G-ai / Code

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74e6325 verified over 1 year ago

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import os
import sys

# Uninstall googlesearch library if already installed
os.system(f"{sys.executable} -m pip uninstall -y googlesearch-python")

# Function to install a module if missing
def install_and_import(module_name, package_name=None):
    package_name = package_name if package_name else module_name
    try:
        __import__(module_name)
    except ImportError:
        os.system(f"{sys.executable} -m pip install --upgrade {package_name}")
        __import__(module_name)

# Install and import required libraries individually
install_and_import("tkinter", "tk")
install_and_import("googlesearch", "googlesearch-python")
install_and_import("requests")
install_and_import("bs4", "beautifulsoup4")

# Now import installed modules
import random
import re
import tkinter as tk
from tkinter import scrolledtext
from googlesearch import search
import requests
from bs4 import BeautifulSoup

# Function to fetch code snippets
def fetch_code_snippet(query):
    search_query = f"{query} site:stackoverflow.com OR site:github.com OR site:geeksforgeeks.org OR site:w3schools.com"
    
    try:
        results = search(search_query, num_results=5)
        for url in results:
            try:
                response = requests.get(url, timeout=5)
                soup = BeautifulSoup(response.text, "html.parser")

                # Skip cookie banners
                if any(word in soup.text.lower() for word in ["accept cookies", "cookies", "subscribe", "sign-up", "free trial", "cookies"]):
                    continue  

                # Extract code snippets
                code_blocks = soup.find_all("code")
                for code in code_blocks:
                    code_text = clean_text(code.get_text())
                    if len(code_text.split()) > 5:
                        return f"Here's a possible solution from {url}:\n\n```{code_text}```"
            except Exception:
                continue

    except Exception:
        return "I couldn't find an exact code snippet, but I can help guide you!"

    return "I searched but didn't find an exact match. Try rephrasing!"

# Function to clean up scraped text
def clean_text(text):
    text = re.sub(r"\s+", " ", text)  # Remove extra spaces
    text = re.sub(r"\[.*?\]", "", text)  # Remove citation references like [1], [2]
    return text.strip()

# Function to fetch Reddit answers while avoiding login-required pages
def fetch_reddit_response(query):
    search_query = f"{query} site:reddit.com"
    
    try:
        results = search(search_query, num_results=5)
        for url in results:
            try:
                response = requests.get(url, timeout=5, headers={"User-Agent": "Mozilla/5.0"})
                soup = BeautifulSoup(response.text, "html.parser")

                # Avoid cookie banners
                if any(word in soup.text.lower() for word in ["accept cookies", "sign-up", "free trial", "subscribe", "log in"]):
                    continue  

                # Extract relevant text (from comments)
                comments = soup.find_all("p")
                for comment in comments:
                    text = clean_text(comment.get_text())
                    if len(text.split()) > 10:  # Avoid short/unrelated results
                        return f"Here's a Reddit response from {url}:\n\n{text}"
            except Exception:
                continue

    except Exception:
        return "I couldn't find any relevant Reddit posts."

    return "I searched Reddit but didn't find a perfect answer. Try rephrasing!"

# Function to generate responses
def generate_response(user_input):
    if re.search(r"\b(hi|hello|hey)\b", user_input, re.IGNORECASE):
        return random.choice(["Hey there!", "Hello! How can I assist you today?", "Hi! Need help with something?"])
    elif re.search(r"\b(how are you)\b", user_input, re.IGNORECASE):
        return "I'm just a chatbot, but I'm here to help! How about you?"
    elif re.search(r"\b(who are you|what is your name)\b", user_input, re.IGNORECASE):
        return "I'm Google AI, your chatbot assistant!"
    elif re.search(r"\b(exit|quit|bye)\b", user_input, re.IGNORECASE):
        root.destroy()
        return "Goodbye! Have a great day!"
    
    # Check for coding-related questions
    if re.search(r"\b(code|example|script|program|how to)\b", user_input, re.IGNORECASE):
        return fetch_code_snippet(user_input)
    
    # Check if the user specifically wants Reddit results
    if "reddit" in user_input.lower():
        return fetch_reddit_response(user_input)

    # Otherwise, fetch general Google results
    return fetch_google_response(user_input)

# Function to fetch general answers from Google
def fetch_google_response(query):
    try:
        results = search(query, num_results=5)
        for url in results:
            try:
                response = requests.get(url, timeout=5)
                soup = BeautifulSoup(response.text, "html.parser")

                # Avoid cookie banners
                if any(word in soup.text.lower() for word in ["accept cookies", "subscribe", "sign-up", "cookies"]):
                    continue  

                # Extract useful content
                paragraphs = soup.find_all("p")
                for p in paragraphs:
                    text = clean_text(p.get_text())
                    if len(text.split()) > 10 and "subscribe" not in text.lower():
                        return text
            except Exception:
                continue

    except Exception:
        return "I couldn't find an exact answer, but I can help figure it out!"

    return "I searched but didn't find a perfect match. Try rephrasing!"

# Function to send messages
def send_message(event=None):
    user_text = user_input.get().strip()
    if user_text == "":
        return

    chat_window.config(state=tk.NORMAL)
    chat_window.insert(tk.END, f"You: {user_text}\n", "user")
    chat_window.insert(tk.END, "Google AI is thinking...\n", "thinking")
    chat_window.see(tk.END)
    root.update()

    response = generate_response(user_text)
    chat_window.delete("thinking.first", "thinking.last")
    chat_window.insert(tk.END, f"Google AI: {response}\n\n", "bot")

    chat_window.config(state=tk.DISABLED)
    user_input.delete(0, tk.END)

# Create GUI window
root = tk.Tk()
root.title("Google AI Chatbot")
root.geometry("500x600")
root.configure(bg="#2C3E50")

# Chat display
chat_window = scrolledtext.ScrolledText(root, height=20, width=60, bg="#34495E", fg="white", font=("Helvetica", 12), wrap=tk.WORD, bd=0, relief=tk.FLAT)
chat_window.tag_config("user", foreground="cyan")
chat_window.tag_config("bot", foreground="lightgreen")
chat_window.tag_config("thinking", foreground="yellow")
chat_window.config(state=tk.DISABLED)
chat_window.pack(padx=20, pady=20, fill=tk.BOTH, expand=True)

# User input field
input_frame = tk.Frame(root, bg="#34495E")
input_frame.pack(fill=tk.X, padx=20, pady=5)

user_input = tk.Entry(input_frame, width=50, font=("Helvetica", 12), bg="#ECF0F1", fg="#2C3E50", bd=0, relief=tk.FLAT)
user_input.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=10, pady=5)

# Send button
send_button = tk.Button(input_frame, text="Send", command=send_message, bg="#2980B9", fg="white", font=("Helvetica", 12, "bold"), relief=tk.FLAT)
send_button.pack(side=tk.RIGHT, padx=10, pady=5)

# Bind Enter key to send message
root.bind("<Return>", send_message)

# Focus on input field on startup
user_input.focus()

root.mainloop()

	import os
	import sys

	# Uninstall googlesearch library if already installed
	os.system(f"{sys.executable} -m pip uninstall -y googlesearch-python")

	# Function to install a module if missing
	def install_and_import(module_name, package_name=None):
	package_name = package_name if package_name else module_name
	try:
	__import__(module_name)
	except ImportError:
	os.system(f"{sys.executable} -m pip install --upgrade {package_name}")
	__import__(module_name)

	# Install and import required libraries individually
	install_and_import("tkinter", "tk")
	install_and_import("googlesearch", "googlesearch-python")
	install_and_import("requests")
	install_and_import("bs4", "beautifulsoup4")

	# Now import installed modules
	import random
	import re
	import tkinter as tk
	from tkinter import scrolledtext
	from googlesearch import search
	import requests
	from bs4 import BeautifulSoup

	# Function to fetch code snippets
	def fetch_code_snippet(query):
	search_query = f"{query} site:stackoverflow.com OR site:github.com OR site:geeksforgeeks.org OR site:w3schools.com"

	try:
	results = search(search_query, num_results=5)
	for url in results:
	try:
	response = requests.get(url, timeout=5)
	soup = BeautifulSoup(response.text, "html.parser")

	# Skip cookie banners
	if any(word in soup.text.lower() for word in ["accept cookies", "cookies", "subscribe", "sign-up", "free trial", "cookies"]):
	continue

	# Extract code snippets
	code_blocks = soup.find_all("code")
	for code in code_blocks:
	code_text = clean_text(code.get_text())
	if len(code_text.split()) > 5:
	return f"Here's a possible solution from {url}:\n\n```{code_text}```"
	except Exception:
	continue

	except Exception:
	return "I couldn't find an exact code snippet, but I can help guide you!"

	return "I searched but didn't find an exact match. Try rephrasing!"

	# Function to clean up scraped text
	def clean_text(text):
	text = re.sub(r"\s+", " ", text) # Remove extra spaces
	text = re.sub(r"\[.*?\]", "", text) # Remove citation references like [1], [2]
	return text.strip()

	# Function to fetch Reddit answers while avoiding login-required pages
	def fetch_reddit_response(query):
	search_query = f"{query} site:reddit.com"

	try:
	results = search(search_query, num_results=5)
	for url in results:
	try:
	response = requests.get(url, timeout=5, headers={"User-Agent": "Mozilla/5.0"})
	soup = BeautifulSoup(response.text, "html.parser")

	# Avoid cookie banners
	if any(word in soup.text.lower() for word in ["accept cookies", "sign-up", "free trial", "subscribe", "log in"]):
	continue

	# Extract relevant text (from comments)
	comments = soup.find_all("p")
	for comment in comments:
	text = clean_text(comment.get_text())
	if len(text.split()) > 10: # Avoid short/unrelated results
	return f"Here's a Reddit response from {url}:\n\n{text}"
	except Exception:
	continue

	except Exception:
	return "I couldn't find any relevant Reddit posts."

	return "I searched Reddit but didn't find a perfect answer. Try rephrasing!"

	# Function to generate responses
	def generate_response(user_input):
	if re.search(r"\b(hi\|hello\|hey)\b", user_input, re.IGNORECASE):
	return random.choice(["Hey there!", "Hello! How can I assist you today?", "Hi! Need help with something?"])
	elif re.search(r"\b(how are you)\b", user_input, re.IGNORECASE):
	return "I'm just a chatbot, but I'm here to help! How about you?"
	elif re.search(r"\b(who are you\|what is your name)\b", user_input, re.IGNORECASE):
	return "I'm Google AI, your chatbot assistant!"
	elif re.search(r"\b(exit\|quit\|bye)\b", user_input, re.IGNORECASE):
	root.destroy()
	return "Goodbye! Have a great day!"

	# Check for coding-related questions
	if re.search(r"\b(code\|example\|script\|program\|how to)\b", user_input, re.IGNORECASE):
	return fetch_code_snippet(user_input)

	# Check if the user specifically wants Reddit results
	if "reddit" in user_input.lower():
	return fetch_reddit_response(user_input)

	# Otherwise, fetch general Google results
	return fetch_google_response(user_input)

	# Function to fetch general answers from Google
	def fetch_google_response(query):
	try:
	results = search(query, num_results=5)
	for url in results:
	try:
	response = requests.get(url, timeout=5)
	soup = BeautifulSoup(response.text, "html.parser")

	# Avoid cookie banners
	if any(word in soup.text.lower() for word in ["accept cookies", "subscribe", "sign-up", "cookies"]):
	continue

	# Extract useful content
	paragraphs = soup.find_all("p")
	for p in paragraphs:
	text = clean_text(p.get_text())
	if len(text.split()) > 10 and "subscribe" not in text.lower():
	return text
	except Exception:
	continue

	except Exception:
	return "I couldn't find an exact answer, but I can help figure it out!"

	return "I searched but didn't find a perfect match. Try rephrasing!"

	# Function to send messages
	def send_message(event=None):
	user_text = user_input.get().strip()
	if user_text == "":
	return

	chat_window.config(state=tk.NORMAL)
	chat_window.insert(tk.END, f"You: {user_text}\n", "user")
	chat_window.insert(tk.END, "Google AI is thinking...\n", "thinking")
	chat_window.see(tk.END)
	root.update()

	response = generate_response(user_text)
	chat_window.delete("thinking.first", "thinking.last")
	chat_window.insert(tk.END, f"Google AI: {response}\n\n", "bot")

	chat_window.config(state=tk.DISABLED)
	user_input.delete(0, tk.END)

	# Create GUI window
	root = tk.Tk()
	root.title("Google AI Chatbot")
	root.geometry("500x600")
	root.configure(bg="#2C3E50")

	# Chat display
	chat_window = scrolledtext.ScrolledText(root, height=20, width=60, bg="#34495E", fg="white", font=("Helvetica", 12), wrap=tk.WORD, bd=0, relief=tk.FLAT)
	chat_window.tag_config("user", foreground="cyan")
	chat_window.tag_config("bot", foreground="lightgreen")
	chat_window.tag_config("thinking", foreground="yellow")
	chat_window.config(state=tk.DISABLED)
	chat_window.pack(padx=20, pady=20, fill=tk.BOTH, expand=True)

	# User input field
	input_frame = tk.Frame(root, bg="#34495E")
	input_frame.pack(fill=tk.X, padx=20, pady=5)

	user_input = tk.Entry(input_frame, width=50, font=("Helvetica", 12), bg="#ECF0F1", fg="#2C3E50", bd=0, relief=tk.FLAT)
	user_input.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=10, pady=5)

	# Send button
	send_button = tk.Button(input_frame, text="Send", command=send_message, bg="#2980B9", fg="white", font=("Helvetica", 12, "bold"), relief=tk.FLAT)
	send_button.pack(side=tk.RIGHT, padx=10, pady=5)

	# Bind Enter key to send message
	root.bind("<Return>", send_message)

	# Focus on input field on startup
	user_input.focus()

	root.mainloop()