app.py

import streamlit as st
import requests
import os

# Variables
api_token = st.secrets["API_TOKEN"]

# Page Title
st.set_page_config(
    page_title="Speech-to-Text Transcription App", page_icon="👄", layout="wide"
)

def _max_width_():
    max_width_str = f"max-width: 1200px;"
    st.markdown(
        f"""
    <style>
    .reportview-container .main .block-container{{
        {max_width_str}
    }}
    </style>
    """,
        unsafe_allow_html=True,
    )

_max_width_()

# logo and header -------------------------------------------------

c30, c31, c32 = st.columns([2.5, 1, 3])

with c30:
    st.image("logo.png", width=350)
    st.header("")

with c32:

    st.title("")
    st.title("")
    st.caption("")
    st.caption("")
    st.caption("")
    st.caption("")
    st.caption("")
    st.caption("")

    st.write(
        "&nbsp &nbsp Made in [![this is an image link](https://i.imgur.com/iIOA6kU.png)](https://www.streamlit.io/)&nbsp, with :heart: by [@DataChaz](https://www.charlywargnier.com/) | [![this is an image link](https://i.imgur.com/thJhzOO.png)](https://www.buymeacoffee.com/cwar05)"
    )

st.text("")
st.markdown(
    f"""
                    The speech to text recognition is done via the [Facebook's Wav2Vec2 model.](https://huggingface.co/facebook/wav2vec2-large-960h)
                    """
)
st.text("")

# region Main

def main():
    pages = {
        "👾 Free mode (2MB per API call)": demo,
        "🤗 Full mode": API_key,

    }

    if "page" not in st.session_state:
        st.session_state.update(
            {
                # Default page
                "page": "Home",
            }
        )

    with st.sidebar:
        page = st.radio("Select your mode", tuple(pages.keys()))

    pages[page]()