Update app.py

app.py

@@ -22,9 +22,10 @@ model_checkpoint = "marefa-nlp/marefa-mt-en-ar"
 tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 #model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint,from_pt=True)
 with zipfile.ZipFile("tf_model.zip", 'r') as zip_ref:
-    zip_ref.extractall("/tfmodel")
+    zip_ref.extractall("./marian_model/")
+
+model = TFAutoModelForSeq2SeqLM.from_pretrained("./marian_model/")
 
-model = TFAutoModelForSeq2SeqLM.from_pretrained("tf_model/")
 
 
 # Load cleaned_word_embeddings