app copy 4.py

import streamlit as st
from st_pages import Page, show_pages
from openai import OpenAI
from whisper_stt import whisper_stt

# Set page configuration
st.set_page_config(layout="wide")
show_pages([Page("app.py", "Home", "🏠")])

# Initialize session state variables
if 'paused' not in st.session_state:
    st.session_state.paused = False
if 'question_text' not in st.session_state:
    st.session_state.question_text = ""
if 'submitted' not in st.session_state:
    st.session_state.submitted = False   
if 'response_content' not in st.session_state:
    st.session_state.response_content = ""
if 'stopped' not in st.session_state:
    st.session_state.stopped = False
if 'function_call_count' not in st.session_state:
    st.session_state.function_call_count = 0       
if 'transcribed_text' not in st.session_state:
    st.session_state.transcribed_text = ""
if 'last_processed_text' not in st.session_state:
    st.session_state.last_processed_text = ""
if 'headers' not in st.session_state:
    st.session_state.headers = []

def create_anchor_link(text):
    if text is None:
        return ""
    return f"<a href='#{text.strip().lower().replace(' ', '-').replace(',', '').replace('.', '').replace(chr(39), '-')}'>{text}</a>"

def on_stop():
    st.session_state.stopped = True
expander = st.expander("Answer", expanded=True)
with expander:
    col0 = st.columns(1)[0]
    placeholder = col0.empty()  # Define the placeholder

def handle_enter(key):
    if key == "ctrl+enter":
        new_question = st.session_state.question_input
        print(f"handle_enter called. new_question: '{new_question}'")
        print(f"session state: {st.session_state}")

with st.sidebar:
    api_key = st.text_input("API Key", key="chatbot_api_key", type="password")

    col1, col2 = st.columns(2)

    with col1:
        # Call whisper_stt without a callback
        transcribed_text = whisper_stt(
            openai_api_key=api_key,
            language='en'
        )
        if transcribed_text:
            st.session_state.question_text = transcribed_text
            expander.header = transcribed_text

        # Check if new transcription is available
        if transcribed_text and transcribed_text != st.session_state.transcribed_text:
            st.session_state.transcribed_text = transcribed_text
            st.session_state.question_text = transcribed_text
            st.session_state.submitted = True

    if st.session_state.question_text:
        st.markdown(create_anchor_link(st.session_state.question_text), unsafe_allow_html=True)  

    if 'question_input' in st.session_state and st.session_state.question_input:
        st.markdown(create_anchor_link(st.session_state.question_input), unsafe_allow_html=True)         
    with col2:
        st.button(label='Stop', on_click=on_stop)
   
    # Create an input for the question and use new_question directly
    new_question = st.text_area("Question", 
        value=st.session_state.question_text or "", 
        height=150, 
        key="question_input",
        on_change=handle_enter,
        args=("ctrl+enter",)
    )
    print(f"After text_area, new_question: '{new_question}'")
    # Check if new_question has changed and is not empty
    if new_question and new_question != st.session_state.question_text:
        st.session_state.question_text = new_question
        st.session_state.submitted = True

    st.markdown("## Navigation")
    for header in st.session_state.headers:
        st.markdown(create_anchor_link(header), unsafe_allow_html=True)

if st.session_state.question_text and not api_key:
    st.info("Please add your OpenAI API key to continue.")
    st.stop()

if st.session_state.submitted and not st.session_state.stopped:
    st.session_state.headers.append(st.session_state.question_text)
    
    if st.session_state.function_call_count == 0:
        header = f'## {st.session_state.question_text}'
        anchor = create_anchor_link(st.session_state.question_text)
        st.session_state.response_content += f'{header}\n\n{anchor}\n\n'
    else:
        header = f'\n\n---\n{st.session_state.question_text}\n---\n\n'
        anchor = create_anchor_link(st.session_state.question_text)
        st.session_state.response_content += f'{header}{anchor}\n\n'
    
    st.session_state.function_call_count += 1
    client = OpenAI(api_key=api_key)
    st.session_state.messages = [{"role": "user", "content": st.session_state.question_text}]

    response = client.chat.completions.create(
        model="gpt-4o",
        messages=st.session_state.messages,
        stream=True
    )

    for chunk in response:
        if st.session_state.stopped:
            st.session_state.stopped = False
            st.session_state.submitted = False
            break
        else:
            if chunk and chunk.choices[0].delta.content:
                st.session_state.response_content += chunk.choices[0].delta.content
                placeholder.markdown(st.session_state.response_content, unsafe_allow_html=True)
    expander.header = "Completed Answer"
    st.session_state.submitted = False
    st.session_state.stopped = False

placeholder.markdown(st.session_state.response_content, unsafe_allow_html=True)
st.session_state.stopped = False