Create app.py

app.py

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+import whisper
+import streamlit as st
+import tempfile
+import os
+from io import BytesIO
+from pydub import AudioSegment
+from gtts import gTTS  # Import Google Text-to-Speech
+
+# Load Whisper model
+model = whisper.load_model("base")
+
+st.title("🎙️ Speech-to-Text & Back to Speech (Whisper AI + gTTS)")
+st.write("Upload an audio file to transcribe and convert back to speech!")
+
+# File uploader
+audio_file = st.file_uploader("Upload your audio file", type=["mp3", "wav", "m4a"])
+
+if audio_file is not None:
+    # Convert audio to WAV if needed
+    file_extension = audio_file.name.split(".")[-1]
+    with tempfile.NamedTemporaryFile(delete=False, suffix=f".{file_extension}") as temp_audio:
+        temp_audio.write(audio_file.read())
+        temp_audio_path = temp_audio.name
+
+    if file_extension != "wav":
+        audio = AudioSegment.from_file(temp_audio_path, format=file_extension)
+        temp_audio_path_wav = temp_audio_path.replace(file_extension, "wav")
+        audio.export(temp_audio_path_wav, format="wav")
+        os.remove(temp_audio_path)  # Remove original temp file
+        temp_audio_path = temp_audio_path_wav
+
+    # Audio playback
+    st.audio(audio_file, format="audio/wav")
+
+    with st.spinner("Transcribing..."):
+        result = model.transcribe(temp_audio_path)
+        transcription = result["text"]
+        st.success("Transcription Complete!")
+        st.write(transcription)
+
+    # Word count
+    word_count = len(transcription.split())
+    st.write(f"📝 Word Count: **{word_count}** words")
+
+    # Download button for transcription
+    output_txt = BytesIO()
+    output_txt.write(transcription.encode())
+    output_txt.seek(0)
+    st.download_button("📥 Download Transcription", output_txt, file_name="transcription.txt", mime="text/plain")
+
+    # Convert transcribed text back to speech using gTTS
+    tts = gTTS(text=transcription, lang="en")
+    speech_output_path = "output_speech.mp3"
+    tts.save(speech_output_path)
+
+    st.success("🔊 Text-to-Speech Conversion Complete!")
+    st.audio(speech_output_path, format="audio/mp3")
+
+    # Cleanup temp files
+    os.remove(temp_audio_path)