Create app.py

app.py

@@ -0,0 +1,53 @@
+import streamlit as st
+import tempfile
+import os
+import google.generativeai as genai
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# 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):
+    """Summarize 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(
+        [
+            "Please summarize the following audio.",
+            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('Your Audio Summarization App')
+
+with st.expander("About Summarization app"):
+    st.write("""
+        This application utilizes Google's generative AI to summarise the content of audio files. 
+        Simply upload your WAV or MP3 file to receive a brief summary of its contents.
+    """)
+
+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)
+
+    if st.button('Summarize Audio'):
+        with st.spinner('Please Wait : Summarizing...'):
+            summary_text = summarize_audio(audio_path)
+            st.info(summary_text)