starting on upload image functionality

app.py

@@ -10,6 +10,7 @@ from os.path import exists, dirname
 import sys
 import json
 import flask
+from PIL import Image
 
 parent_dir = dirname(os.path.abspath(os.getcwd()))
 sys.path.append(parent_dir)
@@ -31,11 +32,15 @@ def get_image_data(image_name):
 def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
     print("Inputs Received:", image_name, c_width, n_top, n_gif_imgs)
 
+    print("imagename", image_name.filename)
+
+    return "yeehaw"
+
     # cred_width = c_width
     # n_top_segs = n_top
     # n_gif_images = n_gif_imgs
     image, model_and_data = get_image_data(image_name)
-    print("model_and_data", model_and_data)
+    # print("model_and_data", model_and_data)
     # Unpack datax
     xtest = model_and_data["xtest"]
     ytest = model_and_data["ytest"]
@@ -86,7 +91,8 @@ if __name__ == "__main__":
     # gradio's image inputs look like this: <PIL.Image.Image image mode=RGB size=305x266 at 0x7F3D01C91FA0>
     # need to learn how to handle image inputs, or deal with file inputs or just file path strings
     inp = gr.inputs.Textbox(lines=1, placeholder="Select an example from below", default="", label="Input Image Path", optional=False)
-    out = [gr.outputs.HTML(label="Output GIF"), 'text']
+    out = 'text'
+    # out = [gr.outputs.HTML(label="Output GIF"), gr.outputs.Textbox(label="Prediction")]
 
     iface = gr.Interface(
         segmentation_generation,