Update app.py

app.py

@@ -5,19 +5,17 @@ import os
 from huggingface_hub import login
 import spaces
 
-# Get token from Space secrets
 HF_TOKEN = os.environ.get("HF_TOKEN")
 if HF_TOKEN:
     login(token=HF_TOKEN)
 
-# Load model from your private repo
-MODEL_ID = "badrex/JASR"  # Change this to match your repo!
+MODEL_ID = "badrex/JASR"
 transcriber = pipeline("automatic-speech-recognition", model=MODEL_ID)
 
 @spaces.GPU
 def transcribe(audio):
     sr, y = audio
-    # Convert to mono if stereo
+    # convert to mono if stereo
     if y.ndim > 1:
         y = y.mean(axis=1)
     y = y.astype(np.float32)
@@ -25,7 +23,6 @@ def transcribe(audio):
     return transcriber({"sampling_rate": sr, "raw": y})["text"]
 
 
-# Manually prepare example file paths without metadata
 examples = []
 examples_dir = "examples"
 if os.path.exists(examples_dir):
@@ -42,7 +39,6 @@ demo = gr.Interface(
     fn=transcribe,
     inputs=gr.Audio(),
     outputs="text",
-    #theme="gstaff/sketch",
     title="JASR 🐐 Dialectal Arabic Speech Recognition",
     description="""
         <div class="centered-content">
@@ -55,7 +51,8 @@ demo = gr.Interface(
                 Marhaba 👋🏼
                 <br>
                 <br>
-                 This is a demo for JASR, pronounced <i>Jasir</i>, an automatic speech recognition system optimized for the regional dialects of <i>Jazirat al-Arab</i>, or the Arabian Peninsula. The model is a fine-tune of the speech foundation model <a href="https://huggingface.co/facebook/w2v-bert-2.0" style="color: #FF5349;">w2v-BERT 2.0</a>, a 580M pre-trained speech encoder. 
+                 This is a demo for JASR, pronounced <i>Jasir</i>, a Transformer-based automatic speech recognition (ASR) system for dialectal Arabic.
+                 The current running instance is optimized for the regional dialects of <i>Jazirat al-Arab</i>, or the Arabian Peninsula. 
                 <br>                   
                 <p style="font-size: 15px; line-height: 1.8;">
                 Simply <strong>upload an audio file</strong> 📤 or <strong>record yourself speaking</strong> 🎙️⏺️ to try out the model!
@@ -64,7 +61,7 @@ demo = gr.Interface(
         </div>
         """,
     examples=examples if examples else None,
-    cache_examples=False,  # Disable caching to avoid issues
+    cache_examples=False,  
     flagging_mode=None,
 )