Update app.py

app.py

@@ -5,13 +5,15 @@ import requests
 from transformers import AutoProcessor, AutoModelForCausalLM
 
 # Model ve işlemciyi yükle
-model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-base", torch_dtype=torch.float16, trust_remote_code=True)
-processor = AutoProcessor.from_pretrained("microsoft/Florence-2-base", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-base-mini", torch_dtype=torch.float32, trust_remote_code=True)
 
 def process_image(image, task):
     # Girdiyi hazırla
     inputs = processor(text=task, images=image, return_tensors="pt")
-
+    
+    # Giriş verilerini half precision'a dönüştür
+    inputs = {k: v.half() if isinstance(v, torch.Tensor) else v for k, v in inputs.items()}
+    
     # Çıktıyı oluştur
     generated_ids = model.generate(
         input_ids=inputs["input_ids"],
@@ -20,11 +22,11 @@ def process_image(image, task):
         num_beams=3,
         do_sample=False
     )
-
+    
     # Sonucu işle
     generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0]
     parsed_answer = processor.post_process_generation(generated_text, task=task, image_size=(image.width, image.height))
-
+    
     return parsed_answer
 
 # Gradio arayüzü