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app.py
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import streamlit as st
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import PyPDF2
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import openai
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import os
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# here we are calling our API for openAI
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os.environ["OPENAI_API_KEY"]
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# We need to upload the file
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def extract_text(pdfPath):
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reader = PyPDF2.PdfReader(pdfPath)
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text = ""
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for x in range(len(reader.pages)):
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page = reader.pages[x]
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text += page.extract_text() + "\n"
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return text
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# Ask GPT about the query
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def gptAnswer(prompt):
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# I will try a request to GPT for answer the question
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try:
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resp = openai.ChatCompletion.create(
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model = "gpt-4o-mini",
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messages = [
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{"role" : "system", "content" : "You are helpful assistant."},
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{"role": "user", "content" : prompt}
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],
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max_tokens = 1024
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)
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answer = resp.choices[0].message["content"].strip()
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return answer
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except Exception as e:
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return f"An error occured: {e}"
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def main():
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st.title("PDF Q&A with GPT-4o-MINI")
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st.write("""
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Upload a PDF Document, and ask the question based on the content
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""")
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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:
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with st.spinner("Extracting the text from the PDF...."):
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text = extract_text(uploaded_file)
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st.success("Text Extraction is Completed!!")
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if not text:
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st.warning("No text found in the uploaded file!!")
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return
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question = st.text_input("Ask your questions related to PDF:")
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if st.button("Get Answer"):
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if question:
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with st.spinner("GPT-4o-mini is generating answer.."):
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prompt = f"Here is the content of a PDF document: \n\n{text}\n\nBased on the text, answer the above question:\n\n{question}"
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answer = gptAnswer(prompt)
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st.write("***Answer***")
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st.write(answer)
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else:
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st.warning("Please enter a question!")
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if __name__ == "__main__":
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main()
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