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import os |
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import time |
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import requests |
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import gradio as gr |
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import uuid |
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HF_API_KEY = os.getenv("HF_TOKEN") |
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CHEVERETO_API_URL = os.getenv("API_URL") |
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CHEVERETO_API_KEY = os.getenv("API_KEY") |
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CHEVERETO_ALBUM_ID = os.getenv("ALBUM_ID") |
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EXPECTED_API_KEY = os.getenv("API_PASS") |
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HEADERS = {"Authorization": f"Bearer {HF_API_KEY}"} |
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def generate_random_filename(extension: str) -> str: |
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return str(uuid.uuid4()) + extension |
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def validate_api_key(api_key: str) -> bool: |
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return api_key == EXPECTED_API_KEY |
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def generate_image(prompt: str, model_name: str): |
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hf_api_url = f"https://api-inference.huggingface.co/models/{model_name}" |
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response = requests.post(hf_api_url, headers=HEADERS, json={"inputs": prompt}) |
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if response.status_code == 200: |
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image_data = response.content |
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random_filename = generate_random_filename(".png") |
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image_path = f"/tmp/{random_filename}" |
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with open(image_path, "wb") as f: |
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f.write(image_data) |
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return image_path |
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else: |
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return f"Error generating image: {response.text}" |
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def upload_to_chevereto(image_path: str): |
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with open(image_path, "rb") as img_file: |
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files = {"source": img_file} |
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data = {"key": CHEVERETO_API_KEY, "format": "json", "album_id": CHEVERETO_ALBUM_ID} |
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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_and_upload(prompt: str, model_name: str, api_key: str): |
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if not validate_api_key(api_key): |
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return "Invalid or missing API key", "" |
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img_path = generate_image(prompt, model_name) |
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if "Error" in img_path: |
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return img_path, "" |
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url = upload_to_chevereto(img_path) |
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return img_path, url |
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with gr.Blocks(theme='NoCrypt/miku') as app: |
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gr.HTML( |
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""" |
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<h1 style='text-align: center; color: red; font-size: 20px; font-weight: bold;'>♥ Tasia API on Marty Space ♥</h1> |
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<h1 style='text-align: center; color: red; font-size: 20px; font-weight: bold;'> most used model: stabilityai/stable-diffusion-3.5-large :) enjoy♥</h1> |
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""" |
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) |
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with gr.Row(): |
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prompt_input = gr.Textbox(label="Enter a prompt:", placeholder="A futuristic spaceship...") |
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model_input = gr.Textbox(label="Enter model name:", placeholder="stabilityai/stable-diffusion-3.5-large") |
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api_key_input = gr.Textbox(label="Enter your API key:", type="password", placeholder="Your secret API key") |
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generate_button = gr.Button("Generate & Upload") |
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image_output = gr.Image(label="Generated Image") |
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url_output = gr.Textbox(label="Image URL", interactive=False) |
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generate_button.click( |
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fn=generate_and_upload, |
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inputs=[prompt_input, model_input, api_key_input], |
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outputs=[image_output, url_output] |
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) |
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gr.HTML( |
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""" |
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<h1 style='text-align: center; color: red; font-size: 20px; font-weight: bold;'>♥ Made by Tasia with ♥</h1> |
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""" |
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) |
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app.launch(server_port=7860) |
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