|
import gradio as gr |
|
import wikipedia |
|
import requests |
|
from bs4 import BeautifulSoup |
|
import pyjokes |
|
|
|
|
|
|
|
|
|
def joke(): |
|
|
|
|
|
My_joke = pyjokes.get_joke(language="en", category="neutral") |
|
|
|
return My_joke |
|
|
|
|
|
def wiki(name): |
|
text = name |
|
text = text.split("the")[-1] |
|
text = text.split("is a")[-1] |
|
text = text.split("by")[-1] |
|
|
|
|
|
out = "try this key words :\n"+str(wikipedia.search(text, results=10))+"\n\n" |
|
for i in wikipedia.search(text, results=3): |
|
try: |
|
result = wikipedia.summary(i) |
|
if " " in result.lower(): |
|
|
|
|
|
out = out + result+"\n" |
|
except: |
|
continue |
|
return out |
|
|
|
def google(name): |
|
result = {"",""} |
|
text ="" |
|
if "how to learn" in name or "steps for learning" in name or "step for learning" in name or "steps for" in name or "step for" in name: |
|
text = result = aitext(word)+"\n\n" |
|
|
|
url = "https://www.google.com/search?q="+name |
|
r = requests.get(url) |
|
|
|
soup = BeautifulSoup(r.text,"html.parser") |
|
|
|
heading_object=soup.find_all('div') |
|
|
|
for info in heading_object: |
|
|
|
|
|
if '<div class="BNeawe s3v9rd AP7Wnd"><div><div><div class="BNeawe s3v9rd AP7Wnd">' in str(info): |
|
if '›' not in str(info.text) : |
|
result.add(info.text) |
|
n=0 |
|
for i in result: |
|
if n!=0: |
|
i = i.split("·",1) |
|
try: |
|
i = i[1] |
|
except: |
|
i = i[0] |
|
i=i.split("Duration") |
|
|
|
i = i[0] |
|
text = text +str(n)+"\t"+i+"\n\n" |
|
n=n+1 |
|
return text |
|
|
|
def greet(name1): |
|
name = name1.lower() |
|
|
|
if "who are you" in name or "what is you" in name or "your name" in name or"who r u" in name: |
|
|
|
return "Im Ai Based Chatbot Created by ssebowa.org" |
|
|
|
|
|
if "tell me a joke" in name or "the joke" in name: |
|
return joke() |
|
|
|
if "love you" in name or "i love" in name: |
|
return "me too" |
|
if "marry me" in name or "marry" in name: |
|
return "im not intrested" |
|
if "your age" in name or "what is your age" in name: |
|
return "Im not a human so i don't have age" |
|
if "thank u" in name or "thanks" in name or "thank you" in name: |
|
return "ok welcome ....!" |
|
return google(name) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
iface = gr.Interface(fn=greet, inputs="text", outputs="text") |
|
iface.launch() |
|
|
|
|
|
import openai |
|
openai.api_key = "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" |
|
def aitext(word): |
|
response = openai.Completion.create( |
|
model="text-davinci-003", |
|
prompt=word, |
|
temperature=0.9, |
|
max_tokens=200, |
|
top_p=1, |
|
frequency_penalty=0, |
|
presence_penalty=0.6, |
|
stop=[" Human:", " AI:"] |
|
) |
|
|
|
return response.choices[0].text |
