Hinglish-AI-Mentor/streamlit_app_vc.py at main · LoopGlitch26/Hinglish-AI-Mentor · GitHub

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import streamlit as st
import azure.cognitiveservices.speech as speechsdk
from googletrans import Translator
from indictrans import Transliterator
import openai
from gtts import gTTS
from io import BytesIO

openai.api_key = st.secrets["openai_api_key"]
azure_speech_key = st.secrets["azure_key"]
azure_speech_region = st.secrets["azure_region"]

def chatbot_response(prompt):
    completions = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.8,
    )
    message = completions.choices[0].text
    return message

def text_to_speech(text):
    audio_bytes = BytesIO()
    tts = gTTS(text=text, lang="hi", slow=False)
    tts.write_to_fp(audio_bytes)
    audio_bytes.seek(0)
    return audio_bytes.read()

def transcribe_audio(audio_file):
    speech_config = speechsdk.SpeechConfig(subscription=azure_speech_key, region=azure_speech_region)
    audio_config = speechsdk.AudioConfig(filename=audio_file)
    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
    result = speech_recognizer.recognize_once_async().get()
    return result.text if result.reason == speechsdk.ResultReason.RecognizedSpeech else ""

def run_chatbot():
    default_prompt = "Answer in details in Hinglish language. Aap ek Microentreprenuer ke Mentor hai. Microentreprenuer ka sawaal:"
    user_input = st.text_input("Enter your query in Hinglish:")
    user_audio = st.file_uploader("Or upload an audio file:", type=["wav", "mp3"])

    if user_input:
        try:
            hindi_text = Transliterator(source='eng', target='hin').transform(user_input)
            english_text = Translator().translate(hindi_text, dest='en').text
            prompt = default_prompt + "\nYou: " + english_text
            response = chatbot_response(prompt)
            st.success(f"Chatbot: {response}")
            st.audio(text_to_speech(response), format="audio/wav")
        except Exception as e:
            st.error("Error: " + str(e))

    if user_audio:
        try:
            hindi_text = Transliterator(source='eng', target='hin').transform(user_input)
            english_text = Translator().translate(hindi_text, dest='en').text

            audio_transcript = transcribe_audio(english_text)
            prompt = default_prompt + "\nYou: " + audio_transcript
            response = chatbot_response(prompt)

            st.success(f"Chatbot: {response}")
            st.audio(text_to_speech(response), format="audio/wav")
        except Exception as e:
            st.error("Error: " + str(e))

if __name__ == "__main__":
    st.set_page_config(page_title="Hinglish Chatbot")
    st.title("Hinglish Chatbot")
    run_chatbot()