env test

app.py

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+import gradio as gr
+from transformers import SeamlessM4TForTextToText
+from transformers import AutoProcessor, SeamlessM4TModel
+model = SeamlessM4TForTextToText.from_pretrained("facebook/hf-seamless-m4t-medium")
+processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-medium")
+
+text_inputs = processor(text = "Hello, my dog is cute", src_lang="eng", return_tensors="pt")
+output_tokens = model.generate(**text_inputs, tgt_lang="pan")
+translated_text_from_text = processor.decode(output_tokens[0].tolist(), skip_special_tokens=True)
+print(translated_text_from_text)
+
+def greet(name):
+    return translated_text_from_text
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

requirements.txt

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+gradio
+transformers
+fairseq2==0.1 
+pydub 
+yt-dlp
+sentencepiece