kopia lustrzana https://github.com/biobootloader/wolverine
Merge branch 'main' into twsomt/main
commit
43d1d17d96
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@ -23,11 +23,11 @@ _warning!_ By default wolverine uses GPT-4 and may make many repeated calls to t
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To run with gpt-4 (the default, tested option):
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python wolverine.py buggy_script.py "subtract" 20 3
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python -m wolverine examples/buggy_script.py "subtract" 20 3
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You can also run with other models, but be warned they may not adhere to the edit format as well:
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python wolverine.py --model=gpt-3.5-turbo buggy_script.py "subtract" 20 3
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python -m wolverine --model=gpt-3.5-turbo examples/buggy_script.py "subtract" 20 3
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If you want to use GPT-3.5 by default instead of GPT-4 uncomment the default model line in `.env`:
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@ -35,7 +35,7 @@ If you want to use GPT-3.5 by default instead of GPT-4 uncomment the default mod
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You can also use flag `--confirm=True` which will ask you `yes or no` before making changes to the file. If flag is not used then it will apply the changes to the file
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python wolverine.py buggy_script.py "subtract" 20 3 --confirm=True
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python -m wolverine examples/buggy_script.py "subtract" 20 3 --confirm=True
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## Future Plans
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@ -1,5 +1,9 @@
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import sys
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import fire
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"""
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Run With: `wolverine examples/buggy_script.py "subtract" 20 3`
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Purpose: Show self-regenerating fixing of subtraction operator
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"""
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def add_numbers(a, b):
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return a + b
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@ -0,0 +1,27 @@
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#!/usr/bin/env python3
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import fire
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"""
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Run With: with `python wolverine.py examples/buggy_script_2.py`
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Purpose: Fix singleton code bug in Python
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"""
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class SingletonClass(object):
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def __new__(cls):
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cls.instance = super(SingletonClass, cls).__new__(cls)
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return cls.instance
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def check_singleton_works():
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"""
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check that singleton pattern is working
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"""
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singleton = SingletonClass()
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new_singleton = SingletonClass()
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singleton.a = 1
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new_singleton.a = 2
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should_be_4 = (singleton.a + new_singleton.a)
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assert should_be_4 == 4
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if __name__=="__main__":
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fire.Fire(check_singleton_works)
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@ -0,0 +1,2 @@
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-r requirements.txt
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pytest==7.3.1
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@ -0,0 +1,56 @@
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import os
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import json
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import pytest
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import tempfile
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from wolverine import apply_changes, json_validated_response
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@pytest.fixture(scope='function')
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def temp_file():
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# Create a temporary file
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with tempfile.NamedTemporaryFile(mode="w", delete=False) as f:
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f.write("first line\nsecond line\nthird line")
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file_path = f.name
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yield file_path
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# Clean up the temporary file
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os.remove(file_path)
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def test_apply_changes_replace(temp_file):
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# Make a "replace" change to the second line
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changes = [
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{"operation": "Replace", "line": 2, "content": "new second line"}
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]
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apply_changes(temp_file, changes)
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# Check that the file was updated correctly
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with open(temp_file) as f:
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content = f.read()
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assert content == "first line\nnew second line\nthird line"
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def test_apply_changes_delete(temp_file):
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# Make a "delete" change to the third line
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changes = [
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{"operation": "Delete", "line": 3, "content": ""},
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]
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apply_changes(temp_file, changes)
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# Check that the file was updated correctly
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with open(temp_file) as f:
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content = f.read()
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assert content == "first line\nsecond line\n"
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def test_apply_changes_insert(temp_file):
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# Make an "insert" change after the second line
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changes = [
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{"operation": "InsertAfter", "line": 2, "content": "inserted line"},
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]
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apply_changes(temp_file, changes)
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# Check that the file was updated correctly
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with open(temp_file) as f:
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content = f.read()
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assert content == 'first line\nsecond line\ninserted line\nthird line'
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@ -0,0 +1 @@
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from .wolverine import apply_changes, json_validated_response
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@ -0,0 +1,6 @@
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import fire
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from .wolverine import main
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if __name__ == "__main__":
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fire.Fire(main)
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@ -5,7 +5,6 @@ import shutil
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import subprocess
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import sys
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import fire
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import openai
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from dotenv import load_dotenv
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from termcolor import cprint
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@ -73,8 +72,10 @@ def json_validated_response(model, messages):
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messages.append(
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{
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"role": "user",
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"content": """Your response could not be parsed by json.loads.
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Please restate your last message as pure JSON.""",
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"content": (
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"Your response could not be parsed by json.loads. "
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"Please restate your last message as pure JSON."
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),
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}
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)
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# rerun the api call
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@ -150,9 +151,13 @@ def apply_changes(file_path, changes: list, confirm=False):
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elif operation == "InsertAfter":
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file_lines.insert(line, content + "\n")
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# Ask for user confirmation before writing changes
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print("\nChanges to be made:")
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# Print explanations
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cprint("Explanations:", "blue")
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for explanation in explanations:
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cprint(f"- {explanation}", "blue")
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# Display changes diff
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print("\nChanges to be made:")
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diff = difflib.unified_diff(original_file_lines, file_lines, lineterm="")
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for line in diff:
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if line.startswith("+"):
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@ -162,8 +167,8 @@ def apply_changes(file_path, changes: list, confirm=False):
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else:
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print(line, end="")
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# Checking if user used confirm flag
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if confirm:
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# check if user wants to apply changes or exit
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confirmation = input("Do you want to apply these changes? (y/n): ")
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if confirmation.lower() != "y":
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print("Changes not applied")
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@ -171,27 +176,20 @@ def apply_changes(file_path, changes: list, confirm=False):
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with open(file_path, "w") as f:
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f.writelines(file_lines)
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# Print explanations
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cprint("Explanations:", "blue")
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for explanation in explanations:
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cprint(f"- {explanation}", "blue")
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# Show the diff
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print("\nChanges:")
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diff = difflib.unified_diff(
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original_file_lines, file_lines, lineterm="")
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for line in diff:
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if line.startswith("+"):
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cprint(line, "green", end="")
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elif line.startswith("-"):
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cprint(line, "red", end="")
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else:
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print(line, end="")
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print("Changes applied.")
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def check_model_availability(model):
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available_models = [x['id'] for x in openai.Model.list()["data"]]
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if model not in available_models:
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print(
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f"Model {model} is not available. Perhaps try running with "
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"`--model=gpt-3.5-turbo` instead? You can also configure a "
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"default model in the .env"
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)
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exit()
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def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=False):
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if revert:
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backup_file = script_name + ".bak"
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@ -203,6 +201,9 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
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print(f"No backup file found for {script_name}")
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sys.exit(1)
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# check if model is available
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check_model_availability(model)
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# Make a backup of the original script
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shutil.copy(script_name, script_name + ".bak")
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@ -213,10 +214,10 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
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cprint("Script ran successfully.", "blue")
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print("Output:", output)
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break
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else:
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cprint("Script crashed. Trying to fix...", "blue")
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print("Output:", output)
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json_response = send_error_to_gpt(
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file_path=script_name,
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args=script_args,
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@ -226,7 +227,3 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
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apply_changes(script_name, json_response, confirm=confirm)
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cprint("Changes applied. Rerunning...", "blue")
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if __name__ == "__main__":
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fire.Fire(main)
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