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Update app.py
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app.py
CHANGED
@@ -17,8 +17,8 @@ except ImportError:
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# Load the image captioning model
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caption_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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# Load the
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story_generator = pipeline("text-generation", model="
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def generate_caption(image):
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# Generate the caption for the uploaded image
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@@ -26,10 +26,9 @@ def generate_caption(image):
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return caption
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def generate_story(caption):
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# Generate the story based on the caption using the
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prompt = f"Imagine you are a storyteller for young children. Based on the image described as '{caption}', create a short and interesting story for children aged 3-10. Keep it positive and happy in tone."
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story = story_generator(messages)[0]["generated_text"]
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return story
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def convert_to_audio(story):
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@@ -58,7 +57,7 @@ def main():
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st.subheader("Generated Caption:")
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st.write(caption)
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# Generate the story based on the caption using the
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story = generate_story(caption)
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st.subheader("Generated Story:")
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st.write(story)
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# Load the image captioning model
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caption_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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# Load the GPT-2 model for story generation
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story_generator = pipeline("text-generation", model="gpt2")
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def generate_caption(image):
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# Generate the caption for the uploaded image
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return caption
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def generate_story(caption):
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# Generate the story based on the caption using the GPT-2 model
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prompt = f"Imagine you are a storyteller for young children. Based on the image described as '{caption}', create a short and interesting story for children aged 3-10. Keep it positive and happy in tone."
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story = story_generator(prompt, max_length=200, num_return_sequences=1)[0]["generated_text"]
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return story
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def convert_to_audio(story):
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st.subheader("Generated Caption:")
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st.write(caption)
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# Generate the story based on the caption using the GPT-2 model
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story = generate_story(caption)
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st.subheader("Generated Story:")
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st.write(story)
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