Update app.py

app.py

@@ -18,7 +18,7 @@ model = AutoModelForPreTraining.from_pretrained("google/paligemma-3b-mix-224")
 # Function to transcribe handwritten notes using Hugging Face model
 def transcribe_handwriting(image):
     # Convert image to array and preprocess
-    image = image.convert("RGB")
+    image = Image.convert("RGB")
     image = np.array(image)
 
     # Prepare input for the model
@@ -45,6 +45,9 @@ st.title("Doctor's Prescription Reader 💊")
 uploaded_file = st.file_uploader("Upload Prescription Image", type=["jpg", "jpeg", "png"])
 
 if uploaded_file is not None:
+ # Open the image using PIL
+    image = Image.open(uploaded_file)
+
     # Display uploaded image
     st.image(uploaded_file, caption="Uploaded Prescription", use_column_width=True)