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import streamlit as st
from transformers import pipeline
st.set_page_config(page_title="Your Image to Audio Story",
page_icon="🦜")
st.header("Turn Your Image to Audio Story")
uploaded_file = st.file_uploader("Select an Image...")
if uploaded_file is not None:
print(uploaded_file)
bytes_data = uploaded_file.getvalue()
with open(uploaded_file.name, "wb") as file:
file.write(bytes_data)
st.image(uploaded_file, caption="Uploaded Image",
use_column_width=True)
#Stage 1: Image to Text
st.text('Processing img2text...')
scenario = img2text(uploaded_file.name)
st.write(scenario)
#Stage 2: Text to Story
st.text('Generating a story...')
#story = text2story(scenario)
#st.write(story)
#Stage 3: Story to Audio data
#st.text('Generating audio data...')
#audio_data =text2audio(story)
# Play button
if st.button("Play Audio"):
#st.audio(audio_data['audio'],
# format="audio/wav",
# start_time=0,
# sample_rate = audio_data['sampling_rate'])
st.audio("kids_playing_audio.wav") |