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app2.1.py
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from flask import Flask, request, jsonify, render_template
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import os
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import gradio as gr
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import requests
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from PIL import Image
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app = Flask(__name__)
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# Load Gradio Model
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model = gr.Interface.load("models/stabilityai/stable-diffusion-3.5-large")
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# Chevereto Configuration
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CHEVERETO_API_URL = os.environ.get("API_URL")
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CHEVERETO_API_KEY = os.environ.get("API_KEY")
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CHEVERETO_ALBUM_ID = os.environ.get("ALBUM_ID")
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def upload_to_chevereto(img_path: str) -> str:
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"""Uploads an image to Chevereto and returns the public image URL."""
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with open(img_path, "rb") as image_file:
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files = {"source": image_file}
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data = {
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"key": CHEVERETO_API_KEY,
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"format": "json",
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"album": CHEVERETO_ALBUM_ID
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}
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response = requests.post(CHEVERETO_API_URL, files=files, data=data)
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if response.status_code == 200:
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return response.json().get("image", {}).get("url")
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else:
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return f"Error uploading image: {response.text}"
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def generate_image_and_upload(prompt: str) -> str:
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"""Generates an image using AI and uploads it to Chevereto."""
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img = model(prompt) # Generate the image
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if isinstance(img, list):
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img = img[0]
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if isinstance(img, Image.Image):
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img_path = "generated_image.png"
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img.save(img_path, format="PNG") # Save image locally
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return upload_to_chevereto(img_path) # Upload and return URL
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else:
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return "Error: Model did not return a valid image"
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@app.route("/", methods=["GET"])
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def index():
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"""Renders the Star Trek-themed UI."""
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return render_template("index.html")
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@app.route("/generate", methods=["POST"])
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def generate():
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"""API Endpoint: Generate an image from a text prompt and upload it."""
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data = request.get_json()
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prompt = data.get("prompt", "")
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if not prompt:
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return jsonify({"error": "Missing prompt"}), 400
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image_url = generate_image_and_upload(prompt)
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return jsonify({"image_url": image_url})
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=7860)
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