rearrange app.py

app.py

@@ -111,25 +111,23 @@ net = load_u2net()
 inpainting_pipeline = load_inpainting_pipeline()
 st.title("Stable Fashion Huggingface Spaces")
 file_name = st.file_uploader("Upload a clear full length picture of yourself, preferably in a less noisy background")
+stable_fashion_args = StableFashionCLIArgs()
+stable_fashion_args.image = file_name
+body_part = st.radio("Would you like to try clothes on your upper body (such as shirts, kurtas etc) or lower (Jeans, Pants etc)? ", ('Upper', 'Lower'))
+stable_fashion_args.part = body_part
+resolution = st.radio("Which resolution would you like to get the resulting picture in? (Keep in mind, higher the resolution, higher the queue times)", (128, 256, 512))
+stable_fashion_args.resolution = resolution
+rembg_status = st.radio("Would you like to remove background in your image before putting new clothes on you? (Sometimes it results in better images)", ("Yes", "No"), index=1)
+stable_fashion_args.rembg = (rembg_status == "Yes")
+guidance_scale = st.slider("Select a guidance scale. 7.5 gives the best results.", 1.0, 15.0, value=7.5)
+stable_fashion_args.guidance_scale = guidance_scale
+prompt = st.text_input('Write the description of cloth you want to try', 'a bright yellow t shirt')
+stable_fashion_args.prompt = prompt
+
+num_steps = st.slider("No. of inference steps for the diffusion process", 5, 50, value=25)
 
 
 if file_name is not None:
-    stable_fashion_args = StableFashionCLIArgs()
-    stable_fashion_args.image = file_name
-    body_part = st.radio("Would you like to try clothes on your upper body (such as shirts, kurtas etc) or lower (Jeans, Pants etc)? ", ('Upper', 'Lower'))
-    stable_fashion_args.part = body_part
-    resolution = st.radio("Which resolution would you like to get the resulting picture in? (Keep in mind, higher the resolution, higher the queue times)", (128, 256, 512))
-    stable_fashion_args.resolution = resolution
-    rembg_status = st.radio("Would you like to remove background in your image before putting new clothes on you? (Sometimes it results in better images)", ("Yes", "No"), index=1)
-    stable_fashion_args.rembg = (rembg_status == "Yes")
-    guidance_scale = st.slider("Select a guidance scale. 7.5 gives the best results.", 1.0, 15.0, value=7.5)
-    stable_fashion_args.guidance_scale = guidance_scale
-    prompt = st.text_input('Write the description of cloth you want to try', 'a bright yellow t shirt')
-    stable_fashion_args.prompt = prompt
-
-    num_steps = st.slider("No. of inference steps for the diffusion process", 5, 50, value=25)
-
-
     result_image = process_image(stable_fashion_args, inpainting_pipeline, net)
     st.image(result_image, caption='Result')