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Update app.py
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app.py
CHANGED
@@ -4,6 +4,8 @@ from PIL import Image
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import io
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from gtts import gTTS
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import time
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# Set page title
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st.set_page_config(page_title="Kids Story Generator")
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@@ -12,73 +14,121 @@ st.set_page_config(page_title="Kids Story Generator")
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st.title("Kids Story Generator")
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st.write("Upload a picture and let's create a magical story!")
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# Initialize models
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@st.cache_resource
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def load_models():
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# Function to generate caption from image
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def generate_caption(image):
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# Function to generate story from caption (less than 100 words)
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def generate_story(caption):
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# Function to convert text to speech
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def text_to_speech(text):
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# File uploader
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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# Display the uploaded image
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st.markdown("---")
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st.write("Created for
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import io
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from gtts import gTTS
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import time
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import os
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import traceback
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# Set page title
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st.set_page_config(page_title="Kids Story Generator")
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st.title("Kids Story Generator")
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st.write("Upload a picture and let's create a magical story!")
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# Initialize models with better error handling
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@st.cache_resource
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def load_models():
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try:
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image_to_text = pipeline("image-to-text", model="microsoft/git-base-coco")
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story_generator = pipeline("text-generation", model="gpt2")
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return image_to_text, story_generator, None
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except Exception as e:
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return None, None, str(e)
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# Load models with status indicator
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with st.spinner("Loading models..."):
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image_to_text, story_generator, error = load_models()
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if error:
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st.error(f"Failed to load models: {error}")
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else:
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st.success("Models loaded successfully!")
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# Function to generate caption from image
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def generate_caption(image):
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try:
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result = image_to_text(image)
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if result and len(result) > 0:
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caption = result[0]['generated_text']
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return caption, None
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return "An interesting image", "No caption generated"
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except Exception as e:
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return "An interesting image", str(e)
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# Function to generate story from caption (less than 100 words)
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def generate_story(caption):
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try:
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prompt = f"Once upon a time, {caption} "
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# Debug output
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st.write(f"Prompt: {prompt}")
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# Generate with increased timeout and temperature
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result = story_generator(
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prompt,
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max_length=100,
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do_sample=True,
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temperature=0.9,
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top_p=0.95
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)
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# Debug output
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st.write(f"Generation result: {result}")
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if result and len(result) > 0:
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story = result[0]['generated_text']
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# Ensure story doesn't exceed 100 words
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words = story.split()
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if len(words) > 100:
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words = words[:100]
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story = " ".join(words)
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# Add period to the end if needed
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if not story.endswith(('.', '!', '?')):
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story += '.'
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return story, None
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return "Story generation failed.", "No story generated"
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except Exception as e:
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st.error(f"Error in story generation: {str(e)}")
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st.error(traceback.format_exc())
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return "Once upon a time... (Story generation failed)", str(e)
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# Function to convert text to speech
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def text_to_speech(text):
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try:
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tts = gTTS(text=text, lang='en', slow=False)
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audio_file = "story_audio.mp3"
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tts.save(audio_file)
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return audio_file, None
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except Exception as e:
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return None, str(e)
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# File uploader
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None and image_to_text is not None and story_generator is not None:
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# Display the uploaded image
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try:
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image = Image.open(uploaded_file)
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st.image(image, caption='Uploaded Image', use_container_width=True)
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# Generate button
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if st.button("Generate Story"):
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with st.spinner("Generating your story..."):
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# Generate caption
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caption, caption_error = generate_caption(image)
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if caption_error:
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st.warning(f"Caption generation issue: {caption_error}")
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st.write("Image caption:", caption)
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# Generate story
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story, story_error = generate_story(caption)
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if story_error:
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st.warning(f"Story generation issue: {story_error}")
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word_count = len(story.split())
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st.write(f"### Your Story ({word_count} words)")
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st.write(story)
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# Generate audio
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audio_file, audio_error = text_to_speech(story)
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if audio_error:
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st.warning(f"Audio generation issue: {audio_error}")
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else:
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# Display audio
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st.write("### Listen to your story")
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st.audio(audio_file)
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except Exception as e:
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st.error(f"Error processing image: {str(e)}")
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st.error(traceback.format_exc())
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st.markdown("---")
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st.write("Created for ISOM5240_Assignment1")
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