professor says good job after first config done

3d-generation-pipeline/README.md

@@ -7,7 +7,6 @@
 * npc character:
 	* klaas on näha temast eespool
 * shape detection:
-	* professor võiks öelda "good job, continue..." pärast esimest successi
 	* kui kõik configurationid tehtud, siis professor tuleb uksest välja ja ütleb "thank you"
 	* peab mängijale kuidagi selgitama, kuidas scale'ida prinditud objekte
 	* prinditud objekti scale'imisele min ja max size limiit

3d-generation-pipeline/generate_voiceline_amplitude_curves.py

@@ -6,9 +6,17 @@ import numpy as np
 FRAME_DURATION = 0.02  # 20 ms windows
 GAIN = 1.0             # multiply RMS values (set to e.g. 30.0 if you want larger values)
 EXTENSION = ".txt"     # output file extension
+OVERWRITE = False      # set True to regenerate even if .txt exists
 
 
 def process_wav(filepath):
+    # Compute output path first (so we can decide whether to skip)
+    out_path = os.path.splitext(filepath)[0] + EXTENSION
+
+    if not OVERWRITE and os.path.exists(out_path):
+        print(f"Skipping (already exists): {out_path}")
+        return
+
     print(f"Processing: {filepath}")
 
     # Load audio
@@ -29,7 +37,6 @@ def process_wav(filepath):
     rms = rms * GAIN
 
     # Save to .txt
-    out_path = os.path.splitext(filepath)[0] + EXTENSION
     np.savetxt(out_path, rms, fmt="%.8f")
 
     print(f"Saved RMS → {out_path}")
@@ -49,4 +56,4 @@ def process_folder(folder_path):
 # === Run script ===
 if __name__ == "__main__":
     folder = input("Enter folder path: ").strip()
-    process_folder(folder)
+    process_folder(folder)