Upload run_dpst.py with huggingface_hub

run_dpst.py

@@ -1,67 +1,67 @@
-
-import os
-os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
-
-import argparse
-import DPST
-
-def main():
-    parser = argparse.ArgumentParser(description="Run DPST text privatization")
-    parser.add_argument("--mode", type=str, default="50k", choices=["50k", "100k", "200k"],
-                        help="Clustering mode (default: 50k)")
-    parser.add_argument("--epsilon", type=float, default=10.0,
-                        help="Privacy budget epsilon (default: 10.0)")
-    parser.add_argument("--input", type=str, default=None,
-                        help="Input text file path (optional)")
-    parser.add_argument("--output", type=str, default=None,
-                        help="Output file path (optional, prints to stdout if not provided)")
-    parser.add_argument("--model", type=str, default="meta-llama/Llama-3.2-1B-Instruct",
-                        help="HuggingFace model checkpoint")
-    parser.add_argument("--token", type=str, default=os.environ.get("HF_TOKEN"),
-                        help="HuggingFace token for gated models (or set HF_TOKEN env var)")
-    parser.add_argument("--no-dp", action="store_true",
-                        help="Disable DP (for comparison)")
-
-    args = parser.parse_args()
-
-    if args.input:
-        print(f"Reading input from: {args.input}")
-        with open(args.input, 'r', encoding='utf-8') as f:
-            texts = [line.strip() for line in f if line.strip()]
-    else:
-        texts = [
-            "Perfect matched part at even better price.: The part fit my BMW perfect and the price was great. Thank you!",
-            "Fast response, quick delivery, product as advertised!  Great Seller: Fast response, quick delivery, product as advertised!  Great Seller",
-            "Enjoyed the experience!: I thoroughly enjoyed the experience of creating my own photo album and adding my own narratives.  I now have 6 of the Crewe photo books and I am really proud of them. The price is competitive and delivery and quality  excellent. Will definitely use again (can’t wait!) and would highly recommend the service to anyone. Well done Jessops"
-        ]
-        print("No input file provided. Using demo texts:")
-        for i, t in enumerate(texts, 1):
-            print(f"  {i}. {t}")
-
-    print(f"\nInitializing DPST with mode={args.mode}, model={args.model}...")
-    dpst_instance = DPST.DPST(mode=args.mode, hf_token=args.token, model_checkpoint=args.model)
-
-    print(f"Running privatization with epsilon={args.epsilon}, DP={not args.no_dp}...")
-    private_texts = dpst_instance.privatize(texts, epsilon=args.epsilon, DP=(not args.no_dp))
-
-    print("\n" + "="*80)
-    print("RESULTS")
-    print("="*80)
-
-    for i, (orig, priv) in enumerate(zip(texts, private_texts), 1):
-        print(f"\n[{i}] Original:")
-        print(f"    {orig}")
-        print(f"    Privatized:")
-        print(f"    {priv}")
-
-    if args.output:
-        with open(args.output, 'w', encoding='utf-8') as f:
-            for priv in private_texts:
-                f.write(priv + "\n")
-        print(f"\n✓ Saved privatized texts to: {args.output}")
-
-    dpst_instance.cleanup()
-    print("\n✓ Done!")
-
-if __name__ == "__main__":
-    main()
+
+import os
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+import argparse
+import DPST
+
+def main():
+    parser = argparse.ArgumentParser(description="Run DPST text privatization")
+    parser.add_argument("--mode", type=str, default="50k", choices=["50k", "100k", "200k"],
+                        help="Clustering mode (default: 50k)")
+    parser.add_argument("--epsilon", type=float, default=10.0,
+                        help="Privacy budget epsilon (default: 10.0)")
+    parser.add_argument("--input", type=str, default=None,
+                        help="Input text file path (optional)")
+    parser.add_argument("--output", type=str, default=None,
+                        help="Output file path (optional, prints to stdout if not provided)")
+    parser.add_argument("--model", type=str, default="meta-llama/Llama-3.2-1B-Instruct",
+                        help="HuggingFace model checkpoint")
+    parser.add_argument("--token", type=str, default=os.environ.get("HF_TOKEN"),
+                        help="HuggingFace token for gated models (or set HF_TOKEN env var)")
+    parser.add_argument("--no-dp", action="store_true",
+                        help="Disable DP (for comparison)")
+
+    args = parser.parse_args()
+
+    if args.input:
+        print(f"Reading input from: {args.input}")
+        with open(args.input, 'r', encoding='utf-8') as f:
+            texts = [line.strip() for line in f if line.strip()]
+    else:
+        texts = [
+            "Perfect matched part at even better price.: The part fit my BMW perfect and the price was great. Thank you!",
+            "Fast response, quick delivery, product as advertised!  Great Seller: Fast response, quick delivery, product as advertised!  Great Seller",
+            "Enjoyed the experience!: I thoroughly enjoyed the experience of creating my own photo album and adding my own narratives.  I now have 6 of the Crewe photo books and I am really proud of them. The price is competitive and delivery and quality  excellent. Will definitely use again (can’t wait!) and would highly recommend the service to anyone. Well done Jessops"
+        ]
+        print("No input file provided. Using demo texts:")
+        for i, t in enumerate(texts, 1):
+            print(f"  {i}. {t}")
+
+    print(f"\nInitializing DPST with mode={args.mode}, model={args.model}...")
+    dpst_instance = DPST.DPST(mode=args.mode, hf_token=args.token, model_checkpoint=args.model)
+
+    print(f"Running privatization with epsilon={args.epsilon}, DP={not args.no_dp}...")
+    private_texts = dpst_instance.privatize(texts, epsilon=args.epsilon, DP=(not args.no_dp))
+
+    print("\n" + "="*80)
+    print("RESULTS")
+    print("="*80)
+
+    for i, (orig, priv) in enumerate(zip(texts, private_texts), 1):
+        print(f"\n[{i}] Original:")
+        print(f"    {orig}")
+        print(f"    Privatized:")
+        print(f"    {priv}")
+
+    if args.output:
+        with open(args.output, 'w', encoding='utf-8') as f:
+            for priv in private_texts:
+                f.write(priv + "\n")
+        print(f"\n✓ Saved privatized texts to: {args.output}")
+
+    dpst_instance.cleanup()
+    print("\n✓ Done!")
+
+if __name__ == "__main__":
+    main()