Add application file

app.py

@@ -1,7 +1,31 @@
+# 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",
+                          )
 
-def greet(name):
-    return "Hello " + name + "!!"
+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.",
+                          )
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+gr.Series(generator, translator).launch()