap="round" stroke-linejoin="round">
|
| 672 |
+
<rect x="3" y="3" width="18" height="18" rx="2" ry="2"/>
|
| 673 |
+
<circle cx="8.5" cy="8.5" r="1.5"/>
|
| 674 |
+
<polyline points="21 15 16 10 5 21"/>
|
| 675 |
+
</svg>
|
| 676 |
+
<span>Click or drop image here</span>
|
| 677 |
+
<input type="file" id="fileInput" accept="image/*">
|
|
|
|
|
|
|
|
|
|
|
|
|
| 678 |
</div>
|
| 679 |
+
<img id="imgPreview" class="img-preview" />
|
| 680 |
</div>
|
|
|
|
| 681 |
</div>
|
| 682 |
+
<div class="port out" id="port-img-out" style="top:50%;transform:translateY(-50%);"></div>
|
| 683 |
+
</div>
|
| 684 |
|
| 685 |
+
<!-- βββ ID 02 : Model Selector βββ -->
|
| 686 |
+
<div class="node fixed-height" id="node-model" style="left:48px; top:472px;">
|
| 687 |
+
<div class="node-header">
|
| 688 |
+
<span><span class="status-dot" id="dot-model"></span>Model Selector</span>
|
| 689 |
+
<span class="id">ID: 02</span>
|
| 690 |
+
</div>
|
| 691 |
+
<div class="node-body">
|
| 692 |
+
<div>
|
| 693 |
+
<label>Active Model</label>
|
| 694 |
+
<select id="modelSelect">
|
| 695 |
+
<option value="qwen_4b">Qwen3.5-4B</option>
|
| 696 |
+
<option value="qwen_2b">Qwen3.5-2B</option>
|
| 697 |
+
<option value="qwen_vl">Qwen3-VL-2B-Instruct</option>
|
| 698 |
+
<option value="lfm_450">LFM2.5-VL-450M (LiquidAI)</option>
|
| 699 |
+
<option value="lfm_16">LFM2.5-VL-1.6B (LiquidAI)</option>
|
| 700 |
+
<option value="qwen_unredacted">Qwen3.5-2B-Unredacted-MAX</option>
|
| 701 |
+
</select>
|
| 702 |
</div>
|
| 703 |
+
<div id="modelInfoBox" class="model-info-box"
|
| 704 |
+
style="background:rgba(255,200,80,0.07);border:1px solid rgba(255,200,80,0.3);">
|
| 705 |
+
<span class="model-badge q4b">QWEN 3.5 Β· 4B</span><br><br>
|
| 706 |
+
Qwen3.5 4B multimodal model by Alibaba Cloud.
|
| 707 |
+
Enhanced capacity over 2B β richer reasoning, better instruction following.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 708 |
</div>
|
| 709 |
+
<div style="flex:1;"></div>
|
| 710 |
</div>
|
| 711 |
+
<div class="port out" id="port-model-out" style="top:50%;transform:translateY(-50%);"></div>
|
| 712 |
+
</div>
|
| 713 |
|
| 714 |
+
<!-- βββ ID 03 : Task Config βββ -->
|
| 715 |
+
<div class="node fixed-height" id="node-task" style="left:490px; top:60px;">
|
| 716 |
+
<div class="port in" id="port-task-in" style="top:50%;transform:translateY(-50%);"></div>
|
| 717 |
+
<div class="node-header">
|
| 718 |
+
<span><span class="status-dot" id="dot-task"></span>Task Config</span>
|
| 719 |
+
<span class="id">ID: 03</span>
|
| 720 |
+
</div>
|
| 721 |
+
<div class="node-body">
|
| 722 |
+
<div>
|
| 723 |
+
<label>Task Category</label>
|
| 724 |
+
<select id="categorySelect">
|
| 725 |
+
<option value="Query">Query</option>
|
| 726 |
+
<option value="Caption">Caption</option>
|
| 727 |
+
<option value="Point">Point</option>
|
| 728 |
+
<option value="Detect">Detect</option>
|
| 729 |
+
</select>
|
| 730 |
</div>
|
| 731 |
+
<div>
|
| 732 |
+
<label>Prompt Directive</label>
|
| 733 |
+
<textarea id="promptInput" rows="5"
|
| 734 |
+
placeholder="e.g., Count the total number of boats and describe the environment."></textarea>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 735 |
</div>
|
| 736 |
+
<button class="run-btn" id="runBtn">
|
| 737 |
+
<span>Execute</span>
|
| 738 |
+
<span class="loader" id="btnLoader"></span>
|
| 739 |
+
</button>
|
| 740 |
</div>
|
| 741 |
+
<div class="port out" id="port-task-out" style="top:50%;transform:translateY(-50%);"></div>
|
| 742 |
+
</div>
|
| 743 |
|
| 744 |
+
<!-- βββ ID 04 : Output Stream βββ -->
|
| 745 |
+
<div class="node fixed-height" id="node-out" style="left:932px; top:60px;">
|
| 746 |
+
<div class="port in" id="port-out-in" style="top:50%;transform:translateY(-50%);"></div>
|
| 747 |
+
<div class="node-header">
|
| 748 |
+
<span><span class="status-dot" id="dot-out"></span>Output Stream</span>
|
| 749 |
+
<span class="id">ID: 04</span>
|
| 750 |
+
</div>
|
| 751 |
+
<div class="node-body">
|
| 752 |
+
<label>Streamed Result</label>
|
| 753 |
+
<div class="output-box" id="outputBox">Results will stream here...</div>
|
|
|
|
| 754 |
</div>
|
| 755 |
+
</div>
|
| 756 |
|
| 757 |
+
<!-- βββ ID 05 : Grounding Visualiser βββ -->
|
| 758 |
+
<div class="node fixed-height" id="node-gnd" style="left:932px; top:472px;">
|
| 759 |
+
<div class="port in" id="port-gnd-in" style="top:50%;transform:translateY(-50%);"></div>
|
| 760 |
+
<div class="node-header">
|
| 761 |
+
<span><span class="status-dot" id="dot-gnd"></span>View Grounding</span>
|
| 762 |
+
<span class="id">ID: 05</span>
|
| 763 |
+
</div>
|
| 764 |
+
<div class="node-body">
|
| 765 |
+
<label>Point / Detect Overlay</label>
|
| 766 |
+
<div class="ground-canvas-wrap">
|
| 767 |
+
<canvas id="groundCanvas"></canvas>
|
| 768 |
+
<div class="ground-placeholder" id="groundPlaceholder">
|
| 769 |
+
Active for Point / Detect tasks.<br>Run inference to visualise.
|
|
|
|
| 770 |
</div>
|
| 771 |
</div>
|
| 772 |
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 773 |
</div>
|
| 774 |
|
| 775 |
+
<div class="canvas-footer"></div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 776 |
</div>
|
| 777 |
|
| 778 |
<script>
|
|
|
|
|
|
|
|
|
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|
|
|
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|
| 779 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 780 |
+
// WIRE DRAWING
|
| 781 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 782 |
+
const canvasEl = document.getElementById('canvas');
|
| 783 |
+
|
| 784 |
function portCenter(id) {
|
| 785 |
const el = document.getElementById(id);
|
| 786 |
if (!el) return { x: 0, y: 0 };
|
| 787 |
+
const er = el.getBoundingClientRect();
|
| 788 |
+
const cr = canvasEl.getBoundingClientRect();
|
|
|
|
|
|
|
|
|
|
|
|
|
| 789 |
return {
|
| 790 |
+
x: er.left + er.width / 2 - cr.left,
|
| 791 |
+
y: er.top + er.height / 2 - cr.top
|
| 792 |
};
|
| 793 |
}
|
| 794 |
|
|
|
|
| 798 |
}
|
| 799 |
|
| 800 |
function updateWires() {
|
| 801 |
+
const wires = [
|
| 802 |
['wire-img-task', 'port-img-out', 'port-task-in'],
|
| 803 |
['wire-model-task', 'port-model-out', 'port-task-in'],
|
| 804 |
['wire-task-out', 'port-task-out', 'port-out-in'],
|
| 805 |
['wire-task-gnd', 'port-task-out', 'port-gnd-in'],
|
| 806 |
];
|
| 807 |
+
for (const [id, from, to] of wires) {
|
| 808 |
const el = document.getElementById(id);
|
| 809 |
if (el) el.setAttribute('d', bezier(portCenter(from), portCenter(to)));
|
| 810 |
}
|
| 811 |
}
|
| 812 |
|
| 813 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 814 |
+
// DRAGGING
|
| 815 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 816 |
document.querySelectorAll('.node').forEach(node => {
|
| 817 |
const header = node.querySelector('.node-header');
|
| 818 |
+
let drag = false, sx, sy, il, it;
|
|
|
|
| 819 |
header.addEventListener('mousedown', e => {
|
| 820 |
+
drag = true; sx = e.clientX; sy = e.clientY;
|
|
|
|
| 821 |
il = parseInt(node.style.left) || 0;
|
| 822 |
it = parseInt(node.style.top) || 0;
|
| 823 |
+
node.style.zIndex = 100; e.preventDefault();
|
|
|
|
|
|
|
| 824 |
});
|
| 825 |
+
document.addEventListener('mousemove', e => {
|
| 826 |
+
if (!drag) return;
|
| 827 |
+
node.style.left = `${il + e.clientX - sx}px`;
|
| 828 |
+
node.style.top = `${it + e.clientY - sy}px`;
|
|
|
|
| 829 |
updateWires();
|
| 830 |
});
|
| 831 |
+
document.addEventListener('mouseup', () => {
|
| 832 |
+
if (drag) { drag = false; node.style.zIndex = 10; }
|
| 833 |
});
|
| 834 |
});
|
| 835 |
|
| 836 |
+
window.addEventListener('resize', updateWires);
|
| 837 |
+
window.addEventListener('scroll', updateWires);
|
| 838 |
+
document.addEventListener('scroll', updateWires, true);
|
| 839 |
+
requestAnimationFrame(updateWires);
|
|
|
|
| 840 |
|
| 841 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 842 |
// FILE UPLOAD
|
|
|
|
| 879 |
html: `<span class="model-badge q4b">QWEN 3.5 Β· 4B</span><br><br>
|
| 880 |
Qwen3.5 4B multimodal model by Alibaba Cloud.
|
| 881 |
Enhanced capacity over 2B β richer reasoning & better instruction following.`,
|
| 882 |
+
bg: 'rgba(255,200,80,0.07)',
|
| 883 |
+
border: 'rgba(255,200,80,0.30)',
|
| 884 |
},
|
| 885 |
qwen_2b: {
|
| 886 |
html: `<span class="model-badge q2b">QWEN 3.5 Β· 2B</span><br><br>
|
| 887 |
Qwen3.5 2B multimodal model by Alibaba Cloud.
|
| 888 |
Lightweight & fast β ideal for quick Query, Caption, Point & Detect tasks.`,
|
| 889 |
+
bg: 'rgba(124,106,247,0.07)',
|
| 890 |
+
border: 'rgba(124,106,247,0.25)',
|
| 891 |
},
|
| 892 |
qwen_vl: {
|
| 893 |
html: `<span class="model-badge qvl">QWEN3-VL Β· 2B</span><br><br>
|
| 894 |
Qwen3-VL-2B-Instruct β dedicated vision-language model by Alibaba Cloud.
|
| 895 |
Strong spatial grounding, OCR & instruction-following.`,
|
| 896 |
+
bg: 'rgba(255,150,50,0.07)',
|
| 897 |
+
border: 'rgba(255,150,50,0.25)',
|
| 898 |
},
|
| 899 |
lfm_450: {
|
| 900 |
html: `<span class="model-badge lfm450">LFM Β· 450M</span><br><br>
|
| 901 |
LFM2.5-VL 450M by LiquidAI. Ultra-lightweight edge model
|
| 902 |
with solid grounding capabilities.`,
|
| 903 |
+
bg: 'rgba(78,205,196,0.07)',
|
| 904 |
+
border: 'rgba(78,205,196,0.25)',
|
| 905 |
},
|
| 906 |
lfm_16: {
|
| 907 |
html: `<span class="model-badge lfm16">LFM Β· 1.6B</span><br><br>
|
| 908 |
LFM2.5-VL 1.6B by LiquidAI. Larger liquid-state model offering
|
| 909 |
enhanced reasoning & richer visual understanding.`,
|
| 910 |
+
bg: 'rgba(107,203,119,0.07)',
|
| 911 |
+
border: 'rgba(107,203,119,0.25)',
|
| 912 |
+
},
|
| 913 |
+
qwen_unredacted: {
|
| 914 |
+
html: `<span class="model-badge qunred">QWEN 3.5 Β· 2B UNREDACTED MAX</span><br><br>
|
| 915 |
+
Qwen3.5-2B-Unredacted-MAX by prithivMLmods. Fine-tuned variant of Qwen3.5-2B
|
| 916 |
+
with uncensored & extended instruction-following capabilities.`,
|
| 917 |
+
bg: 'rgba(255,80,160,0.07)',
|
| 918 |
+
border: 'rgba(255,80,160,0.25)',
|
| 919 |
},
|
| 920 |
};
|
| 921 |
|
| 922 |
modelSelect.onchange = () => {
|
| 923 |
const info = MODEL_INFO[modelSelect.value];
|
| 924 |
if (!info) return;
|
| 925 |
+
modelInfoBox.innerHTML = info.html;
|
| 926 |
+
modelInfoBox.style.background = info.bg;
|
| 927 |
+
modelInfoBox.style.border = `1px solid ${info.border}`;
|
| 928 |
};
|
| 929 |
|
| 930 |
// ββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
| 1005 |
gCtx.font = `bold ${fs}px JetBrains Mono, monospace`;
|
| 1006 |
|
| 1007 |
const items = Array.isArray(parsed) ? parsed : [parsed];
|
| 1008 |
+
|
| 1009 |
items.forEach((item, i) => {
|
| 1010 |
const col = PALETTE[i % PALETTE.length];
|
| 1011 |
|
|
|
|
| 1018 |
|
| 1019 |
if (bbox) {
|
| 1020 |
let [x1,y1,x2,y2] = bbox;
|
| 1021 |
+
if (x1 <= 1 && y1 <= 1 && x2 <= 1 && y2 <= 1) {
|
| 1022 |
+
x1*=W; y1*=H; x2*=W; y2*=H;
|
| 1023 |
+
}
|
| 1024 |
+
const bw = x2-x1, bh = y2-y1;
|
| 1025 |
const lbl = item?.label || `${i+1}`;
|
| 1026 |
+
|
| 1027 |
+
gCtx.fillStyle = hexToRgba(col, 0.18);
|
| 1028 |
+
gCtx.fillRect(x1, y1, bw, bh);
|
| 1029 |
+
gCtx.strokeStyle = col;
|
| 1030 |
+
gCtx.strokeRect(x1, y1, bw, bh);
|
| 1031 |
+
|
| 1032 |
const tw = gCtx.measureText(lbl).width;
|
| 1033 |
const ph = fs*1.4, pw = tw+10;
|
| 1034 |
const lx = x1, ly = Math.max(0, y1-ph);
|
|
|
|
| 1051 |
if (x <= 1 && y <= 1) { x*=W; y*=H; }
|
| 1052 |
const r = Math.max(8, W/60);
|
| 1053 |
const lbl = item?.label || `${i+1}`;
|
| 1054 |
+
|
| 1055 |
gCtx.beginPath();
|
| 1056 |
gCtx.arc(x, y, r*1.6, 0, Math.PI*2);
|
| 1057 |
gCtx.fillStyle = hexToRgba(col, 0.15); gCtx.fill();
|
| 1058 |
+
|
| 1059 |
gCtx.beginPath();
|
| 1060 |
gCtx.arc(x, y, r, 0, Math.PI*2);
|
| 1061 |
+
gCtx.fillStyle = col; gCtx.fill();
|
| 1062 |
gCtx.strokeStyle = '#fff'; gCtx.stroke();
|
| 1063 |
+
|
| 1064 |
gCtx.fillStyle = '#fff';
|
| 1065 |
gCtx.fillText(lbl, x+r+4, y+fs*0.4);
|
| 1066 |
}
|