chatgpt_clone_&_text_to_image_generator.py

# -*- coding: utf-8 -*-
"""ChatGPT Clone & Text to Image Generator.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1OoArwT6lYDyxjBUGRznDfFv1xQF8szJV
"""

!pip install gradio

import gradio as gr

def greet(name):
    return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch()





!pip install -Uqq ipdb

import ipdb

# Commented out IPython magic to ensure Python compatibility.
# %pdb on

import gradio as gr

def greet(name):
    return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch()

import gradio as gr

def greet(name):
    return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch()

import gradio as gr

def greet(name):
    return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch(share=True)

!pip install openai

# Commented out IPython magic to ensure Python compatibility.
import openai
import gradio
import ipdb

# %pdb on
openai.api_key = "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"

menulist = [{"role": "system", "content": "You are ChatGPT Clone AI Robot"}]

def ChatGPTclone(input):
    menulist.append({"role": "user", "content": input})
    response = openai.ChatCompletion.create(
       model = "gpt-3.5-turbo",
       messages = menulist
    )
    reply = response['choices'][0]['message']['content']
    menulist.append({"role": "user", "content": reply})
    return reply


def application():
  app = gradio.Interface(fn=ChatGPTclone, inputs="text", outputs="text", title="ChatGPT Clone")
  return app.launch(share=True)

application()