app.py

import streamlit as st
import os
import requests
import io
from PIL import Image
from freeGPT import Client

generative, chat = st.tabs(["Image Generation", "Chat"])
hf_token = os.environ.get("API_TOKEN")
headers = {"Authorization": f"Bearer {hf_token}"}
API_URL_FACE = "https://api-inference.huggingface.co/models/prompthero/linkedin-diffusion"
API_URL_PIX = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
API_URL_3D = "https://api-inference.huggingface.co/models/goofyai/3d_render_style_xl"
API_URL_REAL = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-v51"
API_URL_DALLE = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
API_URL_INKPUNK = "https://api-inference.huggingface.co/models/Envvi/Inkpunk-Diffusion"
API_URL_DREAM = "https://api-inference.huggingface.co/models/Lykon/dreamshaper-xl-v2-turbo"
API_URL_COVER = "https://api-inference.huggingface.co/models/Norod78/sxl-laisha-magazine-cover-lora"

with generative:
    st.title("✨ Open Text2Image Models Leaderboard")
    st.write("Choose one model to generate image and enter prompt")
    model = st.selectbox(
        'Model',
        ('Dall-e 3', 'Pixel', '3D Render', 'Realistic', 'Inkpunk', 'Dremscape', 'Magazine-cover', 'Faces')
    )
    prompt = st.text_area('Enter prompt')
    button = st.button('Generate')
    
    if model == 'Dall-e 3':
        API_URL = API_URL_DALLE
    elif model == 'Pixel':
        API_URL = API_URL_PIX
    elif model == '3D Render':
        API_URL = API_URL_3D
    elif model == 'Realistic':
        API_URL = API_URL_REAL
    elif model == 'Inkpunk':
        API_URL = API_URL_INKPUNK
    elif model == 'Dremscape':
        API_URL = API_URL_DREAM
    elif model == 'Magazine-cover':
        API_URL = API_URL_COVER
    elif model == 'Faces':
        API_URL = API_URL_FACE
    
    
    def query(payload):
      response = requests.post(API_URL, headers=headers, json=payload)
      return response.content
        
    def generate_image(input_text):
        image_bytes = query({
            "inputs": input_text,
        })
        image = Image.open(io.BytesIO(image_bytes))
        return image
    
    if button:
        generated_image = generate_image(prompt)
        st.image(generated_image, caption='Generated Image')

with chat:
    st.title("AI Chat")
    messages = st.container(height=600)
    prompt_gpt = st.chat_input("Ask something")
    if prompt_gpt:
        user_msg = messages.chat_message("user").write(prompt_gpt)
        try:
            resp = Client.create_completion("gpt3", prompt_gpt)
            message_out = messages.chat_message("assistant").write(resp)
        except Exception as e:
            message_out = messages.chat_message("assistant").write(e)