Update to Gradio 4.44.1 with complete training implementation

app.py

@@ -1,14 +1,14 @@
 #!/usr/bin/env python3
 """
-OpenLLM Training Space Application - Fixed Implementation
+OpenLLM Training Space Application - Gradio 4.44.1 Compatible
 
 This is a complete Gradio application that provides actual model training functionality
 for OpenLLM models. It loads the 7k model, trains it for additional steps, and pushes
-the results to Hugging Face Hub. Fixed for Gradio 4.44.0 compatibility.
+the results to Hugging Face Hub. Updated for Gradio 4.44.1 compatibility.
 
 Author: Louis Chua Bean Chong
 License: GPL-3.0
-Version: 2.0.1
+Version: 2.0.2
 Last Updated: 2024
 """
 
@@ -293,13 +293,13 @@ def main():
     
     # Create the main Gradio application interface
     with gr.Blocks(
-        title="OpenLLM Training Space - Complete",
+        title="OpenLLM Training Space - Gradio 4.44.1",
         theme=gr.themes.Soft()
     ) as demo:
         
         # Application Header
         gr.Markdown("# 🚀 OpenLLM Training Space - Complete Implementation")
-        gr.Markdown("### *Real Model Training Interface*")
+        gr.Markdown("### *Real Model Training Interface - Gradio 4.44.1*")
         gr.Markdown("---")
         
         # Main Content Area
@@ -355,10 +355,11 @@ def main():
                     lines=5
                 )
                 
-                # Progress Information - Fixed for Gradio 4.44.0 compatibility
+                # Progress Information - Updated for Gradio 4.44.1 compatibility
                 progress_info = gr.JSON(
                     value=trainer.get_training_progress(),
-                    label="Training Progress"
+                    label="Training Progress",
+                    interactive=False  # Now supported in Gradio 4.44.1
                 )
                 
                 # Training Control Buttons
@@ -369,7 +370,7 @@ def main():
         # Instructions Section
         gr.Markdown("## 📋 Complete Training Instructions")
         gr.Markdown("""
-        This interface provides **real model training** functionality:
+        This interface provides **real model training** functionality with Gradio 4.44.1:
         
         ### **Step 1: Configure Parameters**
         - **Model Size**: Select the base model to train from (7k models)
@@ -468,6 +469,7 @@ def main():
         gr.Markdown("---")
         gr.Markdown("**Author**: Louis Chua Bean Chong | **Project**: OpenLLM | **License**: GPL-3.0")
         gr.Markdown(f"**Training Available**: {'✅ Yes' if TRAINING_AVAILABLE else '❌ No'}")
+        gr.Markdown("**Gradio Version**: 4.44.1")
     
     return demo