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from fastapi import FastAPI, HTTPException |
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import base64 |
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import os |
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import sys |
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import uvicorn |
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from imagekitio import ImageKit |
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from imagekitio.models.ListAndSearchFileRequestOptions import ListAndSearchFileRequestOptions |
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from imagekitio.models.UploadFileRequestOptions import UploadFileRequestOptions |
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from fastapi.middleware.cors import CORSMiddleware |
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import base64 |
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from pydantic import BaseModel |
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app = FastAPI() |
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app.add_middleware( |
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CORSMiddleware, |
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allow_origins=["https://aiphotographer.github.io"], |
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allow_credentials=True, |
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allow_methods=["*"], |
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allow_headers=["*"], |
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) |
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imagekit = ImageKit( |
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public_key=os.environ.get("public_key"), |
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private_key=os.environ.get("private_key"), |
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url_endpoint=os.environ.get("url_endpoint") |
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) |
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@app.get("/") |
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def read_root(): |
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return { |
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"introduction": "Welcome to the AI Photo Creator App! Here's how to use it: " |
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"Step 1: 📸 Tell me what picture you want to take, and I will create one for you. " |
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"Step 2: 🌍 If you feel satisfied with the photo created by me, you can copy and paste " |
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"the photo address and share your photo on our crowd-sourced AI photography website." |
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} |
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@app.post("/image_upload") |
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async def upload_image(url): |
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try: |
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upload = imagekit.upload( |
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file=url, |
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file_name="image.jpg", |
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) |
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return {"message": "Uploaded successfully, check https://aiphotographer.github.io/photographer.html for your work!"} |
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except Exception as e: |
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return {"error": str(e)} |
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@app.get("/images_list") |
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async def get_images(): |
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list_files = imagekit.list_files(options=ListAndSearchFileRequestOptions(search_query='createdAt >= "7d"')) |
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list_files_sorted=sorted(list_files.response_metadata.raw, key=lambda x: x['createdAt'],reverse=True) |
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return list_files_sorted |
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if __name__ == "__main__": |
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import uvicorn |
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uvicorn.run(app, host="0.0.0.0", port=7860) |
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