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Update app.py
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app.py
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from fastapi import FastAPI
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from pydantic import BaseModel
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import torch
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from diffusers import StableDiffusionPipeline
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import story_generator #
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app = FastAPI()
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# β
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class StoryRequest(BaseModel):
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theme: str
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reading_level: str
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# β
Load Image Model (Cartoon-Style)
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CACHE_DIR = "/tmp/huggingface"
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)
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@app.post("/generate_story_and_image")
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def generate_story_and_image(request: StoryRequest):
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"""Generates a story and an image based on the given theme and reading level."""
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@app.get("/")
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def home():
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return {"message": "Welcome to the Story & Image Generation API! Use /generate_story_and_image"}
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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import torch
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from diffusers import StableDiffusionPipeline
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import story_generator # β
Correctly importing the Story Generator
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app = FastAPI()
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# β
Define the input request format
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class StoryRequest(BaseModel):
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theme: str
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reading_level: str
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# β
Load AI Image Model (Cartoon-Style)
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CACHE_DIR = "/tmp/huggingface"
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try:
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pipe = StableDiffusionPipeline.from_pretrained(
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"nitrosocke/Arcane-Diffusion",
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cache_dir=CACHE_DIR,
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torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32
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)
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pipe.to("cuda" if torch.cuda.is_available() else "cpu")
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print("β
Image generation model loaded successfully.")
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except Exception as e:
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print(f"β Failed to load image model: {e}")
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pipe = None # Fallback if model fails
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@app.post("/generate_story_and_image")
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def generate_story_and_image(request: StoryRequest):
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"""Generates a story and an image based on the given theme and reading level."""
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try:
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print(f"π Generating story for theme: {request.theme} and level: {request.reading_level}")
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# β
Generate the story
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if not hasattr(story_generator, "generate_story_and_questions"):
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raise HTTPException(status_code=500, detail="Story generation function not found in story_generator.py")
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story_result = story_generator.generate_story_and_questions(request.theme, request.reading_level)
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story_text = story_result["story"]
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# β
Generate the image
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if not pipe:
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raise HTTPException(status_code=500, detail="Image generation model failed to load.")
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cartoon_prompt = f"A colorful, cartoon-style illustration of: {story_text}, vibrant colors, highly detailed, storybook fantasy."
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print("ποΈ Generating Image for:", cartoon_prompt[:100])
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image = pipe(cartoon_prompt, width=768, height=768).images[0] # β
Slightly smaller for faster generation
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# β
Save image
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image_path = "/tmp/generated_image.png"
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image.save(image_path)
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print("β
Image Saved!")
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return {
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"theme": request.theme,
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"reading_level": request.reading_level,
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"story": story_text,
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"questions": story_result["questions"],
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"image_url": f"https://your-api-url.com/generated_image.png" # Replace with actual host
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}
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except Exception as e:
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print(f"β Error generating story and image: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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# β
Welcome message at root
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@app.get("/")
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def home():
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return {"message": "π Welcome to the Story & Image Generation API! Use /generate_story_and_image"}
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