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Update app.py
Browse files
app.py
CHANGED
@@ -1,67 +1,27 @@
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import streamlit as st
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import google.generativeai as genai
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from
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from dotenv import load_dotenv
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import os
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# Load
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load_dotenv()
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GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
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# Page
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st.set_page_config(
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page_title="π Chat with PDFs",
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page_icon="π",
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layout="wide"
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)
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# Custom CSS styling
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st.markdown("""
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<style>
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.main {
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background-color: #f7f9fc;
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padding: 20px;
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}
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.stChatMessage {
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background-color: #ffffff;
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border-radius: 1rem;
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padding: 15px;
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margin: 10px 0;
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box-shadow: 0 2px 8px rgba(0,0,0,0.05);
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}
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.user-message {
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background-color: #e0f7fa;
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border-left: 5px solid #00796b;
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}
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.assistant-message {
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background-color: #fff8e1;
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border-left: 5px solid #fbc02d;
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}
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.sidebar .stButton button {
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width: 100%;
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}
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.uploaded-files {
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font-size: 0.9rem;
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color: #666;
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}
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</style>
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""", unsafe_allow_html=True)
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# Initialize session variables
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def initialize_session_state():
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"messages": [],
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"loaded_files": False,
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"pdf_content": None,
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"chat": None
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}
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for key,
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if key not in st.session_state:
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st.session_state[key] =
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# Load PDFs
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def load_pdfs(folder_path):
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if not os.path.exists(folder_path):
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os.makedirs(folder_path)
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documents = loader.load()
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return "\n\n".join(doc.page_content for doc in documents)
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# Initialize Gemini chat
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def initialize_chat(pdf_content):
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genai.configure(api_key=GOOGLE_API_KEY)
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"
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prompt = f"""You are a helpful assistant. Use the following PDF content to answer questions
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{pdf_content}
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If the answer is not in the content, kindly let the user know."""
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chat = model.start_chat(history=[])
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chat.send_message(prompt)
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return chat
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# Main application
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def main():
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initialize_session_state()
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st.title("π Chat with Your PDF Files")
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st.caption("Built with π‘ Gemini AI & LangChain")
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with st.sidebar:
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st.header("π Upload PDFs")
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uploaded_files = st.file_uploader(
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"Drag and drop PDFs here",
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type=["pdf"],
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accept_multiple_files=True,
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help="You can upload multiple PDFs"
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)
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if uploaded_files and not st.session_state.loaded_files:
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os.
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for f in os.listdir("pdfs"):
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os.remove(os.path.join("pdfs", f))
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for file in uploaded_files:
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with open(f"pdfs/{file.name}", "wb") as f_out:
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f_out.write(file.getvalue())
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with st.spinner("
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try:
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st.session_state.pdf_content =
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st.session_state.chat = initialize_chat(pdf_text)
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st.session_state.loaded_files = True
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st.
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except Exception as e:
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st.error(f"
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if st.session_state.loaded_files:
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st.subheader("π Files Uploaded")
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for file in uploaded_files:
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st.markdown(f"- {file.name}", unsafe_allow_html=True)
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# Chat section
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if st.session_state.loaded_files:
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for
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st.markdown(f"<div class='stChatMessage {css_class}'>{msg['content']}</div>", unsafe_allow_html=True)
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if prompt := st.chat_input("Ask something about the PDFs..."):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.markdown(
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with st.chat_message("assistant"):
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placeholder = st.empty()
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st.session_state.chat = initialize_chat(st.session_state.pdf_content)
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response = st.session_state.chat.send_message(prompt)
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reply = response.text
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placeholder.markdown(
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st.session_state.messages.append({"role": "assistant", "content": reply})
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except Exception as e:
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placeholder.error(f"
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else:
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st.info("
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if __name__ == "__main__":
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main()
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import streamlit as st
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import google.generativeai as genai
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from langchain_community.document_loaders import PyPDFDirectoryLoader
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from dotenv import load_dotenv
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import os
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# Load environment variables
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load_dotenv()
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GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
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# Page config
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st.set_page_config(page_title="π PDF Chat Assistant", page_icon="π€", layout="wide")
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def initialize_session_state():
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default_values = {
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"messages": [],
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"loaded_files": False,
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"pdf_content": None,
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"chat": None
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}
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for key, value in default_values.items():
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if key not in st.session_state:
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st.session_state[key] = value
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def load_pdfs(folder_path):
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if not os.path.exists(folder_path):
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os.makedirs(folder_path)
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documents = loader.load()
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return "\n\n".join(doc.page_content for doc in documents)
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def initialize_chat(pdf_content):
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel(
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model_name="gemini-1.5-pro",
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generation_config={
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"temperature": 0.7,
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"top_p": 0.95,
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"top_k": 40,
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"max_output_tokens": 8192,
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}
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)
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prompt = f"""You are a helpful assistant. Use the following PDF content to answer questions:\n{pdf_content}\nIf the answer isn't present, say so."""
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chat = model.start_chat(history=[])
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chat.send_message(prompt)
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return chat
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def main():
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initialize_session_state()
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st.markdown("<h1 style='text-align: center;'>π¬ PDF Chat Assistant</h1>", unsafe_allow_html=True)
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with st.sidebar:
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st.header("π Upload PDFs")
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uploaded_files = st.file_uploader("Choose PDF files", type=["pdf"], accept_multiple_files=True)
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if uploaded_files and not st.session_state.loaded_files:
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if not os.path.exists("pdfs"):
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os.makedirs("pdfs")
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for f in os.listdir("pdfs"):
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os.remove(os.path.join("pdfs", f))
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for file in uploaded_files:
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with open(f"pdfs/{file.name}", "wb") as f_out:
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f_out.write(file.getvalue())
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with st.spinner("π Reading PDFs..."):
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try:
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content = load_pdfs("pdfs")
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st.session_state.pdf_content = content
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st.session_state.loaded_files = True
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st.session_state.chat = initialize_chat(content)
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st.success("β
PDFs processed successfully!")
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except Exception as e:
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st.error(f"β Error loading PDFs: {str(e)}")
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if st.session_state.loaded_files:
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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if prompt := st.chat_input("Ask something about the PDFs..."):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.markdown(prompt)
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with st.chat_message("assistant"):
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placeholder = st.empty()
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st.session_state.chat = initialize_chat(st.session_state.pdf_content)
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response = st.session_state.chat.send_message(prompt)
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reply = response.text
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placeholder.markdown(reply)
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st.session_state.messages.append({"role": "assistant", "content": reply})
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except Exception as e:
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placeholder.error(f"β Failed to respond: {str(e)}")
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else:
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st.info("Upload some PDF files to begin chatting with them!")
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if __name__ == "__main__":
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main()
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