Update app.py

app.py

@@ -48,6 +48,7 @@ This Gradio demo showcases **IndicConformer**, a speech recognition model for **
 3. Click **"Transcribe"** to generate the corresponding text.  
 4. View or copy the output for further use.  
 
+
 """
 
 hf_token = os.getenv("HF_TOKEN")
@@ -155,19 +156,27 @@ with gr.Blocks() as demo_asr_ctc:
             btn = gr.Button("Transcribe")
         with gr.Column():
             output_text = gr.Textbox(label="Transcribed text")
+
+    gr.Examples(
+        examples=[
+            ["assets/Bengali.wav", "Bengali", "English"],
+            ["assets/Gujarati.wav", "Gujarati", "Hindi"],
+            ["assets/Punjabi.wav", "Punjabi", "Hindi"],
+
+        ],
         inputs=[input_audio, target_language],
         outputs=output_text,
         fn=run_asr_ctc,
         cache_examples=CACHE_EXAMPLES,
         api_name=False,
-#    )
+    )
 
-#    btn.click(
-#        fn=run_asr_ctc,
-#        inputs=[input_audio, target_language],
-#        outputs=output_text,
-#        api_name="asr",
-#    )
+    btn.click(
+        fn=run_asr_ctc,
+        inputs=[input_audio, target_language],
+        outputs=output_text,
+        api_name="asr",
+    )
 
 with gr.Blocks() as demo_asr_rnnt:
     with gr.Row():
@@ -182,6 +191,14 @@ with gr.Blocks() as demo_asr_rnnt:
             btn = gr.Button("Transcribe")
         with gr.Column():
             output_text = gr.Textbox(label="Transcribed text")
+
+    gr.Examples(
+        examples=[
+            ["assets/Bengali.wav", "Bengali", "English"],
+            ["assets/Gujarati.wav", "Gujarati", "Hindi"],
+            ["assets/Punjabi.wav", "Punjabi", "Hindi"],
+
+        ],
         inputs=[input_audio, target_language],
         outputs=output_text,
         fn=run_asr_rnnt,