pryce / chatgpt_clone_&_text_to_image_generator.py
mrprycep069's picture
chatGPTclone
81df80c
# -*- 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()