Update app.py

app.py

@@ -1,7 +1,6 @@
 # Welcome to Team Tonic's MultiMed
 
 from gradio_client import Client
-import os
 import numpy as np
 import base64
 import gradio as gr
@@ -10,10 +9,10 @@ import requests
 import json
 import dotenv
 from scipy.io.wavfile import write
-import PIL
 import soundfile as sf
 from openai import OpenAI
 import time
+import PIL
 from PIL import Image
 import io
 import hashlib
@@ -28,6 +27,8 @@ from transformers import AutoConfig, AutoTokenizer, AutoModelForSeq2SeqLM, AutoM
 from peft import PeftModel, PeftConfig
 import torch
 import os
+import uuid
+
 
 # Global variables to hold component references
 components = {}
@@ -120,9 +121,10 @@ def process_speech(input_language, audio_input):
     except Exception as e :
         return f"{e}"
 
+
 def convert_text_to_speech(input_text, target_language):
     """
-    Convert text to speech in the specified language and return the audio file path and the input text.
+    Convert text to speech in the specified language, rename the audio file with a unique identifier, and return both the new audio file path and the input text.
     """
     try:
         text_to_speech_result = seamless_client.predict(
@@ -136,17 +138,16 @@ def convert_text_to_speech(input_text, target_language):
             api_name="/run"  # API name
         )
 
-        # Assuming the audio file path is in the second position of the result
-        audio_file = text_to_speech_result[1]
+        original_audio_file = text_to_speech_result[1]  # Assuming the audio file path is in the second position
+
+        # Generate a new file name with a random UUID
+        new_file_name = f"audio_output_{uuid.uuid4()}.wav"
+        new_file_path = os.path.join(os.path.dirname(original_audio_file), new_file_name)
 
-        max_length = 25 
-        dir_name, file_name = os.path.split(audio_file)
-        file_extension = os.path.splitext(file_name)[1]
-        shortened_file_name = file_name[:max_length - len(file_extension)] + file_extension
-        shortened_audio_file = os.path.join(dir_name, shortened_file_name)
+        # Rename the file
+        os.rename(original_audio_file, new_file_path)
 
-        # Return the shortened audio file path and the input text
-        return shortened_audio_file, input_text
+        return new_file_path, input_text
     except Exception as e:
         return f"An error occurred during text-to-speech conversion: {e}", input_text