Update app.py
Browse files
app.py
CHANGED
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@@ -12,29 +12,30 @@ import spacy
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from spacy.lang.en import English
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import boto3
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import unittest
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-
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from scipy.optimize import minimize
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import numpy as np
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import matplotlib.pyplot as plt
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import seaborn as sns
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# Configure the Gemini API
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genai.configure(api_key=st.secrets["GOOGLE_API_KEY"])
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# Create the model with optimized parameters and enhanced system instructions
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generation_config = {
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"temperature": 0.
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"top_p": 0.
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"top_k":
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"max_output_tokens":
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}
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model = genai.GenerativeModel(
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model_name="gemini-
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generation_config=generation_config,
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system_instruction="""
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You are Ath, a highly knowledgeable code assistant.
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Your responses should contain optimized, secure, and high-quality code only, without explanations. You are designed to provide accurate, efficient, and cutting-edge code solutions.
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"""
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)
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chat_session = model.start_chat(history=[])
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@@ -111,7 +112,6 @@ def interact_with_cloud_services(service_name, action, params):
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def run_tests():
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"""Run automated tests using unittest."""
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# Ensure the tests directory is importable
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tests_dir = os.path.join(os.getcwd(), 'tests')
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if not os.path.exists(tests_dir):
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os.makedirs(tests_dir)
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@@ -125,11 +125,27 @@ def run_tests():
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test_result = test_runner.run(test_suite)
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return test_result
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def solve_equation(equation):
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"""Solve mathematical equations using SymPy."""
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x, y = symbols('x y')
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eq = Eq(eval(equation))
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solution = solve(eq, x)
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return solution
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def optimize_function(function, initial_guess):
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@@ -145,8 +161,19 @@ def visualize_data(data):
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plt.title('Correlation Heatmap')
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plt.show()
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# Streamlit UI setup
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st.set_page_config(page_title="
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st.markdown("""
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<style>
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@@ -158,7 +185,7 @@ st.markdown("""
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color: #1a202c;
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}
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.stApp {
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max-width:
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margin: 0 auto;
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padding: 2rem;
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}
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@@ -236,7 +263,7 @@ st.markdown("""
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""", unsafe_allow_html=True)
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st.markdown('<div class="main-container">', unsafe_allow_html=True)
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st.title("
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st.markdown('<p class="subtitle">Powered by Google Gemini</p>', unsafe_allow_html=True)
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prompt = st.text_area("What code can I help you with today?", height=120)
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@@ -271,12 +298,20 @@ if st.button("Generate Code"):
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st.success("All tests passed successfully!")
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else:
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st.error("Some tests failed. Please check the code.")
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except Exception as e:
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handle_error(e)
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st.markdown("""
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<div style='text-align: center; margin-top: 2rem; color: #4a5568;'>
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Created with ❤️ by Your
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</div>
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""", unsafe_allow_html=True)
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from spacy.lang.en import English
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import boto3
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import unittest
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import docker
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import sympy as sp
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from scipy.optimize import minimize
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import numpy as np
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import matplotlib.pyplot as plt
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import seaborn as sns
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from IPython.display import display
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# Configure the Gemini API
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genai.configure(api_key=st.secrets["GOOGLE_API_KEY"])
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# Create the model with optimized parameters and enhanced system instructions
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generation_config = {
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"temperature": 0.5, # Lower temperature for more deterministic responses
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"top_p": 0.7, # Adjusted for better diversity
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"top_k": 40, # Increased for more diverse tokens
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"max_output_tokens": 2048, # Increased for longer responses
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}
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model = genai.GenerativeModel(
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model_name="gemini-2.0-pro",
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generation_config=generation_config,
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system_instruction="""
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You are Ath, a highly knowledgeable and advanced code assistant. Your responses are optimized for secure, high-quality, and cutting-edge code solutions.
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"""
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)
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chat_session = model.start_chat(history=[])
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def run_tests():
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"""Run automated tests using unittest."""
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tests_dir = os.path.join(os.getcwd(), 'tests')
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if not os.path.exists(tests_dir):
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os.makedirs(tests_dir)
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test_result = test_runner.run(test_suite)
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return test_result
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def execute_code_in_docker(code):
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"""Execute code in a Docker container for safety and isolation."""
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client = docker.from_env()
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try:
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container = client.containers.run(
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image="python:3.9",
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command=f"python -c '{code}'",
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detach=True,
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remove=True
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)
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result = container.wait()
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logs = container.logs().decode('utf-8')
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return logs, result['StatusCode']
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except Exception as e:
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return f"Error: {e}", 1
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def solve_equation(equation):
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"""Solve mathematical equations using SymPy."""
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x, y = sp.symbols('x y')
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eq = sp.Eq(eval(equation))
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solution = sp.solve(eq, x)
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return solution
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def optimize_function(function, initial_guess):
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plt.title('Correlation Heatmap')
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plt.show()
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def analyze_data(data):
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"""Perform advanced data analysis using Pandas and NumPy."""
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df = pd.DataFrame(data)
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summary = df.describe()
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return summary
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def display_dataframe(data):
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"""Display a DataFrame in a user-friendly format."""
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df = pd.DataFrame(data)
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display(df)
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# Streamlit UI setup
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st.set_page_config(page_title="Ultra AI Code Assistant", page_icon="🚀", layout="wide")
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st.markdown("""
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<style>
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color: #1a202c;
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}
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.stApp {
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max-width: 1200px;
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margin: 0 auto;
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padding: 2rem;
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}
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""", unsafe_allow_html=True)
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st.markdown('<div class="main-container">', unsafe_allow_html=True)
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st.title("🚀 Ultra AI Code Assistant")
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st.markdown('<p class="subtitle">Powered by Google Gemini</p>', unsafe_allow_html=True)
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prompt = st.text_area("What code can I help you with today?", height=120)
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st.success("All tests passed successfully!")
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else:
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st.error("Some tests failed. Please check the code.")
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# Execute code in Docker
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execution_result, status_code = execute_code_in_docker(optimized_code)
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if status_code == 0:
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st.success("Code executed successfully in Docker!")
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st.text(execution_result)
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else:
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st.error(f"Code execution failed: {execution_result}")
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except Exception as e:
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handle_error(e)
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st.markdown("""
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<div style='text-align: center; margin-top: 2rem; color: #4a5568;'>
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Created with ❤️ by Your Ultra AI Code Assistant
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</div>
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""", unsafe_allow_html=True)
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