Delete clip_chat.py

clip_chat.py

@@ -1,71 +0,0 @@
-import torch
-import clip
-from PIL import Image
-import glob
-import os
-from random import choice
-
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-model, preprocess = clip.load("ViT-L/14@336px", device=device)
-with open('coco_paths.txt', 'r') as file:
-    COCO = file.read().split('\n')[:-1]
-COCO = [c.replace("/media/bonilla/My Book/coco/train2017/", "D:\\coco\\train2017\\") for c in COCO]
-
-
-def load_random_image():
-    image_path = choice(COCO)
-    image = Image.open(image_path)
-    return image
-
-
-def next_image():
-    global image_org, image
-    image_org = load_random_image()
-    image = preprocess(Image.fromarray(image_org)).unsqueeze(0).to(device)
-
-
-last = -1
-best = -1
-
-goal = 21
-
-image_org = load_random_image()
-image = preprocess(image_org).unsqueeze(0).to(device)
-
-
-def answer(message):
-    global last, best
-
-    text = clip.tokenize([message]).to(device)
-
-    with torch.no_grad():
-        logits_per_image, _ = model(image, text)
-        logits = logits_per_image.cpu().numpy().flatten()[0]
-
-    if last == -1:
-        is_better = -1
-    elif last > logits:
-        is_better = 0
-    elif last < logits:
-        is_better = 1
-    elif logits > goal:
-        is_better = 2
-    else:
-        is_better = -1
-
-    last = logits
-    if logits > best:
-        best = logits
-        is_better = 3
-
-    return logits, is_better  # logit2sentence(logits) + " " + is_better + " " + f"({logits})"
-
-
-def reset_everything():
-    global last, best, goal, image, image_org
-    last = -1
-    best = -1
-    goal = 21
-    image_org = load_random_image()
-    image = preprocess(image_org).unsqueeze(0).to(device)