Update app.py

app.py

@@ -4,6 +4,7 @@ import gradio as gr
 import deepspeech
 import requests
 import tarfile
+import wave
 
 # إعداد المسار للنموذج
 MODEL_DIR = 'deepspeech_model'
@@ -15,14 +16,14 @@ AUDIO_URL = 'https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/audi
 def download_model():
     if not os.path.exists(MODEL_DIR):
         os.makedirs(MODEL_DIR)
-    
+
     if not os.path.exists(MODEL_PATH):
         print("Downloading model...")
         model_url = 'https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm'
         response = requests.get(model_url)
         with open(MODEL_PATH, 'wb') as f:
             f.write(response.content)
-    
+
     if not os.path.exists(SCORER_PATH):
         print("Downloading scorer...")
         scorer_url = 'https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer'
@@ -37,7 +38,7 @@ def download_audio_samples():
         response = requests.get(AUDIO_URL)
         with open('audio-0.9.3.tar.gz', 'wb') as f:
             f.write(response.content)
-        
+
         with tarfile.open('audio-0.9.3.tar.gz') as tar:
             tar.extractall()
 
@@ -51,8 +52,8 @@ ds_model.enableExternalScorer(SCORER_PATH)
 
 # دالة لتحويل الصوت إلى نص
 def transcribe(audio):
-    fs, audio_data = wav.read(audio)
-    audio_data = np.frombuffer(audio_data, np.int16)
+    with wave.open(audio.name, 'rb') as w:
+        audio_data = np.frombuffer(w.readframes(w.getnframes()), np.int16)
     return ds_model.stt(audio_data)
 
 # واجهة المستخدم