| from pathlib import Path | |
| import streamlit as st | |
| from audiorecorder import audiorecorder | |
| from openai import OpenAI | |
| open_ai = OpenAI( | |
| api_key="sk-dW5stjNmgnwJb00p-Hk-oQCwGhHPNMoT9Nrx4yQvH4T3BlbkFJgoCDc7RdDufCuXRQNCpcq_m4oUswu217zkojwaxw4A") | |
| st.set_page_config( | |
| layout="centered", | |
| page_icon="🤖", | |
| page_title="Voice Chat" | |
| ) | |
| st.title("Voice Chat") | |
| if 'chat' not in st.session_state: | |
| st.session_state.chat = [] | |
| def recordAudio(): | |
| audio = audiorecorder("Click to record", "Click to stop recording") | |
| if len(audio) > 0: | |
| audio.export("audio.wav", format="wav") | |
| userPrompt = speechToText() | |
| st.text(userPrompt) | |
| st.session_state.chat.append({ | |
| 'role': 'user', | |
| 'content': userPrompt | |
| }) | |
| answer = getAnswer(userPrompt) | |
| st.session_state.chat.append({ | |
| 'role': 'assistant', | |
| 'content': answer | |
| }) | |
| textToSpeech(answer) | |
| st.audio("reply.wav", autoplay=True) | |
| def speechToText(): | |
| audio_file = open("audio.wav", "rb") | |
| transcription = open_ai.audio.transcriptions.create( | |
| model="whisper-1", | |
| file=audio_file | |
| ) | |
| return transcription.text | |
| def textToSpeech(text): | |
| speech_file_path = Path(__file__).parent / "reply.wav" | |
| response = open_ai.audio.speech.create( | |
| model="tts-1", | |
| voice="alloy", | |
| input=text | |
| ) | |
| response.stream_to_file(speech_file_path) | |
| def getAnswer(question): | |
| response = open_ai.chat.completions.create( | |
| model="gpt-4o-mini", | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant who can uderstand native urdu andwho provide very very short response in urdu"}, | |
| *st.session_state.chat, | |
| {"role": "user", "content": question} | |
| ] | |
| ) | |
| return response.choices[0].message.content | |
| recordAudio() |