Deploy ReGraph LLM Gradio demo via ReGraph platform

README.md

@@ -1,13 +1,29 @@
 ---
-title: ReGraphLLM
-emoji: 😻
-colorFrom: indigo
-colorTo: blue
+title: ReGraph LLM
+emoji: ⚡
+colorFrom: purple
+colorTo: pink
 sdk: gradio
-sdk_version: 6.6.0
+sdk_version: "4.44.0"
 app_file: app.py
-pinned: false
-license: other
+pinned: true
+license: apache-2.0
+short_description: Decentralized AI inference powered by the ReGraph network
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# ReGraph LLM
+
+An interactive demo of **ReGraph LLM** — a continuously-trained language model powered by a decentralized network of GPU and NPU nodes worldwide.
+
+## Features
+
+- 🌐 **Decentralized compute** — inference routed across global hardware providers  
+- 🔄 **Continuous training** — model updated as new compute contributions arrive  
+- ⚡ **Low latency** — smart routing to nearest available nodes  
+- 💰 **10× cheaper** than GPT-4 comparable models  
+
+## Links
+
+- [ReGraph Platform](https://regraph.tech)
+- [Documentation](https://regraph.tech/docs)
+- [GitHub](https://github.com/ildu00/ReGraph)

app.py

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+import gradio as gr
+import requests
+import os
+
+REGRAPH_API_KEY = os.getenv("REGRAPH_API_KEY", "")
+REGRAPH_BASE_URL = "https://api.regraph.tech/v1"
+
+def chat(message: str, history: list) -> str:
+    messages = [
+        {"role": "system", "content": "You are a helpful AI assistant powered by ReGraph LLM — a decentralized, continuously-trained language model running on distributed GPU/NPU nodes worldwide."}
+    ]
+    for h in history:
+        messages.append({"role": "user", "content": h[0]})
+        messages.append({"role": "assistant", "content": h[1]})
+    messages.append({"role": "user", "content": message})
+
+    try:
+        resp = requests.post(
+            f"{REGRAPH_BASE_URL}/chat/completions",
+            headers={"Authorization": f"Bearer {REGRAPH_API_KEY}", "Content-Type": "application/json"},
+            json={"model": "regraph-llm-latest", "messages": messages, "max_tokens": 1024},
+            timeout=60,
+        )
+        resp.raise_for_status()
+        return resp.json()["choices"][0]["message"]["content"]
+    except Exception as e:
+        return f"[Error] {e}"
+
+demo = gr.ChatInterface(
+    fn=chat,
+    title="⚡ ReGraph LLM",
+    description="""Interact with **ReGraph LLM** — a continuously-trained language model powered by decentralized GPU/NPU nodes worldwide.
+
+[Platform](https://regraph.tech) · [Docs](https://regraph.tech/docs) · [GitHub](https://github.com/ildu00/ReGraph)""",
+    examples=[
+        "What is decentralized AI compute?",
+        "Explain the ReGraph network in simple terms",
+        "Write a Python script to call the ReGraph API",
+        "Compare centralized vs decentralized AI inference",
+    ],
+    theme=gr.themes.Soft(primary_hue="violet"),
+    chatbot=gr.Chatbot(height=480),
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio>=4.44.0
+requests>=2.31.0