Create src/audio_processor.py

src/audio_processor.py

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+import speech_recognition as sr
+from gtts import gTTS
+import tempfile
+from pydub import AudioSegment
+
+class AudioProcessor:
+    def __init__(self):
+        self.recognizer = sr.Recognizer()
+
+    def audio_to_text(self, audio_file):
+        """Process an uploaded audio file and convert it to text."""
+        try:
+            # Convert audio file to WAV format
+            audio = AudioSegment.from_file(audio_file)
+            wav_file = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
+            audio.export(wav_file.name, format="wav")
+            print(f"Converted audio to WAV: {wav_file.name}")  # Debug statement
+
+            with sr.AudioFile(wav_file.name) as source:
+                audio = self.recognizer.record(source)
+                try:
+                    text = self.recognizer.recognize_google(audio)
+                except sr.UnknownValueError:
+                    text = "Could not understand audio"
+                except sr.RequestError:
+                    text = "Could not request results"
+            print(f"Recognized text: {text}")  # Debug statement
+            return text
+        except Exception as e:
+            print(f"Error processing audio file: {e}")  # Debug statement
+            return f"Error processing audio file: {e}"
+
+    def text_to_speech(self, text):
+        """Convert text to speech using gTTS and save as a .mp3 file."""
+        tts = gTTS(text)
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
+            tts.save(temp_audio.name)
+            return temp_audio.name