Update utils.py

utils.py

@@ -1,24 +1,31 @@
-import torchaudio
+# utils.py
+import sounddevice as sd
+from scipy.io.wavfile import write
+import tempfile
 import os
+import whisper
+import json
 
-def save_uploaded_audio(uploaded_file, save_path="converted_audio.wav"):
-    try:
-        # Save to a temp file
-        temp_path = f"temp_{uploaded_file.name}"
-        with open(temp_path, "wb") as f:
-            f.write(uploaded_file.read())
+def record_audio(duration=5, fs=44100):
+    stt_file = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
+    recording = sd.rec(int(duration * fs), samplerate=fs, channels=1)
+    sd.wait()
+    write(stt_file.name, fs, recording)
+    return stt_file.name
 
-        # Load with torchaudio
-        waveform, sample_rate = torchaudio.load(temp_path)
+def transcribe_audio(audio_path, language="English"):
+    model = whisper.load_model("base")
+    result = model.transcribe(audio_path, language=language.lower())
+    return result['text']
 
-        # Convert to 16kHz mono .wav (Whisper preferred)
-        waveform = waveform.mean(dim=0).unsqueeze(0)
-        torchaudio.save(save_path, waveform, 16000)
-        
-        # Clean up temp
-        os.remove(temp_path)
+def save_audio_file(uploaded_file, filename):
+    path = os.path.join("audio", filename)
+    os.makedirs("audio", exist_ok=True)
+    with open(path, "wb") as f:
+        f.write(uploaded_file.read())
+    return path
 
-        return save_path
-    except Exception as e:
-        print(f"[Error] Audio conversion failed: {e}")
-        return None
+def save_chat_history(history, filename="chat_history.json"):
+    os.makedirs("history", exist_ok=True)
+    with open(os.path.join("history", filename), "w") as f:
+        json.dump(history, f, indent=4)