Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
+
+# Load the FLUX.1-dev model from Hugging Face
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+# Define a function to generate an image based on the prompt
+def generate_image(prompt: str):
+    image = pipe(prompt).images[0]
+    return image
+
+# Create the Gradio interface
+iface = gr.Interface(fn=generate_image, 
+                     inputs="text", 
+                     outputs="image", 
+                     title="Text-to-Image with FLUX.1-dev",
+                     description="Enter a prompt to generate an image using the FLUX.1-dev model.")
+
+# Launch the app
+iface.launch()