changed model

app.py

@@ -12,14 +12,14 @@ mobilenet_model = MobileNetV2(weights="imagenet")
 mobilenet_model = Model(inputs=mobilenet_model.inputs, outputs=mobilenet_model.layers[-2].output)
 
 # Load the trained captioning model
-model = tf.keras.models.load_model("model.h5")
+model = tf.keras.models.load_model("model_9.h5")
 
 # Load the tokenizer
 with open("tokenizer.pkl", "rb") as tokenizer_file:
     tokenizer = pickle.load(tokenizer_file)
 
 # Set maximum caption length and start/end tokens
-max_caption_length = 34  # Adjust based on your model's training
+max_caption_length = 33  # Adjust based on your model's training
 start_token = "startseq"
 end_token = "endseq"
 

model.h5 → model_9.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb1a443930ca12dd53d86d79d2102a1d34bcf225ae7c2bceb3ba4cf4db6dc15c
-size 85587336
+oid sha256:9f851e1217ac2ccfe1166ff5848da48905b98c1883076d63a6b5d00871d4c49e
+size 16970992