# pip install gradio torch transformers import gradio as gr from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("t5-small") def translate_text(text): inputs = tokenizer.encode("translate English to French: " + text, return_tensors="pt") outputs = model.generate(inputs, max_length=128, num_beams=4, early_stopping=True) translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) return translated_text output_1 = gr.Textbox(label="Speech to Text") output_2 = gr.Textbox(label="Speech Translation") generator = gr.Interface.load("huggingface/facebook/wav2vec2-base-960h", inputs="microphone", outputs=output_1, title="Speech-to-text", ) translator = gr.Interface(fn=translate_text, inputs=output_1, outputs=output_2, title="English to French Translator", description="Translate English speech to French text using the T5-small model.", ) gr.Series(generator, translator).launch()