app.py

import streamlit as st
import pickle
import cohere
import os

# Initialize Cohere Client
api_key = os.environ["API_KEY"]
model_id= os.environ['MODEL_ID']
co = cohere.Client(api_key) 

# Function to generate text using Cohere API
# Function to generate text using Cohere API
def generate_text(prompt, temperature):
 response = co.generate(
 model=model_id, # Replace with your Cohere model ID
 prompt=prompt,
 max_tokens= 2000,
 temperature=temperature,
 stop_sequences=['\n\n'],
 )
 return response

# Function to save chat history
def save_chat_history(chat_history):
 with open("chat_history.pkl", "wb") as file:
 pickle.dump(chat_history, file)

# Function to load chat history
def load_chat_history():
 try:
 with open("chat_history.pkl", "rb") as file:
 return pickle.load(file)
 except FileNotFoundError:
 return []

# Streamlit app
def main():
 st.markdown(
 """
 <style>
 body {
 background-image: url("https://www.creativefabrica.com/wp-content/uploads/2020/08/09/Set-of-hand-drawn-books-in-doodle-style-Graphics-4900608-1-580x385.jpg"); /* Replace "background.jpg" with your custom image */
 background-size: cover;
 }
 </style>
 """,
 unsafe_allow_html=True
 )
 st.title("EdGuard 📚🤓")
 st.write("Welcome to EdGuard your learning partner! 😉😎")
 st.write("Use the example prompt or write your own. ✍🏼")
 
 # Load chat history
 chat_history = load_chat_history()
 
 # Temperature slider
 temperature = st.slider("Creativity", min_value=0.1, max_value=1.0, step=0.1, value=0.5)
 
 # Example prompts
 example_prompts = [
 "A ball is thrown vertically upward with an initial velocity of 20 m/s. Assuming no air resistance, calculate the time it takes for the ball to reach its maximum height and the maximum height reached by the ball.",
 "Calculate the number of moles of sodium chloride (NaCl) present in 250 grams of NaCl. (Molar Mass of NaCl = 58.44 g/mol)",
 "What is the value of x: ((7x*2)/9)+8=10. ",
 "A bakery sells cupcakes for $2.50 each. If Sarah buys 5 cupcakes and John buys 3 cupcakes, how much do they spend in total?"
 ]
 
 # Prompt selection
 prompt_option = st.selectbox("Choose or enter a query:", ["Select an example query"] + example_prompts + ["Enter your own query"])
 
 # Text area for custom prompt
 if prompt_option == "Enter your own query":
 prompt = st.text_area("Start Writing:")
 elif prompt_option == "Select an example query":
 prompt = ""
 else:
 prompt = prompt_option
 
 # Generate text on button click
 if st.button("Let's start learning!"):
 with st.spinner("Generating..."):
 generated_text = generate_text(prompt, temperature)
 st.success("Yay!🎉 I found something, let's look at it.")
 st.write(generated_text)
 
 # Save chat history
 chat_history.append({"Question": prompt, "Response": generated_text})
 save_chat_history(chat_history)

if __name__ == "__main__":
 main()