add pre-setup

app.py

@@ -6,13 +6,45 @@ Handles file upload, processing pipeline, and UI rendering
 import streamlit as st
 import os
 import time
-# from dotenv import load_dotenv
+import subprocess
 from utils.stt import transcribe_audio
 from utils.translation import translate_text
 from utils.tts import generate_speech
 
+# Hugging Face Spaces Setup Automation
+def setup_huggingface_space():
+    """Automatically configure Hugging Face Space requirements"""
+    st.sidebar.header("Space Configuration")
+    
+    # Check for required system packages
+    try:
+        subprocess.run(["espeak-ng", "--version"], check=True, capture_output=True)
+    except (FileNotFoundError, subprocess.CalledProcessError):
+        st.sidebar.error("""
+        **Missing System Dependencies!** Add this to your Space settings:
+        ```txt
+        apt-get update && apt-get install -y espeak-ng
+        ```
+        """)
+        st.stop()
+
+    # Verify model files
+    model_dir = "./kokoro"
+    required_files = [
+        f"{model_dir}/kokoro-v0_19.pth",
+        f"{model_dir}/voices/af_bella.pt"
+    ]
+    
+    if not all(os.path.exists(f) for f in required_files):
+        st.sidebar.warning("""
+        **Missing Model Files!** Add this to your Space settings:
+        ```txt
+        git clone https://huggingface.co/hexgrad/Kokoro-82M ./kokoro
+        ```
+        """)
+        st.stop()
+
 # Initialize environment configurations
-# load_dotenv()
 os.makedirs("temp/uploads", exist_ok=True)
 os.makedirs("temp/outputs", exist_ok=True)
 
@@ -29,6 +61,7 @@ def configure_page():
             .reportview-container {margin-top: -2em;}
             #MainMenu {visibility: hidden;}
             .stDeployButton {display:none;}
+            .stAlert {padding: 20px !important;}
         </style>
     """, unsafe_allow_html=True)
 
@@ -55,7 +88,7 @@ def handle_file_processing(upload_path):
         
         # TTS Phase
         status_text.markdown("🎵 **Generating Chinese Speech...**")
-        output_path = generate_speech(chinese_text,language="zh")
+        output_path = generate_speech(chinese_text, language="zh")
         progress_bar.progress(100)
         
         # Display results
@@ -92,6 +125,7 @@ def render_results(english_text, chinese_text, output_path):
 
 def main():
     """Main application workflow"""
+    setup_huggingface_space()  # First-run configuration checks
     configure_page()
     st.title("🎧 High-Quality Audio Translation System")
     st.markdown("Upload English Audio → Get Chinese Speech Output")