Create app.py

app.py

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+from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM
+import gradio as gr
+checkpoint = "Hemanth-thunder/english-tamil-mt"
+
+def language_translator(text):
+    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+    model = TFAutoModelForSeq2SeqLM.from_pretrained("finetune-EN-to-Ta/")
+    tokenized = tokenizer([text], return_tensors='np')
+    out = model.generate(**tokenized, max_length=128)
+    with tokenizer.as_target_tokenizer():
+        return tokenizer.decode(out[0],skip_special_tokens=True)
+        
+# examples = [
+#     ["Hello, how are you today?"],
+#     ["Translate this sentence into another language."],
+#     ["Can you help me with this text?"],
+# ]
+
+demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='Language Translator ENGLISH TO FRENCH',examples=examples)
+demo.launch(debug=True,share=True)