� CRITICAL FIX: Add missing value parameters to fix Gradio schema error

❌ Fixed: TypeError: argument of type 'bool' is not iterable
✅ Added proper initial values to all Gradio components:
- gr.JSON components now have value={}
- gr.Slider has value=0
- gr.Image has value=None
- gr.Markdown has value=
- gr.Textbox has value=
- gr.File has value=None
✅ Updated Gradio to >=4.44.1 for latest bug fixes

This resolves the JSON schema validation error during API info generation.

app.py

@@ -359,12 +359,14 @@ def create_agent2robot_interface():
                     interactive=False,
                     show_copy_button=True,
                     elem_classes=["process-log"],
-                    placeholder="Process log will appear here in real-time as the AI agent works..."
+                    placeholder="Process log will appear here in real-time as the AI agent works...",
+                    value=""
                 )
                 
                 with gr.Row():
                     current_design_specs_output = gr.JSON(
-                        label="⚙️ Current Design Specs Being Tested"
+                        label="⚙️ Current Design Specs Being Tested",
+                        value={}
                     )
                     
                     progress_bar_output = gr.Slider(
@@ -373,7 +375,8 @@ def create_agent2robot_interface():
                         step=1,
                         label="Progress (%)",
                         interactive=False,
-                        show_label=True
+                        show_label=True,
+                        value=0
                     )
         
         # Results Section
@@ -388,31 +391,36 @@ def create_agent2robot_interface():
                     simulation_video_output = gr.Image(
                         label="🎬 Simulation of Best Design's Trial",
                         interactive=False,
-                        height=300
+                        height=300,
+                        value=None
                     )
                     
                     performance_summary_output = gr.Markdown(
-                        label="📊 Performance Summary of Best Design"
+                        label="📊 Performance Summary of Best Design",
+                        value=""
                     )
                 
                 with gr.Column(scale=1):
                     best_design_specs_output = gr.JSON(
                         label="🔩 Best Vehicle Design Specifications",
-                        show_label=True
+                        show_label=True,
+                        value={}
                     )
                     
                     download_json_output = gr.File(
                         label="📄 Download Best Design Specs (JSON)",
                         file_count="single",
                         type="filepath",
-                        interactive=True
+                        interactive=True,
+                        value=None
                     )
                     
                     llm_rationale_output = gr.Textbox(
                         label="💡 LLM's Design Rationale",
                         lines=6,
                         interactive=False,
-                        show_copy_button=True
+                        show_copy_button=True,
+                        value=""
                     )
         
         # Connect button to the wrapper function

requirements.txt

@@ -1,5 +1,5 @@
 pybullet>=3.2.5
-gradio==4.44.1
+gradio>=4.44.1
 imageio>=2.20.0
 # transformers>=4.21.0
 # torch>=1.12.0