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  1. app.py +87 -0
  2. requirements.txt +9 -0
app.py ADDED
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+ from dotenv import load_dotenv
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+ import streamlit as st
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+ import os
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+ import google.generativeai as genai
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+ from PIL import Image
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+
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+ load_dotenv()
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+
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+ genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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+
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+ # Function to get response from Gemini model
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+ def get_gemini_response(input_prompt, image_data, genre, length, language, mood):
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+ model = genai.GenerativeModel('gemini-pro-vision')
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+ if image_data:
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+ full_prompt = f"""
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+ You are a creative writer. Look at the image provided and create a {length} {genre} in {language}. The {genre} should be {mood}. The {genre} should be based on the image and contain realistic and emotional elements.
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+ """
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+ response = model.generate_content([full_prompt, image_data[0]])
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+ else:
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+ full_prompt = f"""
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+ You are a creative writer. Create a {length} {genre} in {language}. The {genre} should be {mood}. The {genre} should be based on the following prompt:
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+
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+ "{input_prompt}"
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+
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+ Make sure it contains realistic and emotional elements.
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+ """
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+ response = model.generate_content([full_prompt])
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+
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+ # Check if response is valid and return text
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+ if response and response.parts:
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+ return response.parts[0].text
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+ else:
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+ raise ValueError("Sorry, But please try a different combination of inputs.")
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+
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+ # Function to setup uploaded image
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+ def input_image_setup(uploaded_file):
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+ if uploaded_file is not None:
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+ bytes_data = uploaded_file.getvalue()
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+ image_parts = [
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+ {
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+ "mime_type": uploaded_file.type,
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+ "data": bytes_data
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+ }
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+ ]
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+ return image_parts
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+ else:
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+ return None
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+
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+ # Initialize Streamlit app
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+ st.set_page_config(page_title="Poetic Vision", page_icon=":pencil:")
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+
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+ # Main UI components
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+ st.title("Story Maker App :pencil:")
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+ st.markdown("### Upload your image or provide a prompt to create a Vision around that: ")
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+
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+ input_prompt = st.text_input("Input Prompt (optional):", placeholder="Enter your prompt here...")
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+ uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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+
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+ genre = st.selectbox("Select Genre:", ["story", "shayari", "sher", "poem", "quote"])
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+ length = st.selectbox("Select Length:", ["short", "long"])
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+ language = st.selectbox("Select Language:", ["English", "Hindi"])
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+ mood = st.selectbox("Select Mood:", ["emotional", "sad", "happy", "horror", "comedy", "romantic"])
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+
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+ image = None
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+
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+ if uploaded_file is not None:
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+ image = Image.open(uploaded_file)
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+ st.image(image, caption="Uploaded Image", use_column_width=True)
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+
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+ submit = st.button("Generate")
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+
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+ # Handle submit action
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+ if submit:
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+ if uploaded_file or input_prompt:
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+ try:
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+ image_data = input_image_setup(uploaded_file)
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+ response = get_gemini_response(input_prompt, image_data, genre, length, language, mood)
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+ st.subheader("Generated Content:")
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+ st.write(response)
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+ except ValueError as e:
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+ st.error(f"Error: {str(e)}")
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+ else:
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+ st.error("Please upload an image or provide a prompt.")
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+
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+ st.sidebar.title("About")
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+ st.sidebar.info("This app uses AI to create stories, shayari, sher, ghazal, poems, or quotes based on an uploaded image or a provided prompt. "
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+ "Upload an image or enter a prompt, and select the genre, length, language, and mood to generate your content.")
requirements.txt ADDED
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+ streamlit
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+ google-generativeai
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+ python-dotenv
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+ langchain
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+ PyPDF2
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+ chromadb
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+ pdf2image
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+ faiss-cpu
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+ langchain_google_genai