Update app.py

Updated app.py

app.py

@@ -1,8 +1,10 @@
 import subprocess
 import sys
 
-# Force upgrade gradio
-subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", "gradio>=4.44.0"])
+# Force upgrade gradio (only for Hugging Face)
+import os
+if "SPACE_ID" in os.environ:
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", "gradio>=4.44.0"])
 
 import gradio as gr
 from transformers import (
@@ -18,12 +20,9 @@ print("🚀 Starting Kurmanji ASR application...")
 
 # Global variables
 asr = None
-model = None
-tokenizer = None
-feature_extractor = None
 
 def load_asr_model():
-    global asr, model, tokenizer, feature_extractor
+    global asr
     
     try:
         print("📥 Loading Whisper model for Kurmanji...")
@@ -101,76 +100,53 @@ def transcribe(audio_file):
         traceback.print_exc()
         return error_msg
 
+def clear_inputs():
+    return None, ""
+
 # Create Gradio interface with Kurdish elements
 print("🎨 Creating Gradio interface...")
 
-with gr.Blocks(title="Kurmancî ASR - Kurdish Speech Recognition") as demo:
-    
-    gr.Markdown("""
-    # 🗣️ Kurmancî ASR - Kurdish Speech Recognition
-    ### Deng bo Nivîs / Speech to Text
-    
-    Dengê xwe bi Kurmancî tomar bike û wekî nivîs bibîne.  
-    Record your voice in Kurmanji Kurdish and convert it to text.
-    """)
-    
-    with gr.Row():
-        with gr.Column():
-            audio_input = gr.Audio(
-                sources=["microphone", "upload"],  # Enable both mic recording and file upload
-                type="filepath",
-                label="🎤 Dengî tomar bike yan dosyeyekê lê bar bike / Record Voice or Upload File"
-            )
-            
-            submit_btn = gr.Button(
-                "Veguherîne / Transcribe", 
-                variant="primary",
-                size="lg"
-            )
-            
-            clear_btn = gr.Button(
-                "Paqij Bike / Clear",
-                variant="secondary"
-            )
-        
-        with gr.Column():
-            output_text = gr.Textbox(
-                label="📝 Encam / Result",
-                placeholder="Li virê dê nivîsa veguherandî xuya bibe... / Transcribed text will appear here...",
-                lines=10,
-                interactive=True,  # Allow users to edit the result
-                show_copy_button=True
-            )
-    
-    # Add examples section
-    gr.Markdown("### 💡 Mînak / Examples")
-    gr.Markdown("""
-    **Çawa bikar bînin / How to use:**
-    1. **Tomar bikin / Record:** Li ser butona mîkrofonê bitikînin û axaftin dest pê bikin
-    2. **An dosye bar bikin / Or upload:** Dosyeyek dengî (.wav, .mp3, .m4a) hilbijêrin
-    3. **Wergerînin / Transcribe:** Li ser "Wergerîne" bitikînin
-    
-    **Supported formats:** WAV, MP3, M4A, FLAC
-    """)
-    
-    # Event handlers
-    submit_btn.click(
-        fn=transcribe,
-        inputs=audio_input,
-        outputs=output_text,
-        show_progress=True
-    )
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(
+        sources=["microphone", "upload"],
+        type="filepath",
+        label="🎤 Deng Tomar Bike an Dosye Bar Bike / Record Voice or Upload File"
+    ),
+    outputs=gr.Textbox(
+        label="📝 Encam / Result",
+        placeholder="Li vir nivîsa wergerandî dê xuya bibe... / Transcribed text will appear here...",
+        lines=5,
+        show_copy_button=True
+    ),
+    title="🗣️ Kurmancî ASR - Kurdish Speech Recognition",
+    description="""
+    **Deng bo Nivîs / Speech to Text**
     
-    clear_btn.click(
-        fn=lambda: (None, ""),
-        inputs=[],
-        outputs=[audio_input, output_text]
-    )
-    
-    # Auto-transcribe when audio is recorded/uploaded (optional)
-    audio_input.change(
-        fn=transcribe,
-        inputs=audio_input,
-        outputs=output_text,
-        show_progress=True
-    )
+    **Formatên çêdibin:** WAV, MP3, M4A, FLAC
+    """,
+    submit_btn="Wergerîne / Transcribe",
+    clear_btn="Paqij Bike / Clear",
+    examples=[
+        # You can add example audio files here if you have them
+        # ["path/to/example1.wav"],
+        # ["path/to/example2.mp3"],
+    ],
+    cache_examples=False
+)
+
+print("🚀 Launching Gradio app...")
+
+if __name__ == "__main__":
+    try:
+        demo.launch(
+            share=False,
+            server_name="127.0.0.1",
+            server_port=7860,
+            show_error=True,
+            inbrowser=True,  # This will automatically open browser
+            debug=True
+        )
+    except Exception as e:
+        print(f"❌ Error launching interface: {e}")
+        traceback.print_exc()