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import streamlit as st |
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import requests |
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import time |
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GEMINI_API_KEY = st.secrets.get("GEMINI_API_KEY", "your-gemini-api-key") |
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OPENAI_API_KEY = st.secrets.get("OPENAI_API_KEY", "your-openai-api-key") |
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GEMINI_ENDPOINT = "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-pro:generateContent" |
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import openai |
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openai.api_key = OPENAI_API_KEY |
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def call_openai(prompt): |
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try: |
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response = openai.ChatCompletion.create( |
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model="gpt-4", |
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messages=[{"role": "user", "content": prompt}], |
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temperature=0.7 |
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) |
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return response['choices'][0]['message']['content'] |
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except Exception as e: |
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return f"OpenAI Error: {str(e)}" |
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def call_gemini(prompt): |
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headers = {"Content-Type": "application/json"} |
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params = {"key": GEMINI_API_KEY} |
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payload = {"contents": [{"parts": [{"text": prompt}]}]} |
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response = requests.post(GEMINI_ENDPOINT, headers=headers, params=params, json=payload) |
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if response.status_code == 200: |
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return response.json()['candidates'][0]['content']['parts'][0]['text'] |
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else: |
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return call_openai(prompt) |
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st.set_page_config(page_title="AutoExec AI", layout="wide") |
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st.title("🚀 AutoExec AI: Autonomous AI Business Launcher") |
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st.sidebar.header("Business Setup") |
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niche = st.sidebar.text_input("Niche (e.g. fitness, pets)") |
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ad_budget = st.sidebar.slider("Ad Budget per Day", 5, 100, 10) |
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business_type = st.sidebar.selectbox("Business Type", ["Dropshipping", "Print-on-Demand", "Newsletter", "Course"]) |
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platforms = st.sidebar.multiselect("E-Commerce Platforms", ["Shopify", "Gumroad", "WooCommerce"]) |
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run = st.sidebar.button("Launch") |
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if run: |
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strategy = call_gemini(f"Give me a viral business idea in the {niche} niche using {business_type}") |
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st.subheader("📈 Strategy") |
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st.markdown(strategy) |
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copy = call_gemini(f"Write a product description and landing page for a {niche} {business_type}") |
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st.subheader("📋 Copy") |
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st.markdown(copy) |
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ads = call_gemini(f"Create a $ {ad_budget}/day ad campaign for a {niche} product.") |
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st.subheader("💸 Ad Campaign") |
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st.markdown(ads) |
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st.success("Business Ready to Deploy") |
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