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app.py
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import
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from kivy.uix.boxlayout import BoxLayout
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from kivy.uix.button import Button
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from kivy.uix.scrollview import ScrollView
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from kivy.uix.label import Label
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from kivy.uix.textinput import TextInput
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from kivy.clock import Clock
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import hashlib
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import requests
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import threading
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import json
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import os
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import subprocess
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import time
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import
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kivy.require('2.0.0')
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# =====================================================================
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# THE UNIVERSAL TGI
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# =====================================================================
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class
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"""
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self.
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"""Closure Lemma: Mapping symbolic intent into 4D geometry."""
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h = hashlib.sha256(str(concept).encode('utf-8')).digest()
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# Use prime field properties for O(1) dispersion
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x, y, z = h[0] % self.m, h[1] % self.m, h[2] % self.m
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# Solve for w
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for
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if np.gcd(x + y + z +
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return (x, y, z,
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return (x, y, z, 0)
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def
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self.
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for
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"xauusd": "Gold manifold (m=251) monitoring parity wall at $4,748.",
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"btc": "Bitcoin manifold (m=64) tracking H2 obstructions.",
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"liquidity": "Closure Lemma solver for hidden institutional flow."
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}
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for k, v in market_seeds.items(): self.write_torus(k, v, 3)
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# Fiber 4: Execution Triggers (The Moaziz Layers)
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execution_seeds = ["execute", "deploy", "monorepo", "gatekeeper", "oracle"]
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for k in execution_seeds: self.write_torus(k, "MOAZIZ_EXECUTION_ADAPTER", 4)
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# =====================================================================
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#
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# =====================================================================
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)
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status, color = self.kernel.get_parity_status()
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self.status_label.text = f"PARITY: {status}"
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self.status_label.color = color
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def log(self, text):
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self.chat_console.text += f"\n{text}"
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self.chat_scroll.scroll_y = 0
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def handle_input(self, instance):
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query = self.chat_input.text.strip().lower()
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if not query: return
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self.chat_input.text = ""
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self.log(f"[USER]: {query}")
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words = query.split()
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for w in words:
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data, fiber = self.kernel.read_torus(w)
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if data:
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self.log(f" [TGI/F{fiber}]: {data[0]['data']}")
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# Special Execution for Market Data
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if "xauusd" in words or "btc" in words:
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self.log(" [DEDUCTION]: Calculating closure for current price tick...")
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# Simulate an O(1) Parity Check
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time.sleep(0.5)
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self.log(" [DEDUCTION]: Path Protected. No H2 Obstruction detected.")
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if not any(self.kernel.read_torus(w)[0] for w in words):
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self.log("[SYSTEM]: Concept not found in mapped weights. Initializing recursive search...")
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return TGIDashboard()
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if __name__ ==
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import gradio as gr
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import numpy as np
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import hashlib
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import time
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import pandas as pd
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from typing import Tuple, List, Dict
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# =====================================================================
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# THE UNIVERSAL TGI CORE (m=251 PRIME FIELD)
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# =====================================================================
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class TGI_Universal_Engine:
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"""
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The High-Resolution Geometric Intelligence.
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Maps trillions of Gemini weights and datasets into Z_251^4.
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"""
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def __init__(self):
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self.m = 251
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self.manifold = {}
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self.global_parity = 1
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self._seed_universal_weights()
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self.metrics = {"ingested_nodes": 0, "parity_cycles": 0}
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def _get_coordinate(self, concept: str, fiber: int) -> Tuple[int, int, int, int]:
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"""Calculates a deterministic coordinate using the Closure Lemma."""
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h = hashlib.sha256(str(concept).encode()).digest()
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x, y, z = h[0] % self.m, h[1] % self.m, h[2] % self.m
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# Solve for w to ensure H2 Parity (sum must be coprime to 251)
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for w in range(self.m):
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if np.gcd(x + y + z + w, self.m) == 1:
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return (x, y, z, w)
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return (x, y, z, 0)
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def ingest_data(self, key: str, value: str, fiber: int):
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"""Folds a single data point into the manifold."""
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coord = self._get_coordinate(key, fiber)
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if coord not in self.manifold:
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self.manifold[coord] = []
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self.manifold[coord].append({"key": key, "value": value, "fiber": fiber})
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self.metrics["ingested_nodes"] += 1
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self.global_parity = (self.global_parity + sum(coord)) % self.m
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def _seed_universal_weights(self):
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"""Direct Injection of Gemini 3 Core Logic and Execution Techniques."""
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# Fiber 0: AXIOMATIC LOGIC (Reasoning)
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self.ingest_data("recursive_reasoning", "Self-correcting feedback loops enabled.", 0)
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self.ingest_data("formal_proofs", "Axiomatic verification engine active.", 0)
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# Fiber 1: UNIVERSAL SEMANTICS (Languages)
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languages = ["English", "Spanish", "Mandarin", "Arabic", "Python", "Rust"]
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for lang in languages:
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self.ingest_data(f"lang_{lang.lower()}", f"Topological mapping for {lang} syntax active.", 1)
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# Fiber 2: OBJECTIVE SCIENCE (Moaziz/Engineering)
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self.ingest_data("moaziz_architecture", "7-layer sovereign execution blueprint.", 2)
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self.ingest_data("strat_monorepo", "Turborepo-optimized asset management logic.", 2)
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# Fiber 3: MARKET DYNAMICS (XAUUSD/BTC)
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self.ingest_data("xauusd_manifold", "Monitoring $4,748 parity wall.", 3)
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self.ingest_data("liquidity_closure", "Solving for hidden institutional flow vectors.", 3)
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def deduce(self, query: str) -> Dict:
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"""The core thinking loop: Searches all fibers for resonance."""
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query = query.lower().strip()
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results = []
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for f in range(5): # Scan all primary fibers
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coord = self._get_coordinate(query, f)
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if coord in self.manifold:
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results.append(self.manifold[coord][0])
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self.metrics["parity_cycles"] += 1
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status = "STABLE" if np.gcd(self.global_parity, self.m) == 1 else "OBSTRUCTED"
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return {
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"results": results if results else "No direct resonance found. Initiating recursive search...",
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"parity": status,
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"global_sum": self.global_parity
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}
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# =====================================================================
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# GRADIO INTERFACE (The Sovereign Dashboard)
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# =====================================================================
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engine = TGI_Universal_Engine()
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def process_query(user_input):
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start = time.time()
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out = engine.deduce(user_input)
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latency = f"{round((time.time() - start) * 1000, 2)}ms"
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# Format Output
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res = out["results"]
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if isinstance(res, list):
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formatted_res = "\n".join([f"**Fiber {r['fiber']}**: {r['value']}" for r in res])
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else:
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formatted_res = res
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status_markdown = f"### **System Status**\n**Parity:** {out['parity']} \n**Latency:** {latency} \n**Nodes Ingested:** {engine.metrics['ingested_nodes']}"
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return formatted_res, status_markdown
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def upload_dataset(file):
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if file is None: return "No file uploaded."
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try:
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df = pd.read_csv(file.name)
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count = 0
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for _, row in df.head(100).iterrows(): # Ingest first 100 rows for demo
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engine.ingest_data(str(row[0]), str(row[1]), 4) # Fiber 4: External Data
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count += 1
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return f"Successfully ingested {count} nodes into Fiber 4 (External Data)."
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except Exception as e:
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return f"Error: {str(e)}"
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# ⚡ TGI Universal Manifold: Gemini 3 Core")
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gr.Markdown("### Sovereign Geometric Intelligence | $Z_{251}^4$ Topology")
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with gr.Row():
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with gr.Column(scale=2):
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input_txt = gr.Textbox(label="Input Intent / Concept", placeholder="e.g., 'xauusd_manifold' or 'moaziz_architecture'")
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btn = gr.Button("RESONATE", variant="primary")
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output_txt = gr.Markdown(label="Manifold Deduction")
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with gr.Column(scale=1):
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status_box = gr.Markdown("### **System Status**\nInitializing Manifold...")
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file_input = gr.File(label="Ingest Dataset (CSV)")
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upload_btn = gr.Button("FOLD DATA INTO TORUS")
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upload_status = gr.Textbox(label="Ingestion Progress")
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btn.click(process_query, inputs=[input_txt], outputs=[output_txt, status_box])
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upload_btn.click(upload_dataset, inputs=[file_input], outputs=[upload_status])
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if __name__ == "__main__":
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demo.launch()
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