Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+# Load the saved model
+model_path = "/main/files/pythorch_model.bin"
+model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
+
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained("your-tokenizer-name")
+
+# Define the translation function
+def translate(text):
+    input_ids = tokenizer.encode(text, return_tensors="pt")
+    outputs = model.generate(input_ids)
+    decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return decoded_output
+
+# Build the interface
+translator = gr.Interface(fn=translate, inputs="text", outputs="text", title="Translation App", description="Translate your text!")
+translator.launch()