Create app.py

app.py

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+#tradutor nq usando pipelines
+#Autor..: joinfv
+#Data...:20/11/2024
+import gradio as gr
+
+from transformers import pipeline
+
+#load model
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-pt")
+
+def predict(text):
+  return pipe(text)[0]["translation_text"]
+  
+title = "Tradutor inglês para Brasileires"
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs=[gr.Textbox(label="text", lines=3)],
+  outputs='text',
+  title=title,
+)
+
+iface.launch()