Create app.py

app.py

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+import gradio as gr
+import requests
+import io
+import random
+import os
+from PIL import Image
+from deep_translator import GoogleTranslator
+
+# os.makedirs('assets', exist_ok=True)
+if not os.path.exists('icon.jpg'):
+    os.system("wget -O icon.jpg https://i.pinimg.com/564x/64/49/88/644988c59447eb00286834c2e70fdd6b.jpg")
+API_URL_DEV = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
+API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
+timeout = 100
+
+def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, huggingface_api_key=None, use_dev=False):
+    # Determine which API URL to use
+    api_url = API_URL_DEV if use_dev else API_URL
+
+    # Check if the request is an API call by checking for the presence of the huggingface_api_key
+    is_api_call = huggingface_api_key is not None
+
+    if is_api_call:
+        # Use the environment variable for the API key in GUI mode
+        API_TOKEN = os.getenv("HF_READ_TOKEN")
+        headers = {"Authorization": f"Bearer {API_TOKEN}"}
+    else:
+        # Validate the API key if it's an API call
+        if huggingface_api_key == "":
+            raise gr.Error("API key is required for API calls.")
+        headers = {"Authorization": f"Bearer {huggingface_api_key}"}
+
+    if prompt == "" or prompt is None:
+        return None
+
+    key = random.randint(0, 999)
+
+    prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
+    print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
+
+    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
+    print(f'\033[1mGeneration {key}:\033[0m {prompt}')
+
+    # If seed is -1, generate a random seed and use it
+    if seed == -1:
+        seed = random.randint(1, 1000000000)
+
+    payload = {
+        "inputs": prompt,
+        "is_negative": is_negative,
+        "steps": steps,
+        "cfg_scale": cfg_scale,
+        "seed": seed,
+        "strength": strength
+    }
+
+    response = requests.post(api_url, headers=headers, json=payload, timeout=timeout)
+    if response.status_code != 200:
+        print(f"Error: Failed to get image. Response status: {response.status_code}")
+        print(f"Response content: {response.text}")
+        if response.status_code == 503:
+            raise gr.Error(f"{response.status_code} : The model is being loaded")
+        raise gr.Error(f"{response.status_code}")
+    
+    try:
+        image_bytes = response.content
+        image = Image.open(io.BytesIO(image_bytes))
+        print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
+
+        # Save the image to a file and return the file path and seed
+        output_path = f"./output_{key}.png"
+        image.save(output_path)
+        
+        return output_path, seed
+    except Exception as e:
+        print(f"Error when trying to open the image: {e}")
+        return None, None
+
+css = """
+#app-container {
+    max-width: 600px;
+    margin-left: auto;
+    margin-right: auto;
+}
+#title-container {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+}
+#title-icon {
+    width: 32px; /* Adjust the width of the icon as needed */
+    height: auto;
+    margin-right: 10px; /* Space between icon and title */
+}
+#title-text {
+    font-size: 24px; /* Adjust font size as needed */
+    font-weight: bold;
+}
+"""
+
+with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
+    gr.HTML("""
+        <center>
+            <div id="title-container">
+                <img id="title-icon" src="icon.jpg" alt="Icon">
+                <h1 id="title-text">FLUX Capacitor</h1>
+            </div>
+        </center>
+    """)
+
+    with gr.Column(elem_id="app-container"):
+        with gr.Row():
+            with gr.Column(elem_id="prompt-container"):
+                with gr.Row():
+                    text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
+                with gr.Row():
+                    with gr.Accordion("Advanced Settings", open=False):
+                        negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
+                        steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=100, step=1)
+                        cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
+                        method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
+                        strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
+                        seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
+                        huggingface_api_key = gr.Textbox(label="Hugging Face API Key (required for API calls)", placeholder="Enter your Hugging Face API Key here", type="password", elem_id="api-key")
+                        use_dev = gr.Checkbox(label="Use Dev API", value=False, elem_id="use-dev-checkbox")
+
+        with gr.Row():
+            text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
+        with gr.Row():
+            image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
+            seed_output = gr.Textbox(label="Seed Used", elem_id="seed-output")
+        
+        # Adjust the click function to include the API key and use_dev as inputs
+        text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, huggingface_api_key, use_dev], outputs=[image_output, seed_output])
+
+app.launch(show_api=True, share=False)