Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from PIL import Image, ImageDraw
+import requests
+from io import BytesIO
+import numpy as np
+
+# Load the image from the URL
+input_image_url = "https://raw.githubusercontent.com/xoghd1126/G4-finalproject/main/%EC%8A%AC%EB%9D%BC%EC%9D%B4%EB%93%9C1.PNG"
+response = requests.get(input_image_url)
+image = Image.open(BytesIO(response.content))
+
+# Convert the image to a numpy array
+image_np = np.array(image)
+
+# URL of the output image
+output_image_url = "https://raw.githubusercontent.com/xoghd1126/G4-finalproject/main/%EC%8A%AC%EB%9D%BC%EC%9D%B4%EB%93%9C2.png"
+
+# Function to process the drawing (dummy processing)
+def process_drawing(drawing):
+    # Fetch the output image
+    response = requests.get(output_image_url)
+    output_image = Image.open(BytesIO(response.content))
+    
+    return output_image
+
+# Create Gradio interface
+def create_interface():
+    sketchpad = gr.Sketchpad(label="Draw lines to match items", type="numpy", value=image_np)
+    
+    interface = gr.Interface(
+        fn=process_drawing,
+        inputs=[sketchpad],
+        outputs="image",  # Correctly specify the output type as "image"
+        title="Match the words with the appropriate verb tense"
+    )
+    return interface
+
+# Create and launch the interface
+interface = create_interface()
+interface.launch()