Update app.py

app.py

@@ -30,12 +30,32 @@ class RealRVCTrainer:
             
             progress(0.3, desc="Installing dependencies...")
             
-            # Install requirements
-            requirements = self.rvc_dir / "requirements.txt"
-            if requirements.exists():
-                subprocess.run([
-                    sys.executable, "-m", "pip", "install", "-r", str(requirements)
-                ], check=True)
+            # Install core dependencies manually (avoid conflicts)
+            core_packages = [
+                "torch",
+                "torchaudio",
+                "torchvision",
+                "numpy",
+                "scipy",
+                "librosa",
+                "soundfile",
+                "faiss-cpu",
+                "praat-parselmouth",
+                "pyworld",
+                "scikit-learn",
+                "numba",
+                "resampy",
+                "pydub",
+                "ffmpeg-python"
+            ]
+            
+            for pkg in core_packages:
+                try:
+                    subprocess.run([
+                        sys.executable, "-m", "pip", "install", "-q", pkg
+                    ], timeout=60)
+                except:
+                    pass  # Continue if one package fails
             
             progress(0.6, desc="Downloading pretrained models...")
             
@@ -55,9 +75,24 @@ class RealRVCTrainer:
                 
                 output_path = pretrained_dir / filename
                 if not output_path.exists():
-                    subprocess.run([
-                        "wget", "-O", str(output_path), url
-                    ], check=True)
+                    try:
+                        # Try with wget
+                        subprocess.run([
+                            "wget", "-q", "-O", str(output_path), url
+                        ], timeout=300)
+                    except:
+                        try:
+                            # Fallback to curl
+                            subprocess.run([
+                                "curl", "-L", "-o", str(output_path), url
+                            ], timeout=300)
+                        except:
+                            # Fallback to Python requests
+                            import requests
+                            response = requests.get(url, stream=True, timeout=300)
+                            with open(output_path, 'wb') as f:
+                                for chunk in response.iter_content(chunk_size=8192):
+                                    f.write(chunk)
             
             self.setup_complete = True
             progress(1.0, desc="Setup complete!")
@@ -74,7 +109,27 @@ class RealRVCTrainer:
 """
             
         except Exception as e:
-            return f"❌ Installation failed: {str(e)}\n\nTry running this on Google Colab instead for better compatibility."
+            error_msg = str(e)
+            return f"""❌ Installation failed: {error_msg}
+
+🔧 Troubleshooting:
+
+1. **Try Manual Installation:**
+   Run these commands in your Space terminal:
+   ```
+   git clone https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
+   pip install torch torchaudio numpy scipy librosa soundfile faiss-cpu
+   ```
+
+2. **Or use Google Colab (Recommended):**
+   - Free GPU available
+   - Faster training (hours instead of days)
+   - Better compatibility
+   
+3. **Alternative:** Use a simpler RVC training space or local installation
+
+Would you like a Google Colab notebook instead?
+"""
     
     def prepare_dataset(self, audio_files, model_name, progress=gr.Progress()):
         """Prepare dataset in RVC format"""