Prathamesh1420 commited on
Commit
b259f8d
·
verified ·
1 Parent(s): 24b955a

Update app.py

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Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -2,7 +2,7 @@ import pandas as pd
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  import streamlit as st
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  from langchain.agents import AgentType
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  from langchain_experimental.agents import create_pandas_dataframe_agent
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- from langchain_ollama import ChatOllama
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  # streamlit web app configuration
@@ -12,7 +12,8 @@ st.set_page_config(
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  layout="centered"
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  )
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-
 
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  def read_data(file):
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  if file.name.endswith(".csv"):
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  return pd.read_csv(file)
@@ -54,9 +55,9 @@ if user_prompt:
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  # add user's message to chat history and display it
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  st.chat_message("user").markdown(user_prompt)
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  st.session_state.chat_history.append({"role":"user","content": user_prompt})
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-
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  # loading the LLM
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- llm = ChatOllama(model="gemma:2b", temperature=0)
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  pandas_df_agent = create_pandas_dataframe_agent(
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  llm,
 
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  import streamlit as st
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  from langchain.agents import AgentType
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  from langchain_experimental.agents import create_pandas_dataframe_agent
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+ from langchain_groq import ChatGroq
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  # streamlit web app configuration
 
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  layout="centered"
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  )
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+ with st.sidebar:
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+ groq_api_key=st.text_input("Groq API Key",value="",type="password")
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  def read_data(file):
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  if file.name.endswith(".csv"):
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  return pd.read_csv(file)
 
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  # add user's message to chat history and display it
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  st.chat_message("user").markdown(user_prompt)
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  st.session_state.chat_history.append({"role":"user","content": user_prompt})
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+
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  # loading the LLM
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+ llm =ChatGroq(model="Gemma-7b-It", groq_api_key=groq_api_key)
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  pandas_df_agent = create_pandas_dataframe_agent(
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  llm,