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## Import Libraries, and read the key-token
import openai
import os
import requests
import streamlit as st
## Load the Key token
# key_token = os.getenv('OpenAI_KEY_TOKEN')
openai.api_key = os.getenv("OPENAI_KEY")
## paramas
def fit_text(text:str):
## prompts
system_prompt = 'You are a smart input form for Dall-E model'
user_prompt = f'''It receives the text from the user {text}, translates it into English,
and reorganizes the text to make the Dall-E model understand it and use it easily to create a good image.
'''
## messages
messages = [
{'role': 'system', 'content': system_prompt},
{'role': 'user', 'content': user_prompt}
]
## Using ChatGPT for ChatCompletion
response = openai.ChatCompletion.create(
model='gpt-3.5-turbo',
messages=messages,
temperature=0.7,
max_tokens=1000,
)
response = response['choices'][0]['message']['content']
return response
def generate_image(description:str):
response = openai.Image.create(
prompt=description, ## The description for the image
n=1,
size='1024x1024'
)
image_url = response['data'][0]['url']
return image_url
st.set_page_config(page_title="Image Generation")
st.header("Image Generation Application 🤖💬")
inputs = st.text_input("Enter a description of the image you want to create : ", key="input")
if st.button("Generate Image"):
if len(inputs) > 3:
user_description = fit_text(inputs)
image_url = generate_image(user_description)
st.image(image_url, caption="Generated Image", use_column_width=True)
st.download_button(
label="Download image as *.png",
data=image_url,
file_name='image.png',
mime='image',
)
else:
st.warning("Please provide a description with more than 3 characters.")
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