Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+# Loading translation model
+translation_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_translation")
+translation_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_translation")
+
+
+def translate(text):
+    input_ids = translation_tokenizer.encode(text, return_tensors="pt")
+    output_ids = translation_model.generate(input_ids)
+    output_text = translation_tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    return output_text
+
+iface_translate = gr.Interface(
+    fn=translate,
+    inputs=gr.inputs.Textbox(lines=10, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Translation"),
+    title="ScienceBrief Translation",
+    description="Translate your text into French using the ScienceBrief translation model.",
+    theme="compact"
+)
+
+iface_translate.launch()