Modified app

app.py

@@ -1,7 +1,41 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: enro-app.ipynb.
+
+# %% auto 0
+__all__ = ['model_name', 'tokenizer', 'model', 'text', 'translationsout_1', 'translationsout_2', 'translationsout_3',
+           'translationsout_4', 'examples', 'intf', 'get_translations']
+
+# %% enro-app.ipynb 1
+from transformers import MarianMTModel, MarianTokenizer
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% enro-app.ipynb 2
+model_name = "Helsinki-NLP/opus-mt-tc-big-en-ro"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+# %% enro-app.ipynb 3
+def get_translations(input_text):
+    tokenized_text = tokenizer(input_text, return_tensors="pt")
+
+# Generate multiple translations
+# Set num_return_sequences to the number of translations you want
+    translated = model.generate(**tokenized_text, num_return_sequences=4)
+    translations = []
+    for t in translated:
+        translations.append(tokenizer.decode(t, skip_special_tokens=True))
+
+    return translations[0], translations[1], translations[2], translations[3]
+
+# %% enro-app.ipynb 5
+text = gr.components.Text()
+translationsout_1 = gr.components.Text(label="Translation 1.")
+translationsout_2 = gr.components.Text(label="Translation 2")
+translationsout_3 = gr.components.Text(label="Translation 3")
+translationsout_4 = gr.components.Text(label="Translation 4")
+examples = ['The small mouse jumped.',"He's a bad writer.",'What is the way to the park?']
+intf = gr.Interface(fn=get_translations, inputs=text,outputs=[translationsout_1, translationsout_2, translationsout_3, translationsout_4],examples=examples)
+
+
+
+intf.launch()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()