app.py

import os
import tempfile
import streamlit as st
from google import genai
from jinja2 import Template

st.title("Audio Transcription with Speaker Identification")
st.write("Upload an audio file to generate a transcript with speakers identified.")

# API Key Input
api_key_input = st.text_input(
    "Gemini API Key", 
    type="password",
    help="You can also set it via GEMINI_API_KEY environment variable."
)
api_key = api_key_input or os.getenv("GEMINI_API_KEY")

# Speakers Input
speakers_input = st.text_input(
    "Known Speakers (comma-separated)",
    help="List known speaker names. Leave empty if unknown."
)
speakers = [s.strip() for s in speakers_input.split(",")] if speakers_input else []

# File Upload
audio_file = st.file_uploader(
    "Upload Audio File",
    type=["mp3", "wav", "m4a", "ogg", "mp4"]
)

if st.button("Generate Transcript"):
    if not api_key:
        st.error("Please provide a Gemini API key.")
    elif not audio_file:
        st.error("Please upload an audio file.")
    else:
        with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
            tmp_file.write(audio_file.read())
            tmp_file_path = tmp_file.name

        try:
            # Initialize GenAI client
            client = genai.Client(api_key=api_key)
            
            # Upload audio file
            uploaded_file = client.files.upload(file=tmp_file_path)

            # New token counting functionality
            try:
                token_info = client.models.count_tokens(
                    model='gemini-2.0-flash',
                    contents=[uploaded_file]
                )
                st.info(f"File contains approximately {token_info.total_tokens} tokens")
            except AttributeError:
                st.warning("Token counting not available in current API version")

            # Create prompt template
            prompt_template = Template("""[...your existing template here...]""")

            prompt = prompt_template.render(speakers=speakers)

            # Generate content
            response = client.models.generate_content(
                model="gemini-2.0-flash",
                contents=[prompt, uploaded_file],
            )

            # Display results
            st.subheader("Transcript")
            st.code(response.text, language="text")

        except Exception as e:
            st.error(f"An error occurred: {str(e)}")
        finally:
            os.remove(tmp_file_path)

# Credits section in sidebar
st.sidebar.markdown("""
**Credits**
- Transcription powered by [Gemini API](https://ai.google.dev/)
- Heavy inspired by https://github.com/philschmid/gemini-samples/blob/main/examples/gemini-transcribe-with-timestamps.ipynb
""")