import streamlit as st import tempfile import os import google.generativeai as genai # Configure Google API for audio summarization GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") genai.configure(api_key=GOOGLE_API_KEY) def summarize_audio(audio_file_path, prompt): """Summarize and extract the audio using Google's Generative API.""" model = genai.GenerativeModel("models/gemini-1.5-pro-latest") audio_file = genai.upload_file(path=audio_file_path) response = model.generate_content( [ prompt, audio_file ] ) return response.text def save_uploaded_file(uploaded_file): """Save uploaded file to a temporary file and return the path.""" try: with tempfile.NamedTemporaryFile(delete=False, suffix='.' + uploaded_file.name.split('.')[-1]) as tmp_file: tmp_file.write(uploaded_file.getvalue()) return tmp_file.name except Exception as e: st.error(f"Error handling uploaded file: {e}") return None # Streamlit app interface st.title('SoundScape Intelligence: Unveiling Insights from Audio') with st.expander("About SoundScape Intelligence app"): st.write(""" This application utilizes Google's generative AI to summarize and extract key points from audio files . Simply upload your WAV or MP3 file and provide a prompt to receive insight from the files. """) audio_file = st.file_uploader("Upload Audio File", type=['wav', 'mp3']) if audio_file is not None: audio_path = save_uploaded_file(audio_file) # Save the uploaded file and get the path st.audio(audio_path) prompt = st.text_input("Enter your prompt:", "Please summarize the following audio.") if st.button('Extract Insight from Audio'): with st.spinner('Please Wait : Extracting Information...'): summary_text = summarize_audio(audio_path, prompt) st.info(summary_text) # Add a section to enter Google API Key st.sidebar.header("Google API Key") new_key = st.sidebar.text_input("Enter your Google API Key:", value=GOOGLE_API_KEY) if new_key: os.environ["GOOGLE_API_KEY"] = new_key GOOGLE_API_KEY = new_key genai.configure(api_key=GOOGLE_API_KEY)