Update app.py

app.py

@@ -141,7 +141,7 @@ comment_images = [
 ]
 
 comments = {'test.png': "Not sure about the concept, it's too straightforward. Though the boy looks kinda creepy which makes it exciting. the art style is pretty to look at. I like that the colors are muted, but wish they were a bit darker to make it more eerie and add depth.", 'comment_images/0.png': "Hate this with a passion. The colors are too vibrant and don't match at all. I hate these colors in general. The patterns are too abstract and contemporary. a 5-year-old could draw this. pass.", 'comment_images/1.png': "Woah I love the art style. The texture feels like old paper which is oh so beautiful. There are so many details to focus on. I love the expressive lines and how busy the composition is. Even though orange isn't my favorite, the greenish blue color of the water is so gorgeous.", 'comment_images/2.png': "I don't like how monochromatic and muted this one is. but the paperish texture is nice and the details are so intricate.", 'comment_images/3.png': "Oh super pretty! Looks so smooth and wet. Love the details and loose lines too. Feels mystical and magical and eerie. Also dark purples and blues? deep indigo? My fav ever. I'm here for it.", 'comment_images/4.png': "Love the art style. The uncanny vibe and nightmarish horror is so cool. Like its horror but if you squint you can't tell? Love the strange. wish it had more colors though. not a fan of greyscale.", 'comment_images/5.png': 'omg I hate this haha. what the hell. everything about it disgusts me so boring and childish ew.', 'comment_images/6.png': 'yessss. give it to the texture give it to the brushstrokes give it to the style. perfect. just wish the colors were less beige and more bold. I want an active nightmare. but kisses to the surrealism.'}
-comments = dict()
+#comments = dict()
 
 image_index = 0
 
@@ -210,13 +210,6 @@ def clear_comments():
 @spaces.GPU(duration=200)
 def extract_vp():
     if valid_api == "":
-        vpe_model = AutoModelForVision2Seq.from_pretrained(
-            "HuggingFaceM4/idefics2-8b",
-            torch_dtype=torch.float16,    
-            quantization_config=bnb_config,
-        )
-
-        vpe_model = PeftModel.from_pretrained(vpe_model, "VPE2").to("cuda")
     
         global comments
         
@@ -261,7 +254,6 @@ Here are the images and their corresponding comments:
         inputs = {k: v.to(device) for k, v in inputs.items()}
         
         generated_ids = vpe_model.generate(**inputs, max_new_tokens=2000, repetition_penalty=0.99, do_sample=False)
-        del vpe_model
         generated_texts = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
         positive_vp, negative_vp = re.search('.* \nAssistant: Liked Art Features: (.*)\nDisliked Art Features: (.*)', generated_texts).groups()