Feat: append json result rendering and new examples

app.py

@@ -1,5 +1,4 @@
 """
-
 Original Algorithm:
 - https://github.com/GreenCUBIC/AudiogramDigitization
 
@@ -28,7 +27,6 @@ from digitizer.digitization import generate_partial_annotation, extract_threshol
 
 EXAMPLES_PATH = Path('./examples')
 
-
 max_length = 5
 img_width = 200
 img_height = 50
@@ -78,22 +76,18 @@ def plot_audiogram(digital_result):
                     plt.plot(selection.frequency, selection.threshold, color="red" if ear == "right" else "blue", linewidth=0.5)
 
     return plt.gcf()
-    # Save audiogram plot to nparray
-    # get image as np.array
-    # canvas = plt.gca().figure.canvas
-    # canvas.draw()
-    # image = np.frombuffer(canvas.tostring_rgb(), dtype=np.uint8)
-    # return Image.fromarray(image)
-
 
 # Function for Audiogram Digit Recognition
 def audiogram_digit_recognition(img_path):
     digital_result = extract_thresholds(img_path, gpu=False)
-    return plot_audiogram(digital_result)
+    return [plot_audiogram(digital_result), digital_result]
 
 
-output = gr.Plot()
-examples = [f'{EXAMPLES_PATH}/audiogram_example01.png']
+output = [gr.Plot(), gr.JSON()]
+examples = [
+            f'{EXAMPLES_PATH}/audiogram_example01.png',
+            f'{EXAMPLES_PATH}/audiogram_example02.png'
+            ]
 
 iface = gr.Interface(
     fn=audiogram_digit_recognition,