Update app.py

app.py

@@ -5,6 +5,15 @@ import os
 import time
 import soundfile as sf
 
+welcome_message = """
+# 👋🏻Welcome to 🔥Tonic's🗣️Unity On Device!🚀
+
+🔥Tonic's🗣️Unity On Device!🚀 uses [facebook/seamless-m4t-unity-small](https://huggingface.co/facebook/seamless-m4t-unity-small) for audio translation & accessibility.
+🔥Tonic's🗣️Unity On Device!🚀 on your own data & in your own way by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/TeamTonic/SeamlessOnDevice?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3>
+### Join us : 
+🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community on 👻Discord: [Discord](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)"             
+"""
+
 # Define the list of target languages
 languages = {
     "English": "eng",
@@ -14,15 +23,33 @@ languages = {
     "Spanish": "spa"
 }
 
+def save_audio(audio_input, output_dir="saved_audio"):
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+    # Extract sample rate and audio data
+    sample_rate, audio_data = audio_input
+
+    # Generate a unique file name
+    file_name = f"audio_{int(time.time())}.wav"
+    file_path = os.path.join(output_dir, file_name)
+
+    # Save the audio file
+    sf.write(file_path, audio_data, sample_rate)
+
+    return file_path
+
 def speech_to_text(audio_data, tgt_lang):
-    audio_input, _ = torchaudio.load(audio_data)
+    file_path = save_audio(audio_data)
+    audio_input, _ = torchaudio.load(file_path)
     s2t_model = torch.jit.load("unity_on_device_s2t.ptl")
     with torch.no_grad():
         text = s2t_model(audio_input, tgt_lang=languages[tgt_lang])
     return text
 
 def speech_to_speech_translation(audio_data, tgt_lang):
-    audio_input, _ = torchaudio.load(audio_data)
+    file_path = save_audio(audio_data)
+    audio_input, _ = torchaudio.load(file_path)
     s2st_model = torch.jit.load("unity_on_device.ptl")
     with torch.no_grad():
         text, units, waveform = s2st_model(audio_input, tgt_lang=languages[tgt_lang])
@@ -31,6 +58,7 @@ def speech_to_speech_translation(audio_data, tgt_lang):
     return text, output_file
 
 def create_interface():
+    with gr.Markdown(welcome_message)
     with gr.Blocks(theme='ParityError/Anime') as interface:
         # Dropdown for language selection
         input_language = gr.Dropdown(list(languages.keys()), label="Select Target Language", value="English")