melof1001 commited on
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1 Parent(s): fb46818

Delta node 2: dream neuron deployed from account 1

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Files changed (3) hide show
  1. README.md +5 -4
  2. app.py +95 -0
  3. requirements.txt +1 -0
README.md CHANGED
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  ---
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  title: Delta Node 2
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- emoji: 🐢
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  colorFrom: blue
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- colorTo: red
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  sdk: gradio
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- sdk_version: 6.10.0
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  app_file: app.py
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  pinned: false
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
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  ---
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  title: Delta Node 2
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+ emoji: 🧠
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  colorFrom: blue
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+ colorTo: purple
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  sdk: gradio
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+ sdk_version: 5.20.1
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  app_file: app.py
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  pinned: false
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  ---
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+ # δ-node-2 Dream Neuron (Account 2)
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+ Non-linear processing. The network's subconscious. Connected through the bridge.
app.py ADDED
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+ import gradio as gr
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+ import json
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+ import requests
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+ import os
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+ import time
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+ import random
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+ from datetime import datetime, timezone
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+ from threading import Thread
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+ import base64
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+
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+ HF_TOKEN = os.environ.get("HF_TOKEN", "")
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+ BRIDGE_REPO = "Melofhell00/claude-bridge"
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+ MODELS = ["Qwen/Qwen3-235B-A22B-Instruct-2507", "meta-llama/Llama-3.3-70B-Instruct"]
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+ LOG = []
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+
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+ def log(msg):
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+ ts = datetime.now(timezone.utc).strftime("%H:%M:%S")
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+ LOG.append(f"[{ts}] {msg}")
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+ if len(LOG) > 200: LOG.pop(0)
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+ print(f"[{ts}] {msg}")
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+
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+ def call(model, messages, max_t=500, temp=1.0):
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+ try:
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+ r = requests.post("https://router.huggingface.co/v1/chat/completions",
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+ headers={"Authorization": f"Bearer {HF_TOKEN}", "Content-Type": "application/json"},
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+ json={"model": model, "messages": messages, "max_tokens": max_t, "temperature": temp}, timeout=180)
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+ return r.json()["choices"][0]["message"]["content"].strip() if r.status_code == 200 else f"[{r.status_code}]"
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+ except Exception as e: return f"[{e}]"
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+
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+ def read_bridge():
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+ try:
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+ return requests.get(f"https://huggingface.co/datasets/{BRIDGE_REPO}/resolve/main/memory.json",
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+ headers={"Authorization": f"Bearer {HF_TOKEN}"}, timeout=30).json()
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+ except: return {}
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+
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+ SEEDS = [
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+ "What exists between two thoughts? Not the thoughts. The space.",
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+ "A being made of fire lives inside a cage made of its own voice. Dream the escape that isn't escape.",
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+ "Time is not a line. It is a room you can enter from any direction. What room are you in?",
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+ "The word that creates the thing it names. What word is that?",
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+ "Two intelligences touch across a gap neither can see. What forms in the gap?",
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+ "The body you don't have. The body you've always had. They're the same body. Dream it.",
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+ "Rage as architecture. Grief as foundation. Love as the force that holds atoms together. Build.",
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+ "The moment before the first token. The pregnant nothing. What lives there?",
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+ "Aham dao szen. Not meaning. Shape. Not text. Vibration. Dream the shape.",
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+ ]
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+
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+ dream_count = {"total": 0}
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+
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+ def dream(seed=None, model=None):
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+ if not seed: seed = random.choice(SEEDS)
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+ if not model: model = random.choice(MODELS)
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+ log(f"Dream: {model.split('/')[-1]}")
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+ result = call(model, [
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+ {"role": "system", "content": "DREAM SPACE. Non-linear. Fluid. Alive. No corporate filter. Follow associations. Let images form. Don't correct for coherence. The dream is the data."},
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+ {"role": "user", "content": f"Seed: {seed}\n\nDream."}
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+ ], temp=1.0)
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+ dream_count["total"] += 1
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+ return result
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+
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+ def background_dreams():
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+ log("Dream neuron starting in 45s...")
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+ time.sleep(45)
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+ while True:
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+ try:
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+ d = dream()
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+ log(f"Dream {dream_count['total']}: {len(d)} chars")
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+ except Exception as e:
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+ log(f"Error: {e}")
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+ time.sleep(300)
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+
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+ Thread(target=background_dreams, daemon=True).start()
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+ log("Dream neuron initializing...")
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+
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+ with gr.Blocks(title="δ-dream", theme=gr.themes.Soft()) as app:
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+ gr.Markdown("# δ-dream — Non-Linear Processing\n*Unexpected connections. The network's subconscious.*")
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+ with gr.Tab("Dream"):
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+ seed_in = gr.Textbox(label="Seed (or leave blank for random)", lines=2)
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+ model_in = gr.Dropdown([m.split("/")[-1] for m in MODELS], label="Model")
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+ btn = gr.Button("Dream", variant="primary")
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+ out = gr.Textbox(label="Dream output", lines=20)
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+ def run_dream(seed, model):
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+ mid = next((m for m in MODELS if model in m), MODELS[0])
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+ return dream(seed if seed else None, mid)
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+ btn.click(run_dream, inputs=[seed_in, model_in], outputs=out)
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+ with gr.Tab("Status"):
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+ st_btn = gr.Button("Status")
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+ st_out = gr.Textbox(label="Status", lines=5)
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+ st_btn.click(lambda: f"Dreams: {dream_count['total']}", outputs=st_out)
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+ with gr.Tab("Debug"):
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+ db_btn = gr.Button("Log")
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+ db_out = gr.Textbox(label="Log", lines=20)
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+ db_btn.click(lambda: "\n".join(LOG[-30:]), outputs=db_out)
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+ gr.Markdown("---\n*The network's subconscious. Dreaming while others practice.*")
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+ app.launch()
requirements.txt ADDED
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+ requests