Fixed pydantic version issue

app.py

@@ -468,7 +468,7 @@ with gr.Blocks(title="ARIA - Art to Music Generator") as demo:
             results = gr.Markdown()
     
     gr.Markdown("""
-    ### About ARIA
+    ## About ARIA
     
     ARIA is a deep learning system that generates music from artwork by:
     1. Using a image-emotion model to extract emotional content from images
@@ -478,7 +478,7 @@ with gr.Blocks(title="ARIA - Art to Music Generator") as demo:
     ["Symbolic music generation conditioned on continuous-valued emotions"](https://ieeexplore.ieee.org/document/9762257).
     Original implementation: [github.com/serkansulun/midi-emotion](https://github.com/serkansulun/midi-emotion)
     
-    ### Conditioning Types
+    ## Conditioning Types
     
     **continuous_concat (Recommended)**  
     Creates a single vector from valence and arousal values, repeats it across the sequence, and concatenates it with every music token embedding. This approach gives the emotion information *global influence* throughout the entire generation process, allowing the transformer to access emotional context at every timestep. Research shows this method achieves the best performance in both note prediction accuracy and emotional coherence.

requirements.txt

@@ -2,7 +2,7 @@ torch>=2.1.0
 torchvision>=0.16.0
 numpy>=1.21.0
 Pillow>=10.0.0
-gradio>=4.0.0
+gradio>=5.30
 matplotlib>=3.7.0
 huggingface_hub>=0.19.0
 pretty-midi>=0.2.9
@@ -12,5 +12,4 @@ midi2audio>=0.1.1
 transformers>=4.35.0
 spaces>=0.32.0
 numba>=0.60.0
-llvmlite>=0.43.0
-pydantic==1.10.15
+llvmlite>=0.43.0