Create app.py

app.py

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+import streamlit as st
+import openai
+import os
+from pydub import AudioSegment
+import numpy as np
+
+# Set your OpenAI API key here
+openai.api_key = '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'
+
+def generate_audio(text):
+    """Generate audio using OpenAI API"""
+    response = openai.Audio.create(
+        model="text-to-speech",
+        prompt=text
+    )
+    audio_file = response['audio']
+    return audio_file
+
+def transcribe_audio(file):
+    """Transcribe audio file to text"""
+    audio = AudioSegment.from_file(file)
+    audio_array = np.array(audio.get_array_of_samples())
+    # Transcribe using OpenAI API (pseudo code)
+    response = openai.Audio.transcribe(
+        model="whisper-1", 
+        audio=audio_array.tolist()
+    )
+    return response['text']
+
+def main():
+    st.title("Audio App with OpenAI API")
+
+    # Text-to-Audio section
+    st.header("Text to Audio")
+    user_text = st.text_area("Enter text:")
+    if st.button("Generate Audio"):
+        if user_text:
+            audio = generate_audio(user_text)
+            st.audio(audio, format='audio/wav')
+
+    # Audio-to-Text section
+    st.header("Audio to Text")
+    audio_file = st.file_uploader("Upload Audio File", type=["wav", "mp3", "ogg"])
+    if st.button("Transcribe Audio"):
+        if audio_file is not None:
+            transcription = transcribe_audio(audio_file)
+            st.write("Transcription:")
+            st.write(transcription)
+
+if __name__ == "__main__":
+    main()