File size: 1,928 Bytes
221ba92 fc48446 dadddbe fc48446 221ba92 fc48446 dadddbe fc48446 dadddbe fc48446 dadddbe 221ba92 dadddbe 221ba92 dadddbe df4ad39 cdac439 fc48446 dadddbe fc48446 cdac439 dadddbe fc48446 cdac439 dadddbe df4ad39 dadddbe cdac439 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os
# function part
# img2text
def img2text(url):
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
# text2story
def text2story(text):
story_generator = pipeline("text-generation", model="agentica-org/DeepScaleR-1.5B-Preview")
story = story_generator(text, max_length=200, num_return_sequences=1)[0]['generated_text']
return story
# text2audio
def text2audio(story_text):
# 创建 gTTS 对象
tts = gTTS(text=story_text, lang='en')
# 保存音频文件
audio_file = "story_audio.wav"
tts.save(audio_file)
return audio_file
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_file = text2audio(story)
# Play button
if st.button("Play Audio"):
with open(audio_file, "rb") as audio:
audio_bytes = audio.read()
st.audio(audio_bytes,
format="audio/wav",
start_time=0)
# 删除临时音频文件
if os.path.exists(audio_file):
os.remove(audio_file) |