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alwinvargheset@outlook.com
commited on
Commit
•
3e532b2
1
Parent(s):
ea8cba3
added chat-bot
Browse files- app.py +3 -3
- pages/1_Introduction Round.py +3 -3
- pages/2_Warm Up Round.py +3 -3
- pages/3_Interview Round.py +3 -3
app.py
CHANGED
@@ -1,5 +1,5 @@
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import streamlit as st
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from secret_key import openapi_key, groq_api_key
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import os
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from groq import Groq
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from langchain_groq import ChatGroq
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@@ -17,7 +17,7 @@ st.sidebar.markdown("Navigate using the options above")
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#key = st.sidebar.text_input("Groq API Key ", type="password")
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if "groq_key" not in st.session_state:
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st.session_state.groq_key =
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#if not key and not st.session_state.groq_key:
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#st.sidebar.info("Please add your API key to continue")
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@@ -26,7 +26,7 @@ if "groq_key" not in st.session_state:
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#if key:
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#st.session_state.groq_key = key
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os.environ['GROQ_API_KEY'] = groq_api_key
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llm = ChatGroq(
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groq_api_key=groq_api_key,
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model_name="mixtral-8x7b-32768"
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import streamlit as st
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#from secret_key import openapi_key, groq_api_key
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import os
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from groq import Groq
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from langchain_groq import ChatGroq
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#key = st.sidebar.text_input("Groq API Key ", type="password")
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if "groq_key" not in st.session_state:
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st.session_state.groq_key = os.getenv('GROQ_API_KEY')
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#if not key and not st.session_state.groq_key:
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#st.sidebar.info("Please add your API key to continue")
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#if key:
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#st.session_state.groq_key = key
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#os.environ['GROQ_API_KEY'] = groq_api_key
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llm = ChatGroq(
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groq_api_key=groq_api_key,
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model_name="mixtral-8x7b-32768"
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pages/1_Introduction Round.py
CHANGED
@@ -5,7 +5,7 @@ from langchain.chains import LLMChain
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import os
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from langchain_groq import ChatGroq
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from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage,HumanMessage,SystemMessage)
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from langchain.prompts.chat import (
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@@ -41,11 +41,11 @@ if "Resume Info" not in st.session_state or not st.session_state["Resume Info"]:
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st.info("Please upload your Resume")
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st.stop()
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os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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# Initialize Groq client
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client= ChatGroq(
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groq_api_key=
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model_name="mixtral-8x7b-32768"
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)
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memory = ConversationBufferMemory(
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import os
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from langchain_groq import ChatGroq
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#from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage,HumanMessage,SystemMessage)
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from langchain.prompts.chat import (
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st.info("Please upload your Resume")
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st.stop()
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#os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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# Initialize Groq client
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client= ChatGroq(
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groq_api_key=os.getenv('GROQ_API_KEY'),
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model_name="mixtral-8x7b-32768"
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)
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memory = ConversationBufferMemory(
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pages/2_Warm Up Round.py
CHANGED
@@ -4,7 +4,7 @@ from langchain.prompts import PromptTemplate
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from langchain.chains import LLMChain
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import os
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from langchain_groq import ChatGroq
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from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage, HumanMessage, SystemMessage)
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from langchain.prompts.chat import (
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@@ -45,10 +45,10 @@ if not st.session_state["Job Description"]:
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st.info("Please add your job description")
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st.stop()
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-
os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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client = ChatGroq(
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groq_api_key=
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model_name="mixtral-8x7b-32768"
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)
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### Extract previously asked Questions from the history
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from langchain.chains import LLMChain
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import os
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from langchain_groq import ChatGroq
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#from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage, HumanMessage, SystemMessage)
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from langchain.prompts.chat import (
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st.info("Please add your job description")
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st.stop()
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#os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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client = ChatGroq(
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groq_api_key=os.getenv('GROQ_API_KEY'),
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model_name="mixtral-8x7b-32768"
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)
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### Extract previously asked Questions from the history
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pages/3_Interview Round.py
CHANGED
@@ -5,7 +5,7 @@ from langchain.chains import LLMChain
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import os
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from langchain_groq import ChatGroq
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-
from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage, HumanMessage, SystemMessage)
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from langchain.prompts.chat import (
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@@ -48,11 +48,11 @@ if not st.session_state["Job Description"]:
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st.info("Please add your job description")
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st.stop()
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os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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# Initialize Groq client with Mixtral model
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client = ChatGroq(
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groq_api_key=
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model_name="mixtral-8x7b-32768"
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)
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### Extract previously asked Questions from the history
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import os
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from langchain_groq import ChatGroq
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#from secret_key import groq_api_key
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import pandas as pd
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from langchain.schema import (AIMessage, HumanMessage, SystemMessage)
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from langchain.prompts.chat import (
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st.info("Please add your job description")
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st.stop()
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#os.environ['GROQ_API_KEY'] = st.session_state.groq_key
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# Initialize Groq client with Mixtral model
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client = ChatGroq(
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groq_api_key=os.getenv('GROQ_API_KEY'),
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model_name="mixtral-8x7b-32768"
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)
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### Extract previously asked Questions from the history
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