app.py

import streamlit as st
from tempfile import NamedTemporaryFile
from audiorecorder import audiorecorder
from whispercpp import Whisper

# Download whisper.cpp
w = Whisper('tiny')

def inference(audio):
    # Save audio to a file:
    with NamedTemporaryFile(suffix=".mp3") as temp:
        with open(f"{temp.name}", "wb") as f:
            f.write(audio.tobytes())
        result = w.transcribe(f"{temp.name}")
        text = w.extract_text(result)
    return text[0]

# Streamlit
with st.sidebar:
    audio = audiorecorder("Click to send voice message", "Recording... Click when you're done", key="recorder")
    st.title("Echo Bot with Whisper")

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# React to user input
if (prompt := st.chat_input("Your message")) or len(audio):
    # If it's coming from the audio recorder transcribe the message with whisper.cpp
    if len(audio)>0:
        prompt = inference(audio)

    # Display user message in chat message container
    st.chat_message("user").markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})

    response = f"Echo: {prompt}"
    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        st.markdown(response)
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})