app.py

import streamlit as st
import openai

# OpenAI API key 
openai.api_key = st.secrets ["openai"] ["api_key"]

# Page Title
st.title("LemmaTeks: AI-Powered Text Generator")

# Sidebar for Settings
with st.sidebar:
    st.header("Configuration")
    
    # Dropdown for Output Format
    output_format = st.selectbox(
        "Choose Output Format:", 
        ["Story", "Poem", "Article", "Code"]
    )
    
    # Dropdown for Tone/Style
    tone_style = st.selectbox(
        "Select Tone/Style:", 
        ["Formal", "Informal", "Humorous", "Technical"]
    )
    
    # Sliders for Text Length and Creativity
    text_length = st.slider("Text Length (words):", min_value=50, max_value=1000, step=50)
    creativity_level = st.slider("Creativity Level:", min_value=0.0, max_value=1.0, step=0.1)
    
    # Number of Responses
    num_responses = st.number_input("Number of Responses:", min_value=1, max_value=5, step=1)
    
    # Checkboxes for Features
    creative_mode = st.checkbox("Enable Creative Mode")
    fact_checking = st.checkbox("Enable Fact-Checking")

# Text Input Field
user_prompt = st.text_area("Enter Your Prompt Here:")

# Submit Button
if st.button("Generate"):
    if user_prompt.strip() == "":
        st.warning("Please enter a prompt before generating!")
    else:
        # Process AI Request
        st.write("Generating responses...")
        
        try:
            # OpenAI API call
            response = openai.Completion.create(
                engine="text-davinci-003",  # GPT-3.5 engine
                prompt=f"Format: {output_format}\nTone: {tone_style}\nPrompt: {user_prompt}",
                max_tokens=text_length,  # Approximate word count
                temperature=creativity_level,  # Creativity level
                n=num_responses  # Number of responses
            )
            
            # Display Responses
            for i, choice in enumerate(response.choices):
                st.subheader(f"Response {i + 1}")
                st.write(choice.text.strip())
        
        except openai.error.OpenAIError as e:
            st.error(f"An error occurred: {e}")