hotfix for AutoGGUF

README.md

@@ -1,29 +1,24 @@
-# AutoGGUF - automated GGUF model quantizer
+AutoGGUF - Automated GGUF Model Quantizer
 
 This application provides a graphical user interface for quantizing GGUF models
 using the llama.cpp library. It allows users to download different versions of
 llama.cpp, manage multiple backends, and perform quantization tasks with various
 options.
 
-**Main features**:
+Main features:
 1. Download and manage llama.cpp backends
 2. Select and quantize GGUF models
 3. Configure quantization parameters
 4. Monitor system resources during quantization
 
-**Usage**:
+Usage:
-1. Install dependencies, either using the `requirements.txt` file or `pip install PyQt6 requests psutil`.
+Run the main.py script to start the application.
-2. Run the `run.bat` script to start the application, or run the command `python src/main.py`.
 
-**Dependencies**:
+Dependencies:
 - PyQt6
 - requests
 - psutil
 
-**To be implemented:**
+Author: leafspark
-- Actual progress bar tracking
+Version: 1.0.0
-- Download safetensors from HF and convert to unquanted GGUF
+License: apache-2.0
-- Specify multiple KV overrides
-
-**User interface:**
-![image](https://github.com/user-attachments/assets/b1b58cba-4314-479d-a1d8-21ca0b5a8935)

src/AutoGGUF.py

@@ -13,6 +13,10 @@
 import zipfile
 from datetime import datetime
 from imports_and_globals import ensure_directory
+from DownloadThread import *
+from ModelInfoDialog import *
+from TaskListItem import *
+from QuantizationThread import *
 
 class AutoGGUF(QMainWindow):
     def __init__(self):
@@ -387,12 +391,7 @@ def load_models(self):
             if file.endswith(".gguf"):
                 self.model_list.addItem(file)
     
-    def browse_backend(self):
+        
-        backend_path = QFileDialog.getExistingDirectory(self, "Select Llama.cpp Backend Directory")
-        if backend_path:
-            self.backend_input.setText(os.path.abspath(backend_path))
-            ensure_directory(backend_path)
-    
     def browse_models(self):
         models_path = QFileDialog.getExistingDirectory(self, "Select Models Directory")
         if models_path:
@@ -431,8 +430,8 @@ def toggle_token_embedding_type(self, state):
         self.token_embedding_type.setEnabled(state == Qt.CheckState.Checked)
 
     def validate_quantization_inputs(self):
-        if not self.backend_input.text():
+        if not self.backend_combo.currentData():
-            raise ValueError("Backend path is required")
+            raise ValueError("No backend selected")
         if not self.models_input.text():
             raise ValueError("Models path is required")
         if not self.output_input.text():
@@ -571,7 +570,7 @@ def toggle_gpu_offload_auto(self, state):
 
     def generate_imatrix(self):
         try:
-            backend_path = self.backend_input.text()
+            backend_path = self.backend_combo.currentData()
             if not os.path.exists(backend_path):
                 raise FileNotFoundError(f"Backend path does not exist: {backend_path}")
 

src/modify.py

@@ -0,0 +1,35 @@
+import re
+
+def modify_file(filename):
+    with open(filename, 'r') as file:
+        content = file.read()
+
+    # Replace validate_quantization_inputs method
+    content = re.sub(
+        r'def validate_quantization_inputs\(self\):.*?if not self\.backend_input\.text\(\):.*?raise ValueError\("Backend path is required"\)',
+        'def validate_quantization_inputs(self):\n        if not self.backend_combo.currentData():\n            raise ValueError("No backend selected")',
+        content, flags=re.DOTALL
+    )
+
+    # Replace in generate_imatrix method
+    content = re.sub(
+        r'backend_path = self\.backend_input\.text\(\)',
+        'backend_path = self.backend_combo.currentData()',
+        content
+    )
+
+    # Remove browse_backend method
+    content = re.sub(
+        r'def browse_backend\(self\):.*?ensure_directory\(backend_path\)\n',
+        '',
+        content, flags=re.DOTALL
+    )
+
+    # Write the modified content back to the file
+    with open(filename, 'w') as file:
+        file.write(content)
+
+    print(f"File {filename} has been modified.")
+
+# Use the function
+modify_file('AutoGGUF.py')