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import streamlit as st | |
from PIL import Image | |
from predictions import get_predictions | |
st.title("Image Whisper App") | |
uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"]) | |
if uploaded_image is not None: | |
st.subheader("Uploaded Image") | |
st.image(uploaded_image, use_column_width=True) | |
if st.button("Submit"): | |
with st.spinner("Analyzing image and generating narration... Please wait."): | |
processed_image, text,audio = get_predictions(uploaded_image) | |
st.success("Analysis complete!") | |
st.subheader("Output image with predicted instances") | |
st.image(processed_image, use_column_width=True) | |
st.subheader("Textual Description") | |
st.write(text) | |
st.subheader("Audio Narration") | |
if isinstance(audio, tuple): | |
sample_rate, audio_data = audio | |
st.audio(audio_data, format='audio/wav', sample_rate=sample_rate) | |
else: | |
st.audio(audio, format='audio/wav') |