Update app.py

app.py

@@ -10,8 +10,23 @@ def ctc_lambda_func(args):
 # Load the model, providing the custom loss function in the custom_objects dictionary
 loaded_model = load_model('Text_recognizer_Using_CRNN_model.keras', custom_objects={'ctc': ctc_lambda_func},safe_mode=False)
 
+filepath="test_img.png"
+img = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
+img = process_image(img)
+prediction =loaded_model.predict(np.asarray([img]))
+decoded = K.ctc_decode(prediction,
+                       input_length=np.ones(prediction.shape[0]) * prediction.shape[1],
+                       greedy=True)[0][0]
+out = K.get_value(decoded)
+# see the results
+temp_str=""
+for i, x in enumerate(out):
+    for p in x:
+        if int(p) != -1:
+            temp_str+=char_list[int(p)]
+
 def greet(name):
-    return "Hello " + name + "!!"
+    return "Hello " + temp_str + "!!"
 
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()