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Create app.py
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app.py
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import google.generativeai as genai
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import subprocess
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import re
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# π Configure Gemini API
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genai.configure(api_key="AIzaSyAdvERSmk7q02T2pLNPoERqDD-QPuW4RTs")
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# Pick a model
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model = genai.GenerativeModel("gemini-1.5-flash")
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def extract_code(response_text):
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"""Extracts Python code from Gemini's response (removes ``` fences)."""
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code_match = re.findall(r"```(?:python)?\n(.*?)```", response_text, re.DOTALL)
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if code_match:
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return code_match[0]
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return response_text.strip()
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def run_code(code):
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"""Executes code and returns output or error."""
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try:
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result = subprocess.run(
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["python3", "-c", code],
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capture_output=True,
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text=True,
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timeout=10
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)
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return result.stdout if result.stdout else result.stderr
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except Exception as e:
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return str(e)
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def recursive_ai_executor(task, depth=1):
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"""Recursive AI Executor with auto-run + visible output."""
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print(f"\nπΉ Task (Level {depth}): {task}")
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# Ask Gemini to generate code + usage
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prompt = f"Write Python code to {task}. Always include a sample call (like print(...)) so output is shown."
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response = model.generate_content(prompt)
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code = extract_code(response.text)
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print("\nπ Generated Code:\n", code)
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output = run_code(code)
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print("\nπ Execution Output:\n", output)
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# If no useful output, refine recursively
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if "Traceback" in output or output.strip() == "":
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if depth < 3:
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print("\nβ‘ Refining task...")
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return recursive_ai_executor(f"Fix the error: {output}", depth+1)
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else:
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print("\nβ Stopping after 3 attempts.")
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return output
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# π Interactive loop
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print("π€ Recursive AI Executor (type 'exit' to quit)\n")
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while True:
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user_task = input("Enter your Python task: ")
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if user_task.lower() in ["exit", "quit"]:
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print("π Exiting AI Executor.")
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break
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recursive_ai_executor(user_task)
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