Update app.py

app.py

@@ -1,3 +1,43 @@
 import gradio as gr
+import random
+import os
 
-gr.load("models/black-forest-labs/FLUX.1-schnell").launch()
+model = gr.load("models/black-forest-labs/FLUX.1-schnell")
+
+def generate_image(text, seed, width, height, guidance_scale, num_inference_steps):
+    if seed is not None:
+        random.seed(seed)
+
+    if text in [example[0] for example in examples]:
+        print(f"Using example: {text}")
+
+    result_image = model(text)
+    
+    print(f"Width: {width}, Height: {height}, Guidance Scale: {guidance_scale}, Inference Steps: {num_inference_steps}")
+    
+    return result_image
+
+def randomize_parameters():
+    seed = random.randint(0, 999999)
+    width = random.randint(512, 2048)
+    height = random.randint(512, 2048)
+    guidance_scale = round(random.uniform(0.1, 20.0), 1)
+    num_inference_steps = random.randint(1, 40)
+    
+    return seed, width, height, guidance_scale, num_inference_steps
+
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.Textbox(label="Type here your imagination:", placeholder="Type or click an example..."),
+        gr.Slider(label="Seed", minimum=0, maximum=999999, step=1),
+        gr.Slider(label="Width", minimum=512, maximum=2048, step=64, value=1024),
+        gr.Slider(label="Height", minimum=512, maximum=2048, step=64, value=1024),
+        gr.Slider(label="Guidance Scale", minimum=0.1, maximum=20.0, step=0.1, value=3.0),
+        gr.Slider(label="Number of inference steps", minimum=1, maximum=40, step=1, value=28),
+    ],
+    outputs=gr.Image(label="Generated Image"),
+    description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
+)
+
+interface.launch()