refactor: Reorder model configuration for improved clarity and update model selection logic

app.py

@@ -14,14 +14,14 @@ import shutil
 
 # Supported models configuration
 MODELS = {
-    "Qwen/Qwen2.5-Coder-32B-Instruct": {
-        "base_url": "https://api-inference.huggingface.co/v1/",
-        "env_key": "HF_TOKEN",
-    },
     "deepseek-ai/DeepSeek-V3": {
         "base_url": "https://api.deepseek.com/v1",
         "env_key": "DEEPSEEK_API_KEY",
     },
+    "Qwen/Qwen2.5-Coder-32B-Instruct": {
+        "base_url": "https://api-inference.huggingface.co/v1/",
+        "env_key": "HF_TOKEN",
+    },
 }
 
 # Initialize client with first available model
@@ -340,18 +340,18 @@ with gr.Blocks() as demo:
                     "Use the image as the background with a waveform visualization for the audio positioned in center of the video.",
                     0.7,
                     0.1,
-                    list(MODELS.keys())[0],
+                    (
+                        list(MODELS.keys())[1]
+                        if len(MODELS) > 1
+                        else list(MODELS.keys())[0]
+                    ),
                 ],
                 [
                     ["./examples/ai_talk.wav", "./examples/bg-image.png"],
                     "Use the image as the background with a waveform visualization for the audio positioned in center of the video. Make sure the waveform has a max height of 250 pixels.",
                     0.7,
                     0.1,
-                    (
-                        list(MODELS.keys())[1]
-                        if len(MODELS) > 1
-                        else list(MODELS.keys())[0]
-                    ),
+                    list(MODELS.keys())[0],
                 ],
                 [
                     [
@@ -366,7 +366,11 @@ with gr.Blocks() as demo:
                     "Create a 3x2 grid of the cat images with the audio as background music. Make the video duration match the audio duration.",
                     0.7,
                     0.1,
-                    list(MODELS.keys())[0],
+                    (
+                        list(MODELS.keys())[1]
+                        if len(MODELS) > 1
+                        else list(MODELS.keys())[0]
+                    ),
                 ],
             ],
             inputs=[user_files, user_prompt, top_p, temperature, model_choice],