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Update app.py
Browse files
app.py
CHANGED
@@ -1,38 +1,63 @@
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import
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import subprocess
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command = [
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"python", "-m", "graphrag.query",
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"--root", "./ragtest",
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"--method", "global",
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]
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result = subprocess.run(command, capture_output=True, text=True, check=True)
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return result.stdout
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except subprocess.CalledProcessError as e:
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return f"Error: {e.stderr}"
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demo = gr.ChatInterface(
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respond,
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examples=examples)
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import streamlit as st
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import subprocess
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st.title("POMS-QA with Knowledge Graph enhancement")
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def check_password():
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"""Returns `True` if the user had the correct password."""
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def password_entered():
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"""Checks whether a password entered by the user is correct."""
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if hmac.compare_digest(st.session_state["password"], "8888p4ss"):
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st.session_state["password_correct"] = True
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del st.session_state["password"] # Don't store the password.
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else:
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st.session_state["password_correct"] = False
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# Return True if the password is validated.
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if st.session_state.get("password_correct", False):
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return True
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# Show input for password.
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st.text_input(
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"Password", type="password", on_change=password_entered, key="password"
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)
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if "password_correct" in st.session_state:
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st.error("😕 Password incorrect")
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return False
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if not check_password():
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st.stop() # Do not continue if check_password is not True.
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# Initialize chat history
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat messages from history on app rerun
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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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# React to user input
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if prompt := st.chat_input("What is up?"):
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# Display user message in chat message container
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with st.chat_message("user"):
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st.markdown(prompt)
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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command = [
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"python", "-m", "graphrag.query",
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"--root", "./ragtest",
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"--method", "global",
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prompt
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]
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result = subprocess.run(command, capture_output=True, text=True, check=True)
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response = result.stdout
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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