Create app.py

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+import requests
+import json
+
+# Configuration
+INVOKE_URL = "https://integrate.api.nvidia.com/v1/chat/completions"
+API_KEY = "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"
+
+def predict(message, history):
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Accept": "text/event-stream"
+    }
+
+    payload = {
+        "model": "moonshotai/kimi-k2.6",
+        "messages": [{"role": "user", "content": message}],
+        "max_tokens": 16384,
+        "temperature": 1.0,
+        "stream": True,
+        "chat_template_kwargs": {"thinking": True}, # 🔱 Inachi Thinking Mode
+    }
+
+    response = requests.post(INVOKE_URL, headers=headers, json=payload, stream=True)
+    
+    partial_message = ""
+    for line in response.iter_lines():
+        if line:
+            # Decode the event-stream line
+            line = line.decode("utf-8")
+            if line.startswith("data: "):
+                data_str = line[6:]
+                if data_str == "[DONE]":
+                    break
+                try:
+                    data_json = json.loads(data_str)
+                    # Check if 'choices' exists and has content
+                    delta = data_json['choices'][0]['delta']
+                    if 'content' in delta:
+                        content = delta['content']
+                        partial_message += content
+                        yield partial_message
+                except:
+                    continue
+
+# 🔱 Inachi UI Styling
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue", neutral_hue="slate")) as demo:
+    gr.Markdown("# 🔱 INACHI V1.1 - Kimi-k2.6 Experimental Lab")
+    gr.Markdown("Testing NVIDIA MoonshotAI with **Thinking Mode** enabled.")
+    
+    chat = gr.ChatInterface(
+        fn=predict,
+        title="Inachi Core Testing",
+        description="Master Architect MINZO-PRIME, the system is ready for testing."
+    )
+
+demo.launch()