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| import streamlit as st | |
| from utils import Recorder, record_audio, play_mp3 | |
| import os | |
| import requests | |
| import ast | |
| import json | |
| st.title("PinocchioLand!") | |
| # Display an image | |
| st.image( | |
| "https://i.pinimg.com/736x/30/e9/36/30e936e18912e9a5670b88ec94630b4a.jpg", | |
| use_column_width=True, | |
| ) | |
| 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()) | |