Upload app.py
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app.py
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import streamlit as st
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import pickle
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import cohere
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# Initialize Cohere Client
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co = cohere.Client('mBS7SXo0I577gd5g5lScX3rw1YKupJHQq866YvS6') # Replace with your Cohere API key
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# Function to generate text using Cohere API
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# Function to generate text using Cohere API
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def generate_text(prompt, temperature):
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response = co.generate(
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model='7f4b5dda-dcf2-40ca-9d4c-afdcaf435480-ft', # Replace with your Cohere model ID
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prompt=prompt,
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max_tokens= 2000,
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temperature=temperature,
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stop_sequences=['\n\n'],
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)
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return response
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# Function to save chat history
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def save_chat_history(chat_history):
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with open("chat_history.pkl", "wb") as file:
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pickle.dump(chat_history, file)
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# Function to load chat history
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def load_chat_history():
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try:
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with open("chat_history.pkl", "rb") as file:
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return pickle.load(file)
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except FileNotFoundError:
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return []
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# Streamlit app
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def main():
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st.markdown(
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"""
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<style>
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body {
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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 */
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background-size: cover;
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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st.title("EdGuard ππ€")
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st.write("Welcome to EdGuard your learning partner! ππ")
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st.write("Use the example prompt or write your own. βπΌ")
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# Load chat history
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chat_history = load_chat_history()
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# Temperature slider
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temperature = st.slider("Creativity", min_value=0.1, max_value=1.0, step=0.1, value=0.5)
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# Example prompts
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example_prompts = [
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"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.",
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"Calculate the number of moles of sodium chloride (NaCl) present in 250 grams of NaCl. (Molar Mass of NaCl = 58.44 g/mol)",
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"What is the value of x: ((7x*2)/9)+8=10. ",
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"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?"
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]
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# Prompt selection
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prompt_option = st.selectbox("Choose or enter a query:", ["Select an example query"] + example_prompts + ["Enter your own query"])
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# Text area for custom prompt
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if prompt_option == "Enter your own query":
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prompt = st.text_area("Start Writing:")
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elif prompt_option == "Select an example query":
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prompt = ""
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else:
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prompt = prompt_option
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# Generate text on button click
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if st.button("Let's start learning!"):
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with st.spinner("Generating..."):
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generated_text = generate_text(prompt, temperature)
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st.success("Yay!π I found something, let's look at it.")
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st.write(generated_text)
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# Save chat history
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chat_history.append({"Question": prompt, "Response": generated_text})
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save_chat_history(chat_history)
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if __name__ == "__main__":
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main()
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