Update app.py

app.py

@@ -1,62 +1,41 @@
 # =========================================================
-#  NexFrame Interface for Hugging Face
-#  (visual front end only – no private RFT data)
+#  NexFrame Simple Chat App
+#  — clean, single-file interface for Hugging Face
 # =========================================================
 import gradio as gr
-import requests, os, math, random
-import numpy as np
-import matplotlib.pyplot as plt
-from io import BytesIO
-from PIL import Image
+import requests, os
 
-API_URL = os.getenv("NEXFRAME_API_URL", "")   # e.g. https://xxxx.trycloudflare.com/v1/chat
-API_KEY = os.getenv("NEXFRAME_API_KEY", "")   # your secret from Colab
+# ---- set these in Hugging Face “Settings → Variables” ----
+API_URL = os.getenv("NEXFRAME_API_URL", "")
+API_KEY = os.getenv("NEXFRAME_API_KEY", "")
+# ----------------------------------------------------------
 
-# --- visual background generator ---
-def cmb_wave_frame(size=256, t=0.0):
-    """Create a red/blue coherent wave pattern."""
-    x = np.linspace(0, 4*math.pi, size)
-    y = np.linspace(0, 4*math.pi, size)
-    X, Y = np.meshgrid(x, y)
-    Z = np.sin(X + t) * np.cos(Y - t/2)
-    img = np.zeros((size, size, 3), dtype=np.uint8)
-    img[...,0] = ((Z+1)/2*255).astype(np.uint8)        # red
-    img[...,2] = ((1-Z)/2*255).astype(np.uint8)        # blue
-    return Image.fromarray(img)
-
-# --- local animation cache (first frame only) ---
-def cmb_background():
-    frame = cmb_wave_frame(size=256, t=random.random()*6.28)
-    buf = BytesIO()
-    frame.save(buf, format="PNG")
-    return buf.getvalue()
-
-# --- chat function (offline by default) ---
-def chat_with_nexframe(message):
+def talk_to_nexframe(user_input):
+    """
+    Sends user text to your Colab API (if running)
+    or shows an offline message when it's not connected.
+    """
     if not API_URL:
-        # offline demo mode
-        return "🧠 NexFrame is dormant. Start your Colab API and set NEXFRAME_API_URL.", cmb_background()
+        return "🧠 NexFrame is offline — add NEXFRAME_API_URL in Settings."
     try:
-        r = requests.post(API_URL,
-                          headers={"X-API-Key": API_KEY},
-                          json={"query": message, "k": 6}, timeout=30)
+        r = requests.post(
+            API_URL,
+            headers={"X-API-Key": API_KEY},
+            json={"query": user_input, "k": 6},
+            timeout=30,
+        )
         data = r.json()
-        answer = data.get("answer") or str(data)
+        return data.get("answer") or str(data)
     except Exception as e:
-        answer = f"[Connection error: {e}]"
-    return answer, cmb_background()
+        return f"[Connection error: {e}]"
 
-# --- build interface ---
-with gr.Blocks(css="""
-body {background: black;}
-""") as demo:
-    gr.HTML("<h1 style='color:white;text-align:center;'>🧬 NexFrame Conscious Matrix</h1>")
-    with gr.Row():
-        user_in = gr.Textbox(label="Your Input", placeholder="Type a question or message...", lines=2)
-    with gr.Row():
-        output = gr.Textbox(label="NexFrame Output", lines=8)
-    image_box = gr.Image(label="CMB-like Coherence Field", type="numpy")
-    btn = gr.Button("Send to NexFrame", variant="primary")
-    btn.click(chat_with_nexframe, inputs=user_in, outputs=[output, image_box])
+# ---- Gradio UI ----
+chat = gr.ChatInterface(
+    fn=talk_to_nexframe,
+    title="🧠 NexFrame Chat",
+    description="Rendered Frame Theory — ask anything",
+    examples=["What is Rendered Frame Theory?", "Explain τ_eff in simple terms"],
+)
 
-demo.launch()
+if __name__ == "__main__":
+    chat.launch()