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b8c8744
1
Parent(s):
7b594ac
feat: Add source documents on right of display
Browse files- app.py +10 -2
- message.py +4 -2
app.py
CHANGED
@@ -19,6 +19,7 @@ st.title("Sorbobot - Le futur de la recherche scientifique interactive")
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chat_column, doc_column = st.columns([2, 1])
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def initialize_session_state():
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if "history" not in st.session_state:
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st.session_state.history = []
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@@ -53,16 +54,20 @@ def initialize_session_state():
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return_source_documents=True,
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)
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def on_click_callback():
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with get_openai_callback() as cb:
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human_prompt = st.session_state.human_prompt
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llm_response = st.session_state.conversation(human_prompt)
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st.session_state.history.append(Message("human", human_prompt))
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st.session_state.history.append(
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Message(
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)
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st.session_state.token_count += cb.total_tokens
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load_css()
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initialize_session_state()
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@@ -142,4 +147,7 @@ with chat_column:
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with doc_column:
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if len(st.session_state.history) > 0:
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st.markdown("**Source document**")
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st.
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chat_column, doc_column = st.columns([2, 1])
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+
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def initialize_session_state():
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if "history" not in st.session_state:
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st.session_state.history = []
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return_source_documents=True,
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)
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+
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def on_click_callback():
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with get_openai_callback() as cb:
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human_prompt = st.session_state.human_prompt
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llm_response = st.session_state.conversation(human_prompt)
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st.session_state.history.append(Message("human", human_prompt))
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st.session_state.history.append(
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Message(
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"ai", llm_response["answer"], documents=llm_response["source_documents"]
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)
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)
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st.session_state.token_count += cb.total_tokens
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load_css()
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initialize_session_state()
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with doc_column:
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if len(st.session_state.history) > 0:
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st.markdown("**Source document**")
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for doc in st.session_state.history[-1].documents:
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expander = st.expander(doc.metadata["title"])
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expander.markdown("**" + doc.metadata["doi"] + "**")
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expander.markdown(doc.page_content)
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message.py
CHANGED
@@ -1,5 +1,7 @@
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from dataclasses import dataclass
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from typing import Literal, Optional
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@dataclass
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@@ -8,4 +10,4 @@ class Message:
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origin: Literal["human", "ai"]
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message: str
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-
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from dataclasses import dataclass
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from typing import Literal, Optional, List
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from langchain.schema import Document
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@dataclass
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origin: Literal["human", "ai"]
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message: str
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documents: Optional[List[Document]] = None
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