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import streamlit as st
import google.generativeai as genai
from PIL import Image
import markdown
from docx import Document
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
from docx.shared import Pt
from io import BytesIO
import os
os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY")
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
model = genai.GenerativeModel('gemini-1.5-flash-latest')
def response(image):
prompt = """You are an intelligent document creator. Could you please extract the words from the given screenshot and provide me document text that matches exact screenshot font and look
important note: if the screenshot not contain any text means you must say 'please upload a valid screenshot.'"""
img = Image.open(image)
response = model.generate_content([prompt, img])
return response.text
def markdown_to_word(markdown_text):
# Create a new Word document
doc = Document()
for line in markdown_text.split('\n'):
if line.startswith('# '):
heading = line[2:]
p = doc.add_heading(heading, level=1)
elif line.startswith('## '):
heading = line[3:]
p = doc.add_heading(heading, level=2)
elif line.startswith('### '):
heading = line[4:]
p = doc.add_heading(heading, level=3)
elif line.startswith('- '):
item = line[2:]
p = doc.add_paragraph(item, style='ListBullet')
else:
p = doc.add_paragraph()
words = line.split(' ')
for word in words:
word = word.strip()
if word.startswith('**') and word.endswith('**'):
run = p.add_run(word[2:-2])
run.bold = True
elif '**' in word:
# Handle case where bold spans multiple words
start_index = word.find('**')
end_index = word.rfind('**')
if start_index != -1 and end_index != -1:
run = p.add_run(word[start_index + 2:end_index])
run.bold = True
p.add_run(' ')
# Add the remaining part of the word after bold formatting
p.add_run(word[end_index + 2:])
continue # Move to the next word
elif word.startswith('*') and word.endswith('*'):
run = p.add_run(word[1:-1])
run.italic = True
else:
p.add_run(word)
p.add_run(' ')
# Save the document to a BytesIO object
buffer = BytesIO()
doc.save(buffer)
buffer.seek(0)
return buffer
st.title("Image🖼️ - DOCUMENT📃")
st.markdown("""
<style>
.justified-text {
text-align: justify;
}
</style>
""", unsafe_allow_html=True)
with st.sidebar:
st.header("ABOUT:")
st.caption("""
<div class="justified-text">
Screenshot to Document file Creator is an AI powered app that allows users to effortlessly convert their screenshots into Word documents. Simply upload a screenshot, and the app will generate a Word document based on the image provided, ensuring a seamless and efficient conversion process. Ideal for anyone looking to quickly turn visual content into editable text documents.
</div>
""", unsafe_allow_html=True)
for _ in range(17):
st.write("")
st.subheader("Build By:")
st.write("[Suriya S❤️](https://github.com/theSuriya)")
st.write("contact: [Email](mailto:[email protected])")
fake_image_text = 'please upload a valid screenshot.'
st.text("Upload your screenshot to convert it into a Word document")
uploaded_file = st.file_uploader("", type=["png", "jpg", "jpeg"])
if uploaded_file:
st.image(uploaded_file)
button = st.button("Generate Document")
if button:
with st.spinner("Generating a Document..."):
text = response(uploaded_file)
st.write(text)
if text.lower().strip() != fake_image_text:
doc_buffer = markdown_to_word(text)
st.download_button(
label="Download",
data=doc_buffer,
file_name="output.docx",
mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
)
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