Create asr.py

asr.py

@@ -0,0 +1,33 @@
+import json
+import subprocess
+import os
+from pathlib import Path
+
+class ASR:
+    def __init__(self, hive_home):
+        self.hive_home = Path(hive_home)
+        self.model_path = self.hive_home / "models" / "vosk"
+        self.ensure_model()
+    
+    def ensure_model(self):
+        if not self.model_path.exists():
+            print("Downloading Vosk model...")
+            os.makedirs(self.model_path.parent, exist_ok=True)
+            subprocess.run([
+                "wget", "-q", "-O", "-", 
+                "https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip"
+            ], check=True, stdout=subprocess.PIPE)
+            subprocess.run([
+                "unzip", "-q", "-", "-d", str(self.model_path.parent)
+            ], input=subprocess.Popen([
+                "wget", "-q", "-O", "-", 
+                "https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip"
+            ], stdout=subprocess.PIPE).stdout)
+    
+    def transcribe(self, audio_path):
+        try:
+            # Simple mock transcription for now
+            # In production, integrate Vosk properly
+            return "Transcribed text from audio"
+        except:
+            return "Could not transcribe audio"