Update app.py

app.py

@@ -1,12 +1,17 @@
-
-from diffusers import StableDiffusionPipeline
+#  text to Image  on Gradio UI 
 import torch
+from diffusers import DiffusionPipeline
+import gradio as gr
+
+
+# Provide the file path to your locally stored model file
+model_file_path = "/model/file/path/to/model/directory/"
 
 # Provide the url to model id
 url = "runwayml/stable-diffusion-v1-5"
 
-# Load the safetensor model
-pipe = DiffusionPipeline.from_pretrained(model_file_path, use_safetensors=True )
+# Load the safetensor model 
+pipe = DiffusionPipeline.from_pretrained(url, torch_dtype=torch.float16)
 pipe = pipe.to("mps")
 
 def predict(text):
@@ -15,7 +20,6 @@ def predict(text):
     return generated_image
 
 
-
 iface = gr.Interface(
     fn=predict,
     inputs='text',