Delete app.py

app.py

@@ -1,41 +0,0 @@
-# import gradio as gr
-
-# gr.Interface.load("models/KaraAgroAI/CADI-AI").launch()
-
-import gradio as gr
-# import cv2
-# import requests
-# import os
-from PIL import Image
-import torch
-import ultralytics
-
-model = torch.hub.load("ultralytics/yolov5", "custom", path="yolov5_0.65map_exp7_best.pt",
-                        force_reload=False) 
-
-model.conf = 0.20  # NMS confidence threshold
-
-# sample test images
-path  = [['sample-images/27.jpg', 'sample-images/82.jpg', 'sample-images/91.jpg']]
-
-def show_preds_image(im):
-
-    results = model(im)  # inference
-    return results.render()[0]
-
-inputs_image = [
-    gr.components.Image(type="filepath", label="Input Image"),
-]
-outputs_image = [
-    gr.components.Image(type="filepath", label="Output Image"),
-]
-interface_image = gr.Interface(
-    fn=show_preds_image,
-    inputs=inputs_image,
-    outputs=outputs_image,
-    title="Cashew Disease Identification with AI",
-    examples=path,
-    cache_examples=False,
-)
-
-interface_image.launch()