Assignment1 / app.py
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# import part
import streamlit as st
from transformers import pipeline
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"]
# Remove unwanted words like "illustration"
text = text.replace("illustration", "").strip()
# Make the caption more fun and happy
fun_caption = f"🌟 Wow! This picture shows {text.lower()}. Let’s turn it into a fun story! 🌟"
return fun_caption
except Exception as e:
st.error(f"Oops! Something went wrong while looking at your picture. Please try again! 😊")
return None
# text2story
def text2story(text):
try:
# Use a better model for text generation (e.g., GPT-Neo)
story_generator = pipeline("text-generation", model="EleutherAI/gpt-neo-125M")
# Add a fun and happy prompt to guide the story generation
prompt = f"One sunny day, {text}. "
story = story_generator(prompt, max_length=100, num_return_sequences=1)[0]["generated_text"]
# Remove any unwanted text (e.g., usernames, special characters)
story = " ".join([word for word in story.split() if not word.startswith("@") and not word.startswith("http")])
# Make the story more fun by adding a happy ending
happy_story = story + " And everyone had a big smile on their faces at the end of the day! πŸ˜„πŸŒˆ"
return happy_story
except Exception as e:
st.error(f"Oops! Something went wrong while creating your story. Please try again! 😊")
return None
# text2audio
def text2audio(story_text):
try:
# Use a reliable TTS model (e.g., ESPnet's VITS model)
tts_pipeline = pipeline("text-to-speech", model="espnet/kan-bayashi_ljspeech_vits")
audio_output = tts_pipeline(story_text)
audio_file = "story_audio.wav"
# Save the audio file
with open(audio_file, "wb") as f:
f.write(audio_output["audio"])
return audio_file
except Exception as e:
st.error(f"Oops! Something went wrong while turning your story into audio. Please try again! 😊")
return None
# main part
st.set_page_config(page_title="Story Maker", page_icon="😊")
st.header("πŸ˜„ Story Maker: Turn Your Picture into a Happy Story! πŸ˜„")
uploaded_file = st.file_uploader("πŸ“· Choose a picture to create a fun story...", 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="Your fun picture!", use_container_width=True)
# Stage 1: Image to Text
st.write("🌟 Let’s see what’s in your picture... 🌟")
scenario = img2text(uploaded_file.name)
if scenario:
st.write(scenario)
# Stage 2: Text to Story
st.write("πŸ“– Turning your picture into a fun story... πŸ“–")
story = text2story(scenario)
if story:
st.write("πŸ“– Here’s your fun story:")
st.write(story)
# Stage 3: Story to Audio data
st.write("🎀 Getting ready to tell your story... 🎀")
audio_file = text2audio(story)
if audio_file:
# Play button
if st.button("🎧 Listen to Your Story!"):
st.audio(audio_file, format="audio/wav")
# Clean up the audio file after playing
os.remove(audio_file)