Added better error handling and status for errors

app.py

@@ -1,102 +1,36 @@
-import os
 import gradio as gr
 import numpy as np
 
-
 io1 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_en-hk")
 io2 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_hk-en")
 io3 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_en-hk")
 io4 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_hk-en")
    
 def inference(audio, model):
-    if model == "xm_transformer_s2ut_en-hk":
-        out_audio = io1(audio)
-    elif model == "xm_transformer_s2ut_hk-en":
-        out_audio = io2(audio)
-    elif model == "xm_transformer_unity_en-hk":
-        out_audio = io3(audio)
-    else:
-        out_audio = io4(audio)
-    return out_audio 
-
-    
-css = """
-        .gradio-container {
-            font-family: 'IBM Plex Sans', sans-serif;
-        }
-        .gr-button {
-            color: black;
-            border-color: grey;
-            background: white;
-        }
-        input[type='range'] {
-            accent-color: black;
-        }
-        .dark input[type='range'] {
-            accent-color: #dfdfdf;
-        }
-        .container {
-            max-width: 730px;
-            margin: auto;
-            padding-top: 1.5rem;
-        }
-     
-        .details:hover {
-            text-decoration: underline;
-        }
-        .gr-button {
-            white-space: nowrap;
-        }
-        .gr-button:focus {
-            border-color: rgb(147 197 253 / var(--tw-border-opacity));
-            outline: none;
-            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
-            --tw-border-opacity: 1;
-            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
-            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
-            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
-            --tw-ring-opacity: .5;
-        }
-        .footer {
-            margin-bottom: 45px;
-            margin-top: 35px;
-            text-align: center;
-            border-bottom: 1px solid #e5e5e5;
-        }
-        .footer>p {
-            font-size: .8rem;
-            display: inline-block;
-            padding: 0 10px;
-            transform: translateY(10px);
-            background: white;
-        }
-        .dark .footer {
-            border-color: #303030;
-        }
-        .dark .footer>p {
-            background: #0b0f19;
-        }
-        .prompt h4{
-            margin: 1.25em 0 .25em 0;
-            font-weight: bold;
-            font-size: 115%;
-        }
-        .animate-spin {
-            animation: spin 1s linear infinite;
-        }
-        @keyframes spin {
-            from {
-                transform: rotate(0deg);
-            }
-            to {
-                transform: rotate(360deg);
-            }
-        }
-"""
-
-block = gr.Blocks(css=css)
-
+    try:
+        if not audio:
+            raise ValueError("No audio input provided")
+        
+        if model == "xm_transformer_s2ut_en-hk":
+            out_audio = io1(audio)
+        elif model == "xm_transformer_s2ut_hk-en":
+            out_audio = io2(audio)
+        elif model == "xm_transformer_unity_en-hk":
+            out_audio = io3(audio)
+        elif model == "xm_transformer_unity_hk-en":
+            out_audio = io4(audio)
+        else:
+            raise ValueError(f"Unsupported model: {model}")
+        
+        if not out_audio:
+            raise ValueError("Model failed to generate output")
+            
+        return out_audio, "Success"
+    except Exception as e:
+        print(f"Error during inference: {str(e)}")
+        return None, str(e)
 
+block = gr.Blocks()
 
 with block:
     gr.HTML(
@@ -128,10 +62,11 @@ with block:
                 )
                 
                 btn = gr.Button("Submit")
-        model = gr.Dropdown(choices=["xm_transformer_unity_en-hk", "xm_transformer_unity_hk-en", "xm_transformer_s2ut_en-hk", "xm_transformer_s2ut_hk-en"], value="xm_transformer_unity_en-hk",type="value", label="Model")
+        model = gr.Dropdown(choices=["xm_transformer_s2ut_en-hk", "xm_transformer_s2ut_hk-en"], value="xm_transformer_s2ut_en-hk", type="value", label="Model")
         out = gr.Audio(label="Output")
+        status = gr.Textbox(label="Status", interactive=False)
         
-        btn.click(inference, inputs=[audio, model], outputs=out) 
+        btn.click(inference, inputs=[audio, model], outputs=[out, status], api_name="inference") 
         gr.HTML('''
         <div class="footer">
                     <p>Model by <a href="https://ai.facebook.com/" style="text-decoration: underline;" target="_blank">Meta AI</a>