Chat_with_Multiple_Documents / streamlit_app.py
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import streamlit as st
import requests
# Streamlit UI
def streamlit_ui():
st.title("Chat with your Document πŸ“„")
st.markdown("Chat hereπŸ‘‡")
icons = {"assistant": "πŸ€–", "user": "πŸ‘€"}
if 'messages' not in st.session_state:
st.session_state.messages = [{'role': 'assistant', "content": 'Hello! Upload a PDF, DOCX, or TXT file and ask me anything about its content.'}]
for message in st.session_state.messages:
with st.chat_message(message['role'], avatar=icons[message['role']]):
st.write(message['content'])
with st.sidebar:
st.title("Menu:")
uploaded_file = st.file_uploader("Upload your document (PDF, DOCX, TXT)", type=["pdf", "docx", "txt"])
if st.button("Submit & Process") and uploaded_file:
with st.spinner("Processing..."):
files = {"file": (uploaded_file.name, uploaded_file.getvalue(), uploaded_file.type)}
response = requests.post("http://localhost:8000/upload", files=files)
if response.status_code == 200:
st.success("File uploaded and processed successfully")
else:
st.error("Error uploading file")
user_prompt = st.chat_input("Ask me anything about the content of the document:")
if user_prompt:
st.session_state.messages.append({'role': 'user', "content": user_prompt})
with st.chat_message("user", avatar=icons["user"]):
st.write(user_prompt)
# Trigger assistant's response retrieval and update UI
with st.spinner("Thinking..."):
response = requests.post("http://localhost:8000/query", json={"question": user_prompt})
if response.status_code == 200:
assistant_response = response.json()["response"]
with st.chat_message("assistant", avatar=icons["assistant"]):
st.write(assistant_response)
st.session_state.messages.append({'role': 'assistant', "content": assistant_response})
else:
st.error("Error querying document")
if __name__ == "__main__":
streamlit_ui()