Update app.py

app.py

@@ -16,30 +16,4 @@ def launch(input):
     return processor.decode(out[0], skip_special_tokens=True)
 
 iface = gr.Interface(launch, inputs="text", outputs="text")
-iface.launch()
-
-# from PIL import Image
-# import requests
-# from transformers import Blip2Processor, Blip2ForConditionalGeneration
-# import torch
-
-# device = "cuda" if torch.cuda.is_available() else "cpu"
-
-# processor = Blip2Processor.from_pretrained("Salesforce/blip2-opt-2.7b")
-# model = Blip2ForConditionalGeneration.from_pretrained(
-#     "Salesforce/blip2-opt-2.7b", torch_dtype=torch.float16
-# )
-# model.to(device)
-
-# def launch(input):
-
-#     image = Image.open(requests.get(input, stream=True).raw)
-
-#     inputs = processor(images=image, return_tensors="pt").to(device, torch.float16)
-
-#     generated_ids = model.generate(**inputs)
-#     generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
-#     return generated_text
-
-# iface = gr.Interface(launch, inputs="text", outputs="text")
-# iface.launch()
+iface.launch()