Create pentest_ai_streamlit.py
Browse files- pentest_ai_streamlit.py +49 -0
pentest_ai_streamlit.py
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
|
| 3 |
+
|
| 4 |
+
# Load the model and tokenizer from Hugging Face
|
| 5 |
+
MODEL_NAME = "Canstralian/pentest_ai"
|
| 6 |
+
|
| 7 |
+
@st.cache_resource
|
| 8 |
+
def load_model():
|
| 9 |
+
# Load the tokenizer and model
|
| 10 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 11 |
+
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
|
| 12 |
+
return pipeline("text-generation", model=model, tokenizer=tokenizer)
|
| 13 |
+
|
| 14 |
+
# Load the pentest_ai model
|
| 15 |
+
pentest_ai = load_model()
|
| 16 |
+
|
| 17 |
+
# Streamlit interface setup
|
| 18 |
+
st.title("Pentest AI Assistant")
|
| 19 |
+
st.write("This tool allows you to ask penetration testing and cybersecurity-related queries, and it will generate AI-powered suggestions or commands.")
|
| 20 |
+
|
| 21 |
+
# Text input for user's question
|
| 22 |
+
user_input = st.text_area("Enter your question or command:")
|
| 23 |
+
|
| 24 |
+
# Button to trigger generation
|
| 25 |
+
if st.button("Generate Response"):
|
| 26 |
+
if user_input.strip() == "":
|
| 27 |
+
st.error("Please enter a valid input.")
|
| 28 |
+
else:
|
| 29 |
+
# Generate response using the model
|
| 30 |
+
with st.spinner("Generating response..."):
|
| 31 |
+
response = pentest_ai(user_input, max_length=150, num_return_sequences=1)[0]['generated_text']
|
| 32 |
+
|
| 33 |
+
# Display the model's response
|
| 34 |
+
st.subheader("AI Response:")
|
| 35 |
+
st.write(response)
|
| 36 |
+
|
| 37 |
+
# Add an example button to help users see a sample
|
| 38 |
+
if st.button("Show Example"):
|
| 39 |
+
example_query = "How do I scan a network for open ports?"
|
| 40 |
+
with st.spinner("Generating response for example query..."):
|
| 41 |
+
example_response = pentest_ai(example_query, max_length=150, num_return_sequences=1)[0]['generated_text']
|
| 42 |
+
|
| 43 |
+
st.subheader("Example Query:")
|
| 44 |
+
st.write(example_query)
|
| 45 |
+
st.subheader("AI Response:")
|
| 46 |
+
st.write(example_response)
|
| 47 |
+
|
| 48 |
+
# Instructions for the user
|
| 49 |
+
st.info("Note: This AI model provides general advice. Always ensure you're testing on systems you have permission to, and follow legal and ethical guidelines.")
|