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a1a8a85 75f8bfc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | import re
import unicodedata
import google.generativeai as genai
from fastapi import HTTPException
from app.core.config import settings
# Configure Gemini API
genai.configure(api_key=settings.GOOGLE_API_KEY)
gemini_model = genai.GenerativeModel('gemini-2.0')
def clean_text(story: str) -> str:
"""Clean and normalize the generated text"""
cleaned_story = unicodedata.normalize("NFKD", story)
cleaned_story = re.sub(r'[\n\\]+', ' ', cleaned_story)
cleaned_story = re.sub(r'\s+', ' ', cleaned_story)
cleaned_story = (
cleaned_story.replace("“", "\"").replace("â€", "\"").replace("’", "'")
.replace("â€TMs", "'s").replace("“", "\"").replace("Ó", "O")
.replace("â", "").replace("�", "")
)
cleaned_story = cleaned_story.replace("\\", "")
return cleaned_story.strip()
async def refine_story(story: str) -> str:
"""Refine the story using the Gemini API with two-step refinement"""
try:
# First refinement
first_prompt = f"""
Refine the following story to make it coherent, grammatically correct, and fluent.
Maintain the original plot and ending, but enhance readability, fluency, and consistency:
{story}
"""
first_response = gemini_model.generate_content(first_prompt)
first_refined = first_response.text if hasattr(first_response, 'text') else str(first_response)
# Second refinement for final polishing
final_prompt = f"""
Please perform a final polish on this story to ensure perfect coherence,
flow, and narrative structure while maintaining the essence of the story:
{first_refined}
"""
final_response = gemini_model.generate_content(final_prompt)
final_refined = final_response.text if hasattr(final_response, 'text') else str(final_response)
return final_refined if final_refined else "No refined story generated."
except Exception as e:
print(f"Error in story refinement: {str(e)}")
return story # Return original story if refinement fails |