src/streamlit_app.py

import streamlit as st
import sys
import subprocess
import os

# --- FORCE INSTALLER (The "Fixer") ---
def install_package(package):
    try:
        subprocess.check_call([sys.executable, "-m", "pip", "install", package])
    except Exception as e:
        st.error(f"Installation failed for {package}: {e}")

# Check if Gemini is missing, then install it
try:
    import google.generativeai as genai
except ImportError:
    # Build ke waqt hi install karne ki koshish karega
    install_package("google-generativeai")
    import google.generativeai as genai

# --- PAGE CONFIG ---
st.set_page_config(page_title="Nexus Flow AI Pro", page_icon="⚡", layout="wide")

# --- API KEY ---
if "GOOGLE_API_KEY" in st.secrets:
    genai.configure(api_key=st.secrets["GOOGLE_API_KEY"])
else:
    st.error("⚠️ Sanjeev, please add GOOGLE_API_KEY in Settings > Secrets!")
    st.stop()

# --- THE BRAIN ---
instruction = "You are Nexus Flow AI Pro, Sanjeev's digital avatar. Expert in Video Editing (Punch Edit) and Coding."
model = genai.GenerativeModel("gemini-1.5-flash", system_instruction=instruction)

# --- SIMPLE CHAT ---
if "messages" not in st.session_state:
    st.session_state.messages = []

for m in st.session_state.messages:
    with st.chat_message(m["role"]):
        st.markdown(m["content"])

if prompt := st.chat_input("Kaise help karu Sanjeev?"):
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)
    
    with st.chat_message("assistant"):
        try:
            response = model.generate_content(prompt)
            st.markdown(response.text)
            st.session_state.messages.append({"role": "assistant", "content": response.text})
        except Exception as e:
            st.error(f"Model Error: {e}")