added gradio

app.py

@@ -1,7 +1,21 @@
 from diffusers import DiffusionPipeline
+import gradio as gr
+import numpy as np
 
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
-pipe.load_lora_weights("gokaygokay/Flux-Game-Assets-LoRA-v2")
 
-prompt = "wbgmsst, 3D castle, white background"
-image = pipe(prompt).images[0]
+# Define a function that takes a text input and returns an image.
+def text_to_image(text : str):
+    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+    pipe.load_lora_weights("gokaygokay/Flux-Game-Assets-LoRA-v2")
+
+    prompt = text
+    image = pipe(prompt).images[0]
+    return image
+
+# Create a Gradio interface that takes a textbox input, runs it through the text_to_image function, and returns output to an image.
+demo = gr.Interface(fn=text_to_image, inputs="textbox", outputs="image")
+
+# Launch the interface.
+if __name__ == "__main__":
+    demo.launch(show_error=True)
+