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import streamlit as st
from utils2 import chat_model, Guidlines
# def home():
# st.title("Home Page")
# st.write("Welcome to the multi-screen Streamlit app. Use the sidebar to navigate between different screens.")
def prompt_response_screen():
st.title("Evalution Input App")
def respon(prompt, response):
input_data = Guidlines.format(prompt= prompt, response= response)
return chat_model.invoke(input_data).content
def display_results(result):
# Unpack and format the result dictionary
st.write(result)
# Collecting the Evalutions
prompt = st.text_area("Enter the user prompt:", "")
st.subheader("Model Response")
response1 = st.text_area("Enter the response model:", "")
# Process and display results
if st.button("Submit"):
if all([prompt, response1]):
# Process the responses
res1 = respon(prompt, response1)
st.subheader("Evalution")
st.write(res1)
else:
st.error("Please fill in all the fields.")
# def settings():
# st.title("Prompt Page")
# metadata = st.text_area("Enter the metadata:", "")
# if st.button("Submit"):
# data = f''' generate user prompt for below meta data. prompt should looks like it was written by user and it should be easy and in 2-3 lenght.
# METADATA: {metadata}'''
# response = chat_model.invoke(data).content
# st.write(f"**Prompt:**")
# st.write(f"**----------------------------**")
# st.write(f"{response}")
# followup_promp = f"please generate list of easy relatable follow up question for given prompt: {response} Note: it should only be questions and it should looks like it is written by user and it's should related to the given input prompt. question length should be 3-4 lines."
# response = chat_model.invoke(followup_promp).content
# st.write(f"**FollowUp questions:**")
# st.write(f"**----------------------------**")
# st.write(f"{response}")
def main():
st.sidebar.title("Navigation")
page = st.sidebar.radio("Select a page:", ["Evalution", "Prompt Page"])
if page == "Evalution":
prompt_response_screen()
# elif page == "Prompt Page":
# settings()
if __name__ == "__main__":
main()
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