update code to pass entire py file as an input

doc_generator.py

@@ -1,13 +1,58 @@
 import argparse
-from DocuFlow.file_traverser import run_doc_generator
+import os
+import sys
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+def summarize_code(code_snippet, tokenizer, model):
+    inputs = tokenizer.encode(code_snippet, return_tensors='pt', truncation=True, max_length=512)
+    outputs = model.generate(
+        inputs,
+        max_length=150,
+        num_beams=4,
+        early_stopping=True,
+        no_repeat_ngram_size=2
+    )
+    summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return summary.strip()
+
+def generate_description(file_path, model_name='Salesforce/codet5-small'):
+    # Load the tokenizer and model
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+    # Read the entire code file
+    with open(file_path, 'r', encoding='utf-8') as file:
+        code = file.read()
+
+    # Summarize the code
+    print("Summarizing the code...")
+    module_summary = summarize_code(code, tokenizer, model)
+
+    # Prepare markdown content
+    md_content = f"# Module Summary\n\n{module_summary}\n"
+
+    return md_content
 
 def main():
-    parser = argparse.ArgumentParser(description="Generate Markdown documentation from Python code.")
-    parser.add_argument('project_path', help="Path to the Python project")
-    parser.add_argument('--output', default='docs', help="Output directory for documentation")
-
+    parser = argparse.ArgumentParser(description='Generate markdown description from Python file.')
+    parser.add_argument('file_path', help='Path to the Python (.py) file.')
+    parser.add_argument('--model-name', default='Salesforce/codet5-small', help='Name of the open-source LLM to use.')
     args = parser.parse_args()
-    run_doc_generator(args.project_path, args.output)
 
-if __name__ == "__main__":
+    file_path = args.file_path
+    model_name = args.model_name
+
+    if not os.path.isfile(file_path):
+        print(f"File {file_path} does not exist.")
+        sys.exit(1)
+
+    description = generate_description(file_path, model_name)
+
+    md_file_path = os.path.splitext(file_path)[0] + '.md'
+    with open(md_file_path, 'w', encoding='utf-8') as md_file:
+        md_file.write(description)
+
+    print(f"Markdown description generated and saved to {md_file_path}")
+
+if __name__ == '__main__':
     main()

example_project/advance_script.py

@@ -0,0 +1,68 @@
+import requests
+from abc import ABC, abstractmethod
+
+class DataFetcher(ABC):
+    """Abstract base class for data fetchers."""
+
+    @abstractmethod
+    def fetch(self, source):
+        """Fetch data from a source."""
+        pass
+
+class HTTPDataFetcher(DataFetcher):
+    """Fetch data over HTTP."""
+
+    def fetch(self, url):
+        """Fetch data from a URL."""
+        try:
+            response = requests.get(url)
+            response.raise_for_status()
+            return response.text
+        except requests.RequestException as e:
+            print(f"Error fetching data from {url}: {e}")
+            return None
+
+class FileDataFetcher(DataFetcher):
+    """Fetch data from a local file."""
+
+    def fetch(self, file_path):
+        """Fetch data from a file."""
+        try:
+            with open(file_path, 'r') as file:
+                return file.read()
+        except IOError as e:
+            print(f"Error reading file {file_path}: {e}")
+            return None
+
+class DataProcessor:
+    """Process data fetched from a source."""
+
+    def __init__(self, fetcher):
+        self.fetcher = fetcher
+
+    def process(self, source):
+        """Fetch and process data from the source."""
+        data = self.fetcher.fetch(source)
+        if data:
+            print(f"Processing data from {source}")
+            # Add processing logic here
+            return data
+        else:
+            print(f"No data to process from {source}")
+            return None
+
+def main():
+    url = 'https://api.github.com'
+    file_path = 'data.txt'
+
+    http_fetcher = HTTPDataFetcher()
+    file_fetcher = FileDataFetcher()
+
+    http_processor = DataProcessor(http_fetcher)
+    file_processor = DataProcessor(file_fetcher)
+
+    http_data = http_processor.process(url)
+    file_data = file_processor.process(file_path)
+
+if __name__ == '__main__':
+    main()

example_project/intermediate_script.py

@@ -0,0 +1,35 @@
+import json
+
+class Person:
+    """A class representing a person."""
+
+    def __init__(self, name, age):
+        """Initialize the person's name and age."""
+        self.name = name
+        self.age = age
+
+    def to_json(self):
+        """Convert the person's data to JSON."""
+        try:
+            return json.dumps({'name': self.name, 'age': self.age})
+        except TypeError as e:
+            print(f"Error converting to JSON: {e}")
+            return None
+
+def load_people(file_path):
+    """Load a list of people from a JSON file."""
+    try:
+        with open(file_path, 'r') as file:
+            people_data = json.load(file)
+            return [Person(**data) for data in people_data]
+    except (IOError, json.JSONDecodeError) as e:
+        print(f"Error loading people from {file_path}: {e}")
+        return []
+
+if __name__ == '__main__':
+    alice = Person('Alice', 30)
+    print(alice.to_json())
+
+    people = load_people('people.json')
+    for person in people:
+        print(f"{person.name} is {person.age} years old.")

example_project/simple_script.py

@@ -0,0 +1,10 @@
+import math
+
+def calculate_area(radius):
+    """Calculate the area of a circle given its radius."""
+    return math.pi * radius ** 2
+
+if __name__ == '__main__':
+    r = 5
+    area = calculate_area(r)
+    print(f"The area of a circle with radius {r} is {area:.2f}")