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import gradio as gr |
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import requests |
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import os |
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY") |
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FIRECRAWL_KEY = os.getenv("FIRECRAWL_KEY") |
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def lovable_agent(query): |
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if not GEMINI_API_KEY: |
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return "❌ Gemini API key missing" |
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if not FIRECRAWL_KEY: |
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return "❌ Firecrawl API key missing" |
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crawl = requests.post( |
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"https://api.firecrawl.dev/v1/search", |
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headers={"Authorization": f"Bearer {FIRECRAWL_KEY}"}, |
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json={"query": query}, |
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).json() |
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context = str(crawl) |
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payload = { |
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"model": "gemini-2.5-flash-lite", |
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"messages": [ |
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{"role": "system", "content": "You are an agentic AI assistant."}, |
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{"role": "user", "content": f"Research:\n{context}\n\nQuestion: {query}"} |
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], |
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"max_tokens": 1000, |
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} |
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reply = requests.post( |
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"https://generativelanguage.googleapis.com/v1beta/openai/chat/completions?key=" + GEMINI_API_KEY, |
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json=payload |
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).json() |
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try: |
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return reply["choices"][0]["message"]["content"] |
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except: |
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return "⚠️ API Response Error:\n" + str(reply) |
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ui = gr.Interface( |
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fn=lovable_agent, |
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inputs=gr.Textbox(label="Ask anything", placeholder="Ex: Generate YouTube strategy..."), |
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outputs=gr.Textbox(label="Lovable Agent Output"), |
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title="❤️ Open Lovable — Agentic Intelligence", |
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description="Gemini + Firecrawl powered research agent" |
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) |
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ui.launch() |
