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import os
import tempfile
import requests
import streamlit as st
from src.pipeline.main import LearnableAI
from src.services.use_case_three.story_generator import StoryGenerator
from src.services.image_generation.image_gen import image_generation
def main():
st.title("LearnableAI")
learnable_ai = LearnableAI()
st.sidebar.header("Configuration")
use_case = st.sidebar.radio(
"Select Use Case",
["Use Case: 1(Word-Sentences)", "Use Case: 2(Image Describer)", "Use Case: 3(Story Generator From Image)"]
)
difficulty = st.sidebar.selectbox(
"Select Difficulty Level",
["Simple", "Easy", "Challenging", "Advanced"]
)
if use_case == "Use Case: 1(Word-Sentences)":
st.header("Word to Sentence Generation")
st.write(
"Enter a list of words and the child interest to generate the content for eg.Words: Apple, Banana interest: Ironman")
words = st.text_area(
"Words:",
"",
help="Enter multiple words separated by commas"
)
interest = st.text_input("Child Interest:", "",
help="Enter the interest area for the content ie. Superheroes, Animals, etc.")
if st.button("Generate Content", key="text_process"):
if words and interest:
try:
word_list = [w.strip() for w in words.split(",")] if "," in words else [words.strip()]
result = learnable_ai.word_to_sentence(
words=word_list,
interest=interest,
difficulties=difficulty
)
st.success("Content Generated Successfully!")
st.write("### Results")
st.write(result.split("</think>")[1].split("Image Generation Prompt")[0])
image_prompt = result.split("Image Generation Prompt")[1]
input = {
"prompt": image_prompt,
"go_fast": True,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"output_quality": 80,
"num_inference_steps": 4
}
output_image_url = image_generation(input)
image_bytes = requests.get(output_image_url).content
st.write("### Generated Image")
st.image(image_bytes, caption="Generated Image")
except Exception as e:
st.error(f"An error occurred: {str(e)}")
else:
st.warning("Please fill in both words and interest fields!")
elif use_case == "Use Case: 2(Image Describer)":
st.header("Image Description")
st.write("Upload an image or capture from camera to generate to generate the description of the image")
upload_method = st.radio(
"Choose Upload Method",
["Upload File", "Capture from Camera"]
)
if upload_method == "Upload File":
image_file = st.file_uploader(
"Upload an image",
type=["jpg", "jpeg", "png"]
)
else:
image_file = st.camera_input("Take a picture")
if image_file is not None:
st.image(image_file, caption="Uploaded Image", use_column_width=True)
if st.button("Generate Description", key="image_process"):
try: # temp image file
with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
temp_file.write(image_file.read())
temp_image_path = temp_file.name
result = learnable_ai.image_describer(
image_path=temp_image_path,
difficulties=difficulty
)
st.success("Image Processed Successfully!")
st.write("### Image Description Results")
st.write(result)
os.remove(temp_image_path) # remove temp image file
except Exception as e:
st.error(f"An error occurred while processing the image: {str(e)}")
elif use_case == "Use Case: 3(Story Generator From Image)":
st.title("Story Generator from Images")
st.write("Story writer from the images. Upload up to 3 images to generate a children's story.")
st.subheader("Upload up to 3 images and generate a children's story")
uploaded_files = st.file_uploader(
"Upload up to 3 images",
type=["jpg", "jpeg", "png"],
accept_multiple_files=True
)
if uploaded_files:
if len(uploaded_files) > 3:
st.error("You can upload a maximum of 3 images.")
else:
st.write("Uploaded Images:")
for uploaded_file in uploaded_files:
st.image(uploaded_file, caption=uploaded_file.name, use_column_width=True)
if st.button("Generate Story"):
story_generator = StoryGenerator()
story_parts = []
try:
for uploaded_file in uploaded_files:
with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
temp_file.write(uploaded_file.read())
temp_image_path = temp_file.name
story_part = story_generator.process_image(temp_image_path)
story_parts.append(story_part)
os.remove(temp_image_path)
full_story = "\n\n".join(story_parts)
st.success("Story Generated Successfully!")
st.write("### Your Story")
st.write(full_story)
except Exception as e:
st.error(f"An error occurred: {str(e)}")
if __name__ == "__main__":
main()
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