Filter training metadata from output

app.py

@@ -528,6 +528,15 @@ def generate(prompt: str, temperature: float, max_tokens: int, num_steps: int, g
             if is_v3:
                 gcode = gcode.replace("<newline>", "\n")
             
+            # Filter out training metadata lines
+            filtered_lines = []
+            for line in gcode.split("\n"):
+                # Skip metadata headers from training data
+                if line.startswith("Source:") or line.startswith(";Generated"):
+                    continue
+                filtered_lines.append(line)
+            gcode = "\n".join(filtered_lines)
+            
             print(f"Decoded gcode length: {len(gcode)} chars")
         
         gcode = validate_gcode(gcode)