Delete app.py

app.py

@@ -1,36 +0,0 @@
-from model import SurfinBird
-from torchvision import transforms, io
-import csv
-import gradio as gr
-
-with open("birds.csv", "r") as r:
-  birds = list(csv.reader(r, delimiter=","))
-
-config = {"num_channels": 3, "hidden_units": 256, "num_classes": 525, "labels": birds}
-
-model = SurfinBird(config=config)
-model = SurfinBird.from_pretrained("ulichovick/birdnet")
-
-usr_img_transform = transforms.Compose([
-    transforms.Resize(size=(224, 224)),
-])
-
-target_image = io.read_image(str(image_path)).type(torch.float32)
-target_image = target_image / 255.
-target_image = usr_img_transform(target_image)
-
-model.eval()
-with torch.inference_mode():
-  target_image = target_image.unsqueeze(dim=0)
-  target_image_pred = model(target_image)
-target_image_pred_label = torch.argmax(target_image_pred, dim=1)
-
-#print(config["labels"][target_image_pred_label])
-
-gr.Interface(
-    transcribe,
-    inputs=gr.Image(label="gimme da bird"),
-    outputs=["textbox"],
-    title=titulo,
-    description=desc,
-).launch()