Add mini-pricing.py script and update README

Introduces mini-pricing.py, a script that calculates total cost per miniature from STL feature CSVs, using resin cost and overhead constants. Updates the README with usage instructions for both stl-scanner.py and mini-pricing.py.

README.md

@@ -116,8 +116,9 @@ Weights are cached locally by `huggingface_hub` after the first download.
 
 ## CLI: Extract STL features with `trimesh`
 
-This project includes a small command-line script that scans STL files and exports geometric features to a CSV using `trimesh`.
-The resulting CSV file is ready-to-use with MiniRes.
+This project includes two small command-line scripts:
+1. `stl-scanner.py`: scans STL files and exports geometric features to a CSV using `trimesh`. The resulting CSV file is ready-to-use with MiniRes.
+2. `mini-pricing.py`: takes the resulting CSV from `stl-scanner.py` (or any other CSV) and calculates the total cost of each file for you.
 
 ### Script: `stl-scanner.py`
 
@@ -161,11 +162,28 @@ python stl-scaner.py --stl_path /path/to/model.stl --output_path ./out
 
 Process all STL files in a folder (non-recursive) and save the CSV to ./features:
 ```bash
-python extract_stl_features.py --stl_path /path/to/stls --output_path ./features
+python stl-scaner.py --stl_path /path/to/stls --output_path ./features
 ```
 
 After running the script, you’ll find `stl_features.csv` in the `output_path` folder, ready to be used as input for MiniRes or for your own analysis.
 
+### Script: `mini-pricing.py`
+
+Open the file with a text editor and adjust the constants at the top:
+```python
+RESIN_COST_PER_GRAM = 0.06   # in your currency, e.g. 0.06 = €0.06/gram
+OVERHEAD_PER_MINI = 1.50     # fixed overhead per miniature (packaging, time, etc.)
+INPUT_CSV = Path("stl_features.csv")
+OUTPUT_CSV = Path("mini_pricing.csv")
+```
+
+Run the script via terminal:
+```bash
+python mini-pricing.py
+```
+
+and inspect the resulting `minipricing.csv` for a list of all your miniatures, with their total cost.
+
 
 ## MIT License
 

mini-pricing.py

@@ -0,0 +1,36 @@
+from pathlib import Path
+
+import pandas as pd
+from minires import minires
+
+# ==== Edit these numbers for your context ====
+RESIN_COST_PER_GRAM = 0.06   # in your currency, e.g. 0.06 = €0.06/gram
+OVERHEAD_PER_MINI = 1.50     # fixed overhead per miniature (packaging, time, etc.)
+INPUT_CSV = Path("stl_features.csv")
+OUTPUT_CSV = Path("mini_pricing.csv")
+# =============================================
+
+def main() -> None:
+    if not INPUT_CSV.exists():
+        raise SystemExit(f"Input CSV not found: {INPUT_CSV}. "
+                         "Run stl-scanner.py first.")
+
+    # Load STL features produced by stl-scanner.py
+    df = pd.read_csv(INPUT_CSV)
+
+    # Create MiniRes ensemble model
+    model = minires(verbose=0)
+
+    # Predict resin usage in grams
+    grams = model.predict(df)
+
+    df["predicted_grams"] = grams
+    df["resin_cost"] = df["predicted_grams"] * RESIN_COST_PER_GRAM
+    df["overhead"] = OVERHEAD_PER_MINI
+    df["total_cost"] = df["resin_cost"] + df["overhead"]
+
+    df.to_csv(OUTPUT_CSV, index=False)
+    print(f"Wrote pricing table to {OUTPUT_CSV.resolve()}")
+
+if __name__ == "__main__":
+    main()