Update app.py

app.py

@@ -24,14 +24,12 @@ from lang_list import (
 
 
 DESCRIPTION = """\
-### **IndicSeamless: Speech-to-Text Translation Model for Indian Languages** 🎙️➡️📜  
-This Gradio demo showcases **IndicSeamless**, a fine-tuned **SeamlessM4T-v2-large** model for **speech-to-text translation** across **13 Indian languages and English**. Trained on **BhasaAnuvaad**, the largest open-source speech translation dataset for Indian languages, it delivers **accurate and robust translations** across diverse linguistic and acoustic conditions.  
-🔗 **Model Checkpoint:** [ai4bharat/indic-seamless](https://huggingface.co/ai4bharat/indic-seamless)  
+### Translation Model for Indian Languages** 🎙️➡️📜 
 #### **How to Use:**  
 1. **Upload or record** an audio clip in any supported Indian language.  
 2. Click **"Translate"** to generate the corresponding text in the target language.  
 3. View or copy the output for further use.  
-🚀 Try it out and experience seamless speech translation for Indian languages!
+🚀 Try it out and experience seamless speech to speech translation for Indian languages!
 """
 
 hf_token = os.getenv("HF_TOKEN")
@@ -129,20 +127,6 @@ with gr.Blocks() as demo_s2tt:
         with gr.Column():
             output_text = gr.Textbox(label="Translated text")
 
-    gr.Examples(
-        examples=[
-            ["assets/Bengali.wav", "Bengali", "English"],
-            ["assets/Gujarati.wav", "Gujarati", "Hindi"],
-            ["assets/Punjabi.wav", "Punjabi", "Hindi"],
-
-        ],
-        inputs=[input_audio, source_language, target_language],
-        outputs=output_text,
-        fn=run_s2tt,
-        cache_examples=CACHE_EXAMPLES,
-        api_name=False,
-    )
-
     btn.click(
         fn=run_s2tt,
         inputs=[input_audio, source_language, target_language],
@@ -193,20 +177,6 @@ with gr.Blocks() as demo_asr:
         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,
-        cache_examples=CACHE_EXAMPLES,
-        api_name=False,
-    )
-
     btn.click(
         fn=run_asr,
         inputs=[input_audio, target_language],