⭐ fix: content extraction

README.md

@@ -62,10 +62,10 @@ gptdeploy generate \
 --path </path/to/local/folder>
 ```
 To generate your personal microservice two things are required:
-- A `description` of the task you want to accomplish.
+- A `description` of the task you want to accomplish. (optional)
 - The `model` you want to use - either `gpt-3.5` or `gpt-4`. `gpt-3.5` is ~10x cheaper, 
-but will not be able to generate as complex microservices.
-- A `path` on the local drive where the microservice will be generated.
+but will not be able to generate as complex microservices. (default: largest you have access to)
+- A `path` on the local drive where the microservice will be generated. (default: ./microservice)
 
 The creation process should take between 5 and 15 minutes.
 During this time, GPT iteratively builds your microservice until it finds a strategy that make your test scenario pass.

src/options/generate/generator.py

@@ -46,7 +46,7 @@ class Generator:
 
     def extract_content_from_result(self, plain_text, file_name, match_single_block=False, can_contain_code_block=True):
         optional_line_break = '\n' if can_contain_code_block else ''  # the \n at the end makes sure that ``` within the generated code is not matched because it is not right before a line break
-        pattern = fr"\*?\*?{file_name}\*?\*?\n```(?:\w+\n)?([\s\S]*?){optional_line_break}```"
+        pattern = fr"(?:\*|\*\*| ){file_name}\*?\*?\n```(?:\w+\n)?([\s\S]*?){optional_line_break}```"
         matches = re.findall(pattern, plain_text, re.MULTILINE)
         if matches:
             return matches[-1].strip()