src/pages/page2.py

import streamlit as st
import requests
from utils import Recorder, record_audio, play_mp3
import json

st.title("Audio Pipeline")

button_label = "record"

if st.button(button_label):
    st.write("recording...")
    recording_path = record_audio()
    button_label
    with open(recording_path, "rb") as audio_file:
        # Define the multipart/form-data payload
        files = {"audio_file": (recording_path.split("/")[-1], audio_file, "audio/mp3")}

        # Make the POST request
        stt_response = requests.post("http://localhost:8000/stt_query/", files=files)
        st.write("domanda :", stt_response.json())

        # LLM
        url = "http://localhost:8000/llm_query/"
        # Append the query parameter to the URL
        llm_response = requests.post(
            url=url, params={"llm_query": str(stt_response.content)}
        )
        data = llm_response.json()
        inner_data = json.loads(data["response_text"])

        # Now, you can access the data from the inner JSON
        risposta = inner_data.get("risposta")
        stato = inner_data.get("stato")
        tipologia = inner_data.get("tipologia")

        print(risposta)
        st.write("risposta: ", risposta)
        st.write("stato: ", stato)
        st.write("tipologia: ", tipologia)

        # TTS
        url = "http://localhost:8000/tts_query/"
        out_path = requests.post(url=url, params={"input_text": str(risposta)})
        print(out_path.json())
        play_mp3(out_path.json())