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Browse files- app.py +80 -0
- requirements.txt +2 -0
app.py
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import streamlit as st
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import google.generativeai as genai
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import os
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# Replace with your actual API key
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api_key = os.getenv("GEMINI_API_KEY")
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genai.configure(api_key=api_key)
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def multimodal_prompt(pdf_file, text_prompt):
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"""
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Sends a multimodal prompt to the Gemini model with a PDF and text.
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Args:
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pdf_file: The uploaded PDF file object.
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text_prompt: The text prompt.
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Returns:
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The model's response as a string.
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"""
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model = genai.GenerativeModel("gemini-1.5-flash")
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try:
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# Upload the PDF file
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pdf_file = genai.upload_file(pdf_file, mime_type="application/pdf")
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# Construct the prompt with the uploaded file and text
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prompt = [
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text_prompt,
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pdf_file
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]
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# Send the request to the model
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response = model.generate_content(prompt)
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return response.text
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except Exception as e:
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return f"An error occurred: {e}"
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# Streamlit UI
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st.title("Research Paper Summarization with Gemini AI")
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with st.expander("ℹ️ About"):
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st.write(
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"This app demonstrates how to use the Gemini API to generate multimodal content. "
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"You can upload a PDF file and provide a text prompt to summarize the content."
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)
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st.write("Ptogrammed by Louie F. Cervantes, M. Eng. (Information Engineering)")
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st.write("Department of Computer Science, College of Inormation and Communications")
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st.write("West Visayas State University, La Paz, Iloilo City, Philippines")
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# Task selection dropdown
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summarization_tasks = [
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"Extract the research paper's title, authors, and publication year.",
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"Summarize the main objectives or goals of this research study.",
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"Identify the research methodology or approach used in the study.",
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"List the key findings or results presented in the paper.",
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"Extract the research question or hypothesis being investigated.",
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"Summarize the significance or impact of the research findings.",
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"List the main keywords or concepts discussed in the paper.",
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"Provide a brief summary of the literature review or background section.",
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"Highlight the conclusion and recommendations provided by the authors.",
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"Identify any limitations or future research directions mentioned in the paper."
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]
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st.subheader("Select a Summarization Task")
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selected_task = st.selectbox("Choose a task from the list:", ["Custom Prompt"] + summarization_tasks)
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st.subheader("Or Enter a Custom Prompt")
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custom_prompt = st.text_input("Enter your custom prompt:")
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# Combine the selected task and custom prompt
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text_prompt = custom_prompt if selected_task == "Custom Prompt" else selected_task
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# File uploader for PDF
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uploaded_file = st.file_uploader("Choose a PDF file", type="pdf")
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if uploaded_file is not None and text_prompt:
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if st.button("Submit"):
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with st.spinner("Processing..."):
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response = multimodal_prompt(uploaded_file, text_prompt)
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st.write(response)
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requirements.txt
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streamlit
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google-generativeai
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