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Update app.py
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app.py
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import streamlit as st
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import datetime
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import os
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# Initialize session state variables
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if 'transcript_history' not in st.session_state:
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st.session_state.transcript_history = []
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#
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# Create the main layout
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col1, col2 = st.columns([2, 1])
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with col1:
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# Speech recognition component
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html = """
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<!DOCTYPE html>
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<html>
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recognition.continuous = true;
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recognition.interimResults = true;
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try {
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recognition.start();
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status.textContent = 'Listening...';
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}
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};
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stopButton.onclick = () => {
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recognition.stop();
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status.textContent = 'Stopped';
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clearButton.onclick = () => {
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fullTranscript = '';
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output.textContent = '';
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};
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recognition.onresult = (event) => {
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if (finalTranscript || (Date.now() - lastUpdateTime > 5000)) {
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if (finalTranscript) {
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fullTranscript += finalTranscript;
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//
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}, '*');
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} catch (e) {
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console.error('Failed to send transcript:', e);
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}
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}
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lastUpdateTime = Date.now();
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}
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stopButton.disabled = true;
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}
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};
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}
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</script>
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</body>
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</html>
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"""
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with col2:
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# Display transcript history
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st.subheader("Transcript History")
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transcript_text = st.empty()
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#
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def save_transcript(text):
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if not os.path.exists('transcripts'):
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os.makedirs('transcripts')
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timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
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filename = f"transcripts/transcript_{timestamp}.md"
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with open(filename, 'w', encoding='utf-8') as f:
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f.write(text)
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# Display
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if st.session_state.transcript_history:
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full_transcript = "\n".join(st.session_state.transcript_history)
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#
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with col1:
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if st.button("Save Transcript"):
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save_transcript(full_transcript)
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st.success("Transcript saved!")
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import streamlit as st
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import datetime
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import os
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import base64
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# Initialize session state variables
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if 'transcript_history' not in st.session_state:
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st.session_state.transcript_history = []
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# Function to create a download link for a string
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def get_download_link(text, filename):
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b64 = base64.b64encode(text.encode()).decode()
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return f'<a href="data:text/plain;base64,{b64}" download="{filename}">Download Transcript</a>'
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# Create the main layout
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st.title("Speech Recognition with Transcript History")
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col1, col2 = st.columns([2, 1])
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with col1:
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html = """
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<!DOCTYPE html>
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<html>
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recognition.continuous = true;
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recognition.interimResults = true;
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// Function to start recognition
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const startRecognition = () => {
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try {
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recognition.start();
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status.textContent = 'Listening...';
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}
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};
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// Auto-start on load
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window.addEventListener('load', () => {
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setTimeout(startRecognition, 1000); // Delay start by 1 second to ensure everything is loaded
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});
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startButton.onclick = startRecognition;
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stopButton.onclick = () => {
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recognition.stop();
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status.textContent = 'Stopped';
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clearButton.onclick = () => {
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fullTranscript = '';
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output.textContent = '';
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// Send clear signal to Streamlit
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window.parent.postMessage({type: 'clear'}, '*');
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};
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recognition.onresult = (event) => {
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if (finalTranscript || (Date.now() - lastUpdateTime > 5000)) {
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if (finalTranscript) {
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fullTranscript += finalTranscript;
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// Send to Streamlit
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window.parent.postMessage({
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type: 'transcript',
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text: finalTranscript
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}, '*');
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}
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lastUpdateTime = Date.now();
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}
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stopButton.disabled = true;
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}
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};
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// Listen for messages from Streamlit
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window.addEventListener('message', (event) => {
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if (event.data.type === 'clear') {
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fullTranscript = '';
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output.textContent = '';
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}
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});
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}
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</script>
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</body>
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</html>
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"""
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# Display the HTML component
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component = st.components.v1.html(html, height=400)
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with col2:
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# Display transcript history
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st.subheader("Transcript History")
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# Function to save transcript
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def save_transcript(text):
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if not os.path.exists('transcripts'):
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os.makedirs('transcripts')
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timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
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filename = f"transcripts/transcript_{timestamp}.md"
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with open(filename, 'w', encoding='utf-8') as f:
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f.write(text)
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return filename
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# Display transcript
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if st.session_state.transcript_history:
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full_transcript = "\n".join(st.session_state.transcript_history)
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st.text_area("Full Transcript", value=full_transcript, height=300)
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# Save transcript to file
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timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
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filename = f"transcript_{timestamp}.md"
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# Create download link
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st.markdown(get_download_link(full_transcript, filename), unsafe_allow_html=True)
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# Save to file system
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if st.button("Save to File"):
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saved_file = save_transcript(full_transcript)
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st.success(f"Saved to {saved_file}")
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# Handle transcript updates from JavaScript
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if component:
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try:
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data = component
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if isinstance(data, dict) and data.get('type') == 'transcript':
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st.session_state.transcript_history.append(data['text'])
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st.experimental_rerun()
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elif isinstance(data, dict) and data.get('type') == 'clear':
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st.session_state.transcript_history = []
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st.experimental_rerun()
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except Exception as e:
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st.error(f"Error processing transcript: {e}")
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