Update app.py

app.py

@@ -84,25 +84,48 @@ def clone_trainer() -> None:
     try:
         if not (TRAINER_DIR / "sd_scripts").exists():
             logger.info("Cloning LoRA training scripts repository...")
+            
+            # 1. Najpierw klonujemy pełne repozytorium (bez --depth 1)
             clone_cmd = [
                 "git", "clone",
-                "--depth", "1",
                 "https://github.com/derrian-distro/LoRA_Easy_Training_scripts_Backend",
                 str(TRAINER_DIR)
             ]
-            result = subprocess.run(clone_cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-            logger.debug(f"Clone stdout: {result.stdout}")
             
-            reset_cmd = ["git", "reset", "--hard", COMMIT_HASH]
-            subprocess.run(reset_cmd, cwd=TRAINER_DIR, check=True)
+            result = subprocess.run(
+                clone_cmd,
+                check=True,
+                stdout=subprocess.PIPE,
+                stderr=subprocess.PIPE,
+                text=True
+            )
+            
+            # 2. Przechodzimy do konkretnej wersji
+            reset_cmd = ["git", "checkout", COMMIT_HASH]
+            subprocess.run(
+                reset_cmd,
+                cwd=TRAINER_DIR,
+                check=True,
+                stdout=subprocess.PIPE,
+                stderr=subprocess.PIPE,
+                text=True
+            )
+            
             logger.info("Successfully cloned and configured training scripts")
             
-            if (TRAINER_DIR / "requirements.txt").exists():
+            # 3. Instalacja wymaganych zależności
+            requirements_file = TRAINER_DIR / "requirements.txt"
+            if requirements_file.exists():
                 logger.info("Installing additional requirements...")
-                subprocess.run(["pip", "install", "-r", str(TRAINER_DIR / "requirements.txt")], check=True)
+                subprocess.run(
+                    ["pip", "install", "-r", str(requirements_file)],
+                    check=True
+                )
+                
     except subprocess.CalledProcessError as e:
-        logger.error(f"Failed to clone/setup training scripts: {e.stderr}")
-        raise RuntimeError(f"Repository setup failed: {e.stderr}")
+        error_msg = f"Failed to clone/setup training scripts: {e.stderr or str(e)}"
+        logger.error(error_msg)
+        raise RuntimeError(error_msg)
 
 def validate_hf_dataset(repo_id: str) -> bool:
     """Validate the HuggingFace dataset before downloading"""