Create app.py

app.py

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+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)