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# import part | |
import streamlit as st | |
from transformers import pipeline | |
from gtts import gTTS | |
import os | |
# function part | |
# img2text | |
def img2text(url): | |
try: | |
image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base") | |
text = image_to_text_model(url)[0]["generated_text"] | |
return text | |
except Exception as e: | |
st.error(f"Error in image to text conversion: {e}") | |
return None | |
# text2story | |
def text2story(text): | |
try: | |
story_generator = pipeline("text-generation", model="gpt2") | |
story = story_generator(text, max_length=100, num_return_sequences=1)[0]["generated_text"] | |
return story | |
except Exception as e: | |
st.error(f"Error in story generation: {e}") | |
return None | |
# text2audio | |
def text2audio(story_text): | |
try: | |
tts = gTTS(text=story_text, lang='en') | |
audio_file = "story_audio.mp3" | |
tts.save(audio_file) | |
return audio_file | |
except Exception as e: | |
st.error(f"Error in text to audio conversion: {e}") | |
return None | |
# main part | |
st.set_page_config(page_title="Your Image to Audio Story", page_icon="π¦") | |
st.header("Turn Your Image to Audio Story") | |
uploaded_file = st.file_uploader("Select an Image...", type=["jpg", "jpeg", "png"]) | |
if uploaded_file is not None: | |
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) | |
if scenario: | |
st.write("Image Caption:", scenario) | |
# Stage 2: Text to Story | |
st.text('Generating a story...') | |
story = text2story(scenario) | |
if story: | |
st.write("Generated Story:", story) | |
# Stage 3: Story to Audio data | |
st.text('Generating audio data...') | |
audio_file = text2audio(story) | |
if audio_file: | |
# Play button | |
if st.button("Play Audio"): | |
st.audio(audio_file, format="audio/mp3") | |
# Clean up the audio file after playing | |
os.remove(audio_file) |