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import os
import re
from pathlib import Path
import google.generativeai as genai
from PyPDF2 import PdfReader
from tqdm import tqdm
import logging
logger = logging.getLogger(__name__)
class GeminiProcessor:
def __init__(self):
self.api_key = os.getenv("GOOGLE_API_KEY")
if not self.api_key:
raise ValueError("GOOGLE_API_KEY not found")
genai.configure(api_key=self.api_key)
self.model = genai.GenerativeModel('gemini-pro')
def preprocess_text(self, text: str) -> str:
"""Enhanced preprocessing for screenplay text"""
logger.debug("Starting text preprocessing")
text = re.sub(r'<[^>]+>', '', text)
text = re.sub(r'\n(INT\.|EXT\.|INT\/EXT\.)\s*\n', '', text)
text = re.sub(r'\d+\.$', '', text, flags=re.MULTILINE)
text = re.sub(r'\(CONT\'D\)\d*', '', text)
text = re.sub(r'\s+([.,!?])', r'\1', text)
text = re.sub(r' +', ' ', text)
text = re.sub(r'\n{3,}', '\n\n', text)
lines = text.split('\n')
cleaned_lines = []
prev_line = None
for line in lines:
if not line.strip() or line == prev_line:
continue
if line.strip() in ['INT.', 'EXT.', 'INT/EXT.']:
continue
cleaned_lines.append(line)
prev_line = line
logger.debug("Text preprocessing complete")
return '\n'.join(cleaned_lines)
def split_into_scenes(self, text: str) -> list:
"""Split screenplay into scenes while preserving headers and content"""
logger.debug("Splitting into scenes")
scene_pattern = r'((?:INT\.|EXT\.|INT\/EXT\.)[^\n]+\n(?:(?!(?:INT\.|EXT\.|INT\/EXT\.))[^\n]+\n)*)'
scenes = re.findall(scene_pattern, text, re.MULTILINE)
valid_scenes = []
for scene in scenes:
scene = scene.strip()
if scene:
valid_scenes.append(scene)
logger.info(f"Found {len(valid_scenes)} scenes")
return valid_scenes
def clean_scene(self, scene: str) -> str:
"""Process a single scene through Gemini"""
prompt = f"""Fix ONLY spacing and indentation in this screenplay scene.
DO NOT modify any words or content. DO NOT add or remove lines.
Keep original capitalization and formatting:
{scene}"""
try:
response = self.model.generate_content(prompt)
if response.text:
cleaned = response.text
if abs(len(scene.split()) - len(cleaned.split())) <= 3:
return cleaned.strip()
return scene
except Exception as e:
logger.error(f"Error cleaning scene: {str(e)}")
return scene
def process_screenplay(self, pdf_path: str, output_path: str) -> bool:
"""Process entire screenplay"""
try:
logger.info(f"Processing screenplay: {pdf_path}")
with open(pdf_path, 'rb') as file:
pdf = PdfReader(file)
text = '\n'.join(page.extract_text() for page in pdf.pages)
text = self.preprocess_text(text)
scenes = self.split_into_scenes(text)
logger.info(f"Processing {len(scenes)} scenes")
cleaned_scenes = []
for i, scene in enumerate(scenes, 1):
logger.debug(f"Processing scene {i}/{len(scenes)}")
cleaned = self.clean_scene(scene)
if cleaned:
cleaned = self.preprocess_text(cleaned)
cleaned_scenes.append(cleaned)
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
with open(output_path, 'w', encoding='utf-8') as f:
f.write('\n\n'.join(cleaned_scenes))
logger.info("Screenplay processing complete")
return True
except Exception as e:
logger.error(f"Error processing screenplay: {str(e)}")
return False |