added download

app.py

@@ -16,16 +16,16 @@ processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-medium")
 # print(translated_text_from_text)
 
 
-def run_t2tt(file_uploader , input_text: str, source_language: str, target_language: str) -> str:
+def run_t2tt(file_uploader , input_text: str, source_language: str, target_language: str) -> (str, bytes):
     if file_uploader is not None:
-        input_text = file_uploader.read().decode("utf-8")
+        input_text = ffile_uploader['content'].decode("utf-8")
     source_language_code = LANGUAGE_NAME_TO_CODE[source_language]
     target_language_code = LANGUAGE_NAME_TO_CODE[target_language]
     text_inputs = processor(text = input_text, src_lang=source_language_code , return_tensors="pt")
     output_tokens = model.generate(**text_inputs, tgt_lang=target_language_code)
     output = processor.decode(output_tokens[0].tolist(), skip_special_tokens=True)
-    return str(output)
-
+    translated_text_bytes = translated_text.encode("utf-8")
+    return str(output), translated_text_bytes
 
 with gr.Blocks() as demo_t2tt:
     with gr.Row():
@@ -47,6 +47,7 @@ with gr.Blocks() as demo_t2tt:
             btn = gr.Button("Translate")
         with gr.Column():
             output_text = gr.Textbox(label="Translated text")
+            output_file = gr.File(label="Translated text file")
 
     gr.Examples(
         examples=[
@@ -76,7 +77,7 @@ with gr.Blocks() as demo_t2tt:
             ],
         ],
         inputs=[file_uploader ,input_text, source_language, target_language],
-        outputs=output_text,
+        outputs=[output_text, output_file],
         fn=run_t2tt,
         cache_examples=False,
         api_name=False,
@@ -86,7 +87,7 @@ with gr.Blocks() as demo_t2tt:
         triggers=[input_text.submit, btn.click],
         fn=run_t2tt,
         inputs=[file_uploader, input_text, source_language, target_language],
-        outputs=output_text,
+        outputs=[output_text, output_file],
         api_name="t2tt",
     )