Update app.py

app.py

@@ -1,7 +1,25 @@
 import gradio as gr
+from diffusers import AutoPipelineForText2Image, DPMSolverMultistepScheduler
+import torch
+import matplotlib.pyplot as plt
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the model
+def load_model():
+    pipe = AutoPipelineForText2Image.from_pretrained('lykon/dreamshaper-xl-v2-turbo', torch_dtype=torch.float16, variant="fp16")
+    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+    pipe = pipe.to("cuda")
+    return pipe
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Main function to generate image
+def generate_image(prompt):
+    pipe = load_model()
+    generator = torch.manual_seed(0)
+    image = pipe(prompt, num_inference_steps=6, guidance_scale=2).images[0]
+    return image
+
+# Define Gradio Interface
+inputs = gr.inputs.Textbox(lines=5, label="Enter your text prompt")
+output = gr.outputs.Image(label="Generated Image")
+
+# Create Gradio Interface
+gr.Interface(fn=generate_image, inputs=inputs, outputs=output, title="Text to Image Generation").launch()