make scripts executable (#1555)

gpt4all-training/build_map.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import numpy as np
 from nomic import atlas
 import glob
@@ -51,4 +52,4 @@ atlas.map_embeddings(embeddings,
                      colorable_fields=["source", "loss", "trained_on"],
                      build_topic_model=True,
                      topic_label_field="inputs",
-                     reset_project_if_exists=True,)
+                     reset_project_if_exists=True,)

gpt4all-training/clean.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import numpy as np
 import glob
 import os
@@ -71,4 +72,4 @@ for file in glob.glob(os.path.join(prompt_generation_dir, "*.jsonl")):
 
     clean_name = file.split(".jsonl")[0] + "_clean.jsonl"
     print(f"writing to {curr_len} rows to {clean_name}")
-    df.to_json(clean_name, orient="records", lines=True)
+    df.to_json(clean_name, orient="records", lines=True)

gpt4all-training/eval_figures.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import glob
 import pickle
 import numpy as np

gpt4all-training/eval_self_instruct.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import json
 import torch
 import pickle

gpt4all-training/generate.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModelForCausalLM
 from read import read_config

gpt4all-training/inference.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 import torch.nn as nn

gpt4all-training/train.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import os
 from transformers import AutoModelForCausalLM, AutoTokenizer, get_scheduler
 import torch