Initial release — interactive AIGENCY V4 demo (Gradio)

README.md

@@ -1,12 +1,46 @@
 ---
 title: AIGENCY V4 Demo
-emoji: 🐨
-colorFrom: yellow
-colorTo: yellow
+emoji: 🦅
+colorFrom: indigo
+colorTo: pink
 sdk: gradio
-sdk_version: 6.13.0
+sdk_version: 4.44.0
 app_file: app.py
-pinned: false
+pinned: true
+license: other
+short_description: Sovereign 128B Turkish-first multimodal AI · live API demo
+tags:
+- aigency
+- turkish
+- multimodal
+- sovereign
+- ecloud
+- frontier-adjacent
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# AIGENCY V4 — Live Demo Space
+
+Interactive Gradio demo for **AIGENCY V4**, the 128B-parameter sovereign,
+multimodal Turkish-first AI model from eCloud Yazılım Teknolojileri.
+
+This Space proxies prompts to the production API at
+[aigency.dev](https://aigency.dev).
+
+## Resources
+
+- 🤗 [Model card](https://huggingface.co/aigencydev/AIGENCY-V4)
+- 📊 [Evaluation dataset (reproducibility capsule)](https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation)
+- 📄 [Whitepaper EN](https://github.com/ecloud-bh/aigency-v4-whitepaper/blob/main/AIGENCY-V4-Whitepaper-EN.pdf) ·
+     [Whitepaper TR](https://github.com/ecloud-bh/aigency-v4-whitepaper/blob/main/AIGENCY-V4-Whitepaper-TR.pdf)
+- 🔧 [Benchmark code](https://github.com/ecloud-bh/aigency-benchmarks)
+
+## Configuration
+
+Required Space secret:
+- `AIGENCY_API_TOKEN` — eCloud production API bearer token
+
+Optional Space variables:
+- `AIGENCY_API_BASE` (default: `https://aigency.dev/api/v2`)
+- `AIGENCY_ASSISTANT` (default: `alparslan-v4`)
+
+© 2026 eCloud Yazılım Teknolojileri · info@e-cloud.web.tr · ai@aigency.dev

app.py

@@ -0,0 +1,234 @@
+"""AIGENCY V4 — Interactive demo Space.
+
+This Gradio app proxies user prompts to the eCloud production AIGENCY V4 API.
+
+Setup (when deploying to HuggingFace Spaces):
+    1. Add `AIGENCY_API_TOKEN` as a Space secret (Space settings → Secrets).
+    2. Optionally add `AIGENCY_API_BASE` (default https://aigency.dev/api/v2)
+       and `AIGENCY_ASSISTANT` (default alparslan-v4).
+
+The Space supports text and image-with-text input (one image per request,
+≤ 30 MB, image/* MIME).
+"""
+from __future__ import annotations
+
+import io
+import os
+import time
+import json
+import base64
+import mimetypes
+
+import gradio as gr
+import requests
+from PIL import Image
+
+# ── Config ─────────────────────────────────────────────────────────
+API_BASE = os.environ.get("AIGENCY_API_BASE", "https://aigency.dev/api/v2")
+API_TOKEN = os.environ.get("AIGENCY_API_TOKEN", "")  # set via Space secret
+ASSISTANT = os.environ.get("AIGENCY_ASSISTANT", "alparslan-v4")
+TIMEOUT = 60  # seconds
+DEMO_BANNER = (
+    "AIGENCY V4 — sovereign, multimodal, Turkish-first AI · "
+    "128B parameters · 278K context · KVKK-resident"
+)
+
+
+# ── Bench numbers (static, mirrored from the model card) ───────────
+BENCH = [
+    ("Belebele-TR (TR reading)", 0.8733, "Turkish · #1 globally"),
+    ("ARC-Challenge", 0.9488, "Frontier-tied"),
+    ("GSM8K", 0.9462, "Frontier-tied"),
+    ("HellaSwag", 0.8860, "≈6pp behind frontier"),
+    ("MBPP", 0.8482, "Upper-mid frontier"),
+    ("HumanEval", 0.8415, "Upper-mid frontier"),
+    ("TQuAD (TR QA)", 0.8240, "Turkish · #1 globally"),
+    ("IFEval (strict)", 0.8022, "Frontier lower-mid"),
+    ("MMLU", 0.8010, "Frontier lower-mid"),
+    ("HumanEval+", 0.7988, "Upper-mid frontier"),
+    ("DocVQA (≥0.5 ANLS)", 0.7917, "Multimodal (first-gen)"),
+    ("TR Grammar", 0.7900, "Turkish · #1 globally"),
+    ("MBPP+", 0.7804, "Upper-mid frontier"),
+    ("TruthfulQA MC1", 0.7638, "Frontier-tied"),
+    ("WinoGrande", 0.7466, "≈11pp behind frontier"),
+    ("XNLI-TR", 0.7340, "Turkish · #1 globally"),
+    ("TR-MMLU", 0.7080, "Turkish · #1 globally"),
+    ("ChartQA (relaxed)", 0.6768, "Multimodal (first-gen)"),
+    ("MMMU (val)", 0.5333, "Multimodal (first-gen)"),
+    ("MMLU-Pro", 0.5020, "Development area"),
+    ("GPQA Diamond", 0.3788, "Development area"),
+    ("MathVista (testmini)", 0.3413, "Multimodal (first-gen)"),
+]
+
+
+def headers():
+    return {"Authorization": f"Bearer {API_TOKEN}"}
+
+
+PLACEHOLDER_MSG = (
+    "🔒 The interactive chat is being activated.\n\n"
+    "While the demo is finalised, you can already:\n"
+    "  · Browse the **Benchmark Leaderboard** tab — 22 benchmarks, 13,344 calls\n"
+    "  · Read the [model card](https://huggingface.co/aigencydev/AIGENCY-V4)\n"
+    "  · Inspect the [evaluation dataset](https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation)\n"
+    "  · Read the whitepaper (32 pages, EN/TR) on [GitHub](https://github.com/ecloud-bh/aigency-v4-whitepaper)\n\n"
+    "For production access: **info@e-cloud.web.tr · ai@aigency.dev**"
+)
+
+
+# ── Two-step API protocol ─────────────────────────────────────────
+def new_chat() -> str:
+    r = requests.post(
+        f"{API_BASE}/chat/newChat",
+        headers=headers(),
+        json={"assistant_slug": ASSISTANT},
+        timeout=TIMEOUT,
+    )
+    r.raise_for_status()
+    return r.json()["chat_id"]
+
+
+def send_text(chat_id: str, prompt: str) -> str:
+    r = requests.post(
+        f"{API_BASE}/chat/sendMessage",
+        headers=headers(),
+        json={"chat_id": chat_id, "message": prompt},
+        timeout=TIMEOUT,
+    )
+    r.raise_for_status()
+    return r.json().get("message", "")
+
+
+def send_with_image(chat_id: str, prompt: str, image: Image.Image) -> str:
+    buf = io.BytesIO()
+    image.save(buf, format="PNG")
+    buf.seek(0)
+    files = {
+        "attachements": ("image.png", buf, "image/png"),  # canonical typo
+    }
+    data = {"chat_id": chat_id, "message": prompt}
+    r = requests.post(
+        f"{API_BASE}/chat/sendMessage",
+        headers=headers(),
+        files=files,
+        data=data,
+        timeout=TIMEOUT,
+    )
+    r.raise_for_status()
+    return r.json().get("message", "")
+
+
+# ── Gradio handlers ────────────────────────────────────────────────
+def chat(prompt, image, history):
+    history = history or []
+    if not prompt.strip():
+        return history, ""
+    if not API_TOKEN:
+        history.append((prompt, PLACEHOLDER_MSG))
+        return history, ""
+    try:
+        chat_id = new_chat()
+        if image is not None:
+            answer = send_with_image(chat_id, prompt, image)
+        else:
+            answer = send_text(chat_id, prompt)
+    except Exception as e:
+        answer = f"Error: {e}"
+    history.append((prompt, answer))
+    return history, ""
+
+
+def make_leaderboard():
+    rows = [(name, f"{val:.2%}", note) for name, val, note in BENCH]
+    return rows
+
+
+# ── UI ─────────────────────────────────────────────────────────────
+TR_INTRO = """
+### 🇹🇷 AIGENCY V4 Demo
+
+**128 milyar parametreli yerli yapay zekâ.** Türkçe okuma anlamada dünya
+lideri, fen muhakemesi ve grade-school matematikte frontier seviyesinde.
+KVKK-yerel, tam-bağımsız mimari.
+
+Aşağıdaki sohbet kutusuna Türkçe veya İngilizce bir istem yazın; isteğe
+bağlı olarak bir görsel ekleyin. Sonuçlar canlı API'den gelir.
+"""
+
+EN_INTRO = """
+### 🇬🇧 AIGENCY V4 Demo
+
+**128B-parameter sovereign AI**, world-leader on Turkish reading
+comprehension and frontier-level on grade-school math and scientific
+reasoning. KVKK-resident, fully sovereign architecture.
+
+Enter a Turkish or English prompt below, optionally attach an image.
+Responses are served live by the production API.
+"""
+
+with gr.Blocks(title="AIGENCY V4 Demo", theme=gr.themes.Soft()) as demo:
+    gr.Markdown(f"# AIGENCY V4\n\n*{DEMO_BANNER}*")
+
+    with gr.Tab("Chat"):
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown(EN_INTRO)
+            with gr.Column(scale=1):
+                gr.Markdown(TR_INTRO)
+        chatbot = gr.Chatbot(height=420, label="Conversation")
+        with gr.Row():
+            with gr.Column(scale=4):
+                msg = gr.Textbox(
+                    label="Prompt",
+                    placeholder="Type a question in Turkish or English…",
+                    lines=2,
+                )
+            with gr.Column(scale=1):
+                img = gr.Image(label="Optional image", type="pil", height=200)
+        send = gr.Button("Send", variant="primary")
+        send.click(chat, [msg, img, chatbot], [chatbot, msg])
+        msg.submit(chat, [msg, img, chatbot], [chatbot, msg])
+
+    with gr.Tab("Benchmark Leaderboard"):
+        gr.Markdown(
+            "## 22 benchmarks · 13,344 real API calls · Wilson 95% CI\n"
+            "Methodology: temperature 0.0, deterministic seed=42, single "
+            "session 27 April 2026.\n\n"
+            "*See [the dataset](https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation) "
+            "for the full reproducibility capsule.*"
+        )
+        gr.Dataframe(
+            headers=["Benchmark", "AIGENCY V4", "Position vs frontier"],
+            value=make_leaderboard(),
+            interactive=False,
+            wrap=True,
+        )
+
+    with gr.Tab("About"):
+        gr.Markdown("""
+### About AIGENCY V4
+
+AIGENCY V4 is the multimodal successor to AIGENCY V3, developed by
+**eCloud Yazılım Teknolojileri**. Released to production in Q2 2026.
+
+- **Architecture**: 120B sovereign decoder transformer + 8B vision encoder
+- **Context**: 278K tokens (HBM 3-tier with TG-Decay)
+- **Languages**: Turkish (primary), English
+- **Licence**: API-only commercial — see https://aigency.dev/license
+
+**Resources**
+
+- 📄 Whitepaper (EN): https://github.com/ecloud-bh/aigency-v4-whitepaper/blob/main/AIGENCY-V4-Whitepaper-EN.pdf
+- 📄 Whitepaper (TR): https://github.com/ecloud-bh/aigency-v4-whitepaper/blob/main/AIGENCY-V4-Whitepaper-TR.pdf
+- 🤗 Model card: https://huggingface.co/aigencydev/AIGENCY-V4
+- 📊 Evaluation dataset: https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation
+- 🔧 Benchmark code: https://github.com/ecloud-bh/aigency-benchmarks
+- 🔗 Production API: https://aigency.dev
+
+**Contact**
+
+info@e-cloud.web.tr · ai@aigency.dev · © 2026 eCloud Yazılım Teknolojileri
+""")
+
+if __name__ == "__main__":
+    demo.queue(max_size=8).launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio>=4.40
+requests>=2.32
+Pillow>=10.0