Tidied up things

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+crop.gif filter=lfs diff=lfs merge=lfs -text

app.py

@@ -109,31 +109,19 @@ output = gr.Textbox(
             )
 
 # 5. Define custom CSS
-css = """
-body {
-    background-image: url("https://picsum.photos/seed/picsum/200/300");
-}
-"""
-gr.Interface(lambda x:x, "textbox", "textbox", css=css).launch(debug=True)
-
-#    background-size: cover;  /* Optional: Adjust how the image covers the background */
-#     background-repeat: no-repeat; /* Optional: Prevent the image from repeating */
-# }
-# .gradio-container { /*Ensure the main container has the background */
-#     min-height: 100vh;
-# }
+# Removed because this was a headache
 
 # 6. Create the gradio interface
-interface = gr.Interface(
+demo = gr.Interface(
     fn=prediction,  # Function to process the image
     inputs=inputs,  # Upload input
     outputs=output,  # Display output
     title="Agriculture Ai",
     description="Predict crop yield based on a number of environmental and care metrics",
-    css=css
+    theme=gr.themes.Citrus()
 )
 
 
 # 7. Launch the app
 if __name__ == "__main__":
-    interface.launch()
+    demo.launch()