import gradio as gr
from transformers import pipeline
   from diffusers import DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained("cloudqi/cqi_text_to_image_pt_v0")

   inputs = gr.inputs.Textbox(prompt="Enter Text Description")
   outputs = gr.outputs.Image(label="Generated Image")

   iface = gr.Interface(fn=generate_images, inputs=inputs, outputs=outputs, title="Description to Image")
   iface.disable_caching=True  # Disable caching to ensure the model is reloaded each time the app is opened

   if __name__ == "__main__":
       iface.launch()