Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import gradio as gr
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("facebook/m2m100_418M")
+model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_418M")
+
+def launch(input):
+    tokenizer.src_lang = "en"
+    encoded_hi = tokenizer(hi_text, return_tensors="pt")
+    generated_tokens = model.generate(**encoded_hi, forced_bos_token_id=tokenizer.get_lang_id("it"))
+    response = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+    return response
+
+
+iface = gr.Interface(launch, inputs="text", outputs="text")
+iface.launch()