still initial commit

app.py

@@ -3,7 +3,6 @@ import cv2
 import numpy as np
 import gradio as gr
 import modal
-from fastrtc import WebRTC, get_cloudflare_turn_credentials
 
 # ── Modal Backend ───────────────────────────────────────────────────────────
 try:
@@ -21,26 +20,6 @@ except Exception as e:
 status_color = "🟢" if voxel_backend is not None else "🔴"
 status_text  = "Connected" if voxel_backend is not None else "Offline"
 
-
-# ── WebRTC Configuration Fallback ───────────────────────────────────────────
-def get_safe_rtc_configuration():
-    """
-    Prevents startup crashes if Cloudflare or HF tokens are missing from the environment.
-    Falls back gracefully to standard public Google STUN routing if name resolution drops out.
-    """
-    has_hf = bool(os.environ.get("HF_TOKEN"))
-    has_cf = bool(os.environ.get("CLOUDFLARE_TURN_KEY_ID") and os.environ.get("CLOUDFLARE_TURN_KEY_API_TOKEN"))
-    
-    if has_hf or has_cf:
-        try:
-            return get_cloudflare_turn_credentials()
-        except Exception as e:
-            print(f"⚠️ Failed to fetch Cloudflare TURN credentials: {e}")
-            
-    print("ℹ️ Missing credentials for Cloudflare TURN. Falling back to public Google STUN server.")
-    return {"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]}
-
-
 # ── Helpers ─────────────────────────────────────────────────────────────────
 def _offline_frame(frame: np.ndarray, message: str) -> np.ndarray:
     """Generates a styled placeholder frame when backend is offline."""
@@ -50,9 +29,8 @@ def _offline_frame(frame: np.ndarray, message: str) -> np.ndarray:
                 cv2.FONT_HERSHEY_DUPLEX, 0.8, (0, 0, 220), 2)
     return out
 
-
 def _run_voxel_backend(frame: np.ndarray) -> np.ndarray:
-    """Encodes and ships raw image bytes to the Modal worker without extra parameters."""
+    """Encodes and ships raw image bytes to the Modal worker."""
     success, encoded = cv2.imencode(".jpg", frame, [int(cv2.IMWRITE_JPEG_QUALITY), 85])
     if not success:
         return frame
@@ -66,12 +44,10 @@ def _run_voxel_backend(frame: np.ndarray) -> np.ndarray:
                     cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 255), 1)
         return out
 
-
 # ── Core Stream Handler ─────────────────────────────────────────────────────
 def process_video_stream(frame: np.ndarray, mode: str) -> np.ndarray:
     """
-    Unified real-time handler mapping directly to FastRTC's stream pipeline.
-    Accepts incoming frame from the WebRTC component and the mode dropdown selection.
+    Accepts incoming frame from the webcam and the mode dropdown selection.
     """
     if frame is None:
         return None
@@ -101,7 +77,6 @@ def process_video_stream(frame: np.ndarray, mode: str) -> np.ndarray:
 
     return processed
 
-
 # ── Custom Gradio Interface Layout ──────────────────────────────────────────
 with gr.Blocks(title="⛏️ Minecraft Spatial Voxel Filter") as demo:
     gr.Markdown("# ⛏️ Minecraft Spatial Voxel Filter")
@@ -109,7 +84,7 @@ with gr.Blocks(title="⛏️ Minecraft Spatial Voxel Filter") as demo:
     with gr.Row():
         # Configuration Settings & Status (Left Side Box)
         with gr.Column(scale=1):
-            status_md = gr.Markdown(
+            gr.Markdown(
                 f"### ⚡ Backend Connection Status\n"
                 f"Status: {status_color} **{status_text}**\n\n"
                 f"Switching between pipeline modes instantly updates your active viewport feed."
@@ -122,22 +97,16 @@ with gr.Blocks(title="⛏️ Minecraft Spatial Voxel Filter") as demo:
                 interactive=True,
             )
             
-        # Contained Video Box Viewport (Right Side Box)
+        # Standard Gradio Streaming Setup (Right Side Box)
         with gr.Column(scale=2):
-            webrtc_stream = WebRTC(
-                label="Live Filter Stream",
-                modality="video",
-                mode="send-receive",
-                rtc_configuration=get_safe_rtc_configuration(),
-            )
+            input_stream = gr.Image(sources=["webcam"], streaming=True, label="Live Webcam Input")
+            output_stream = gr.Image(interactive=False, label="Voxel Output Viewport")
 
-    # Explicitly attach the handler to the custom WebRTC component
-    webrtc_stream.stream(
+    # Native Gradio stream event triggers whenever a new frame comes from the webcam
+    input_stream.stream(
         fn=process_video_stream,
-        inputs=[webrtc_stream, mode_dropdown],
-        outputs=[webrtc_stream],
-        time_limit=150,
-        concurrency_limit=4,
+        inputs=[input_stream, mode_dropdown],
+        outputs=[output_stream]
     )
 
 if __name__ == "__main__":