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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)

run.bat

@@ -1,2 +1,3 @@
 @echo off
+set PYTHONIOENCODING=utf-8
 python src/main.py

src/AutoGGUF.py

@@ -531,7 +531,7 @@ def show_task_details(self, item):
             
             # Load existing content
             if os.path.exists(task_item.log_file):
-                with open(task_item.log_file, 'r') as f:
+                with open_file_safe(task_item.log_file, 'r') as f:
                     log_text.setPlainText(f.read())
             
             # Connect to the thread if it's still running

src/QuantizationThread.py

@@ -11,7 +11,9 @@
 import platform
 import requests
 import zipfile
+import traceback
 from datetime import datetime
+from imports_and_globals import open_file_safe
 
 class QuantizationThread(QThread):
     output_signal = pyqtSignal(str)
@@ -32,7 +34,7 @@ def run(self):
         try:
             self.process = subprocess.Popen(self.command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, 
                                        text=True, cwd=self.cwd)
-            with open(self.log_file, 'w') as log:
+            with open_file_safe(self.log_file, 'w') as log:
                 for line in self.process.stdout:
                     line = line.strip()
                     self.output_signal.emit(line)
@@ -40,7 +42,6 @@ def run(self):
                     log.flush()
                     self.status_signal.emit("In Progress")
                     self.parse_model_info(line)
-            
             self.process.wait()
             if self.process.returncode == 0:
                 self.status_signal.emit("Completed")

src/imports_and_globals.py

@@ -19,3 +19,12 @@
 def ensure_directory(path):
     if not os.path.exists(path):
         os.makedirs(path)
+        
+def open_file_safe(file_path, mode='r'):
+    encodings = ['utf-8', 'latin-1', 'ascii', 'utf-16']
+    for encoding in encodings:
+        try:
+            return open(file_path, mode, encoding=encoding)
+        except UnicodeDecodeError:
+            continue
+    raise ValueError(f"Unable to open file {file_path} with any of the encodings: {encodings}")