changed pil image to filepath

app.py

@@ -4,7 +4,7 @@ import tensorflow as tf
 from tensorflow import keras
 
 # load the pre-trained model from the appropriate file path
-def predict_plant(image):
+def predict_plant(input_image):
     model = tf.keras.models.load_model('lukelike1001/my_model')
 
     # redefine values from the model
@@ -14,11 +14,10 @@ def predict_plant(image):
                    'jack_in_the_pulpit', 'poison_sumac',
                    'virginia_creeper', 'western_poison_ivy',
                    'western_poison_oak']
-    path = image
 
     # load the image into a variable
     img = tf.keras.utils.load_img(
-        path, target_size=(img_height, img_width)
+        input_image, target_size=(img_height, img_width)
     )
 
     # convert the image into a tensor and create a batch for testing
@@ -42,13 +41,14 @@ def predict_plant(image):
         )
     return "\n".join(output)
 
-# give the model a name
-title = "Leaftracker Demonstration"
+# describe the model
+title = "Leaftracker Interactive Model"
+description = "Image Classification Model For Identifying Toxic Plants from their Non-Toxic Look-Alikes"
 
 # launch the app
 app = gr.Interface(
     fn=predict_plant,
-    inputs=gr.Image(type="pil"),
+    inputs=gr.Image(type="filepath"),
     outputs="text",
     flagging_options=["incorrect", "other"],
 )