Delete app.py

app.py

@@ -1,51 +0,0 @@
-import os
-import streamlit as st
-import requests
-from dotenv import load_dotenv
-
-# Load API keys
-load_dotenv()
-SKYVERN_API = os.getenv("SKYVERN_API_KEY")
-GEMINI_API = os.getenv("GEMINI_API_KEY")
-
-st.set_page_config(page_title="AI Automation Assistant", page_icon="🤖", layout="wide")
-st.title("🤖 Universal AI Automation Assistant")
-
-# User input
-task = st.text_input("What do you want me to do?", placeholder="Example: Order me a pizza, check my flight, apply for admission...")
-
-if st.button("Run Task"):
-    if not task.strip():
-        st.warning("Please enter a task.")
-    else:
-        st.write("⏳ Sending task to AI...")
-
-        try:
-            # Example Skyvern call
-            skyvern_response = requests.post(
-                "https://api.skyvern.com/tasks",
-                headers={"Authorization": f"Bearer {SKYVERN_API}"},
-                json={"task": task}
-            )
-
-            if skyvern_response.status_code == 200:
-                st.success("✅ Skyvern executed the automation task!")
-                st.json(skyvern_response.json())
-            else:
-                st.error(f"Skyvern error: {skyvern_response.text}")
-
-            # Example Gemini call (for reasoning / natural language)
-            gemini_response = requests.post(
-                "https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=" + GEMINI_API,
-                json={"contents": [{"parts": [{"text": task}]}]}
-            )
-
-            if gemini_response.status_code == 200:
-                reply = gemini_response.json()["candidates"][0]["content"]["parts"][0]["text"]
-                st.write("🤖 Gemini reasoning:")
-                st.info(reply)
-            else:
-                st.error(f"Gemini error: {gemini_response.text}")
-
-        except Exception as e:
-            st.error(f"Something went wrong: {e}")