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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the translation pipeline
+translator = pipeline("translation_en_to_fr", model="AventIQ-AI/t5-text-translator")
+
+def translate(text):
+    result = translator(text)
+    return result[0]['translation_text']
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."),
+    outputs=gr.Textbox(label="Translated French Text"),
+    title="English to French Translator",
+    description="Translate English text into French using the T5 model fine-tuned by AventIQ.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+torch
+transformers
+sentencepiece
+gradio