app.py

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

# Get the API token from environment variable
API_TOKEN = os.environ.get("HF_API_TOKEN")

# Function to interact with Hugging Face API for text summarization
def generate_text_summary(inputs):
    API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
    headers = {"Authorization": f"Bearer {API_TOKEN}"}
    
    response = requests.post(API_URL, headers=headers, json={"inputs": inputs})
    return response.json()

# Function to interact with Hugging Face API for image generation
def generate_image(prompt):
    API_URL = "https://api-inference.huggingface.co/models/Kvikontent/midjourney-v6"
    headers = {"Authorization": f"Bearer {API_TOKEN}"}
    
    image_response = requests.post(API_URL, headers=headers, json={"inputs": prompt})
    image_bytes = image_response.content
    image = Image.open(io.BytesIO(image_bytes))
    
    return image

# Streamlit interface for user inputs and displaying outputs
st.title("Morpheus - Dreams Generator")
st.write("Enter your feelings and moments of the day to generate a summarization along with an AI-generated image!")

inputs = st.text_area("Enter your emotions, expressions, best and worst moments of the day:", height=200, value="Today was a mix of emotions. I felt happy in the morning but sad in the evening. The best moment was meeting a friend, and the worst was a stressful meeting.")

if st.button("Generate Summary and Image"):
    summary = generate_text_summary(inputs)
    st.write("Summary:", summary)
    
    with st.spinner("Generating Image..."):
        image = generate_image(inputs)
        st.image(image, caption="Generated Image", use_column_width=True)