Update app.py

app.py

@@ -16,24 +16,6 @@ model = Qwen2VLForConditionalGeneration.from_pretrained(
 )
 processor = AutoProcessor.from_pretrained("./Qwen2-VL-7B-Instruct")
 
-def array_to_image_path(image_array):
-    if image_array is None:
-        raise ValueError("No image provided. Please upload an image before submitting.")
-    # Convert numpy array to PIL Image
-    img = Image.fromarray(np.uint8(image_array))
-    
-    # Generate a unique filename using timestamp
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    filename = f"image_{timestamp}.png"
-    
-    # Save the image
-    img.save(filename)
-    
-    # Get the full path of the saved image
-    full_path = os.path.abspath(filename)
-    
-    return full_path
-
 def generate_embeddings(text):
     model = SentenceTransformer('./all-MiniLM-L6-v2')
     embeddings = model.encode(sentences)