app.py

import os
import streamlit as st
import google.generativeai as genai  

# ✅ Load API key securely
api_key = os.getenv("GEMINI_API_KEY", st.secrets.get("GEMINI_API_KEY"))

# ✅ Check if API key is available
if not api_key:
    st.error("⚠️ API key is missing! Set GEMINI_API_KEY as an environment variable or in Streamlit Secrets.")
    st.stop()

# ✅ Configure Gemini API
genai.configure(api_key=api_key)

# ✅ Function to generate AI response
def generate_text(prompt, model, max_tokens, temperature):
    try:
        model = genai.GenerativeModel(model)
        response = model.generate_content(
            prompt,
            generation_config={
                "max_output_tokens": max_tokens,
                "temperature": temperature,
            },
        )
        if response and response.candidates:
            return response.candidates[0].content.parts[0].text
        else:
            return "⚠️ No valid response from Gemini AI."
    
    except Exception as e:
        return f"❌ Error: {str(e)}"

# ✅ Streamlit Page Configuration
st.set_page_config(page_title="Gemini AI Text Generator", layout="centered")

# ✅ Title & Description
st.title("Creative AI Assistant")
st.write("Generate AI-powered text by entering a prompt and customizing the settings.")

# ✅ Input Prompt
user_input = st.text_area("📝 Enter Your Prompt:", height=150, placeholder="Example: Write a formal article about climate change.")

# ✅ Sliders (Aligned Below Prompt)
temperature = st.slider("🎨 Creativity Level (1-10)", min_value=1, max_value=10, value=5) / 10  
max_tokens = st.slider("📏 Max Tokens (Word Length)", min_value=50, max_value=1000, value=300, step=50)

# ✅ AI Model Selection (Below Sliders)
model = st.selectbox("🤖 Choose AI Model", ["gemini-pro", "gemini-pro-code"])

# ✅ Generate Button (Below Model Selection)
if st.button("🚀 Generate Text"):
    if user_input.strip():
        with st.spinner("✨ Generating response..."):
            result = generate_text(user_input, model, max_tokens, temperature)
        st.subheader("🎯 Generated Response")
        st.write(result)
    else:
        st.warning("⚠️ Please enter a prompt before generating text.")

# ✅ Footer
st.markdown("---")
st.caption("🔹 *Powered by Gemini AI* | 🔹 *Developed with Streamlit*")