Create app.py

app.py

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+import gradio as gr
+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
+
+# Gradio interface for user inputs and displaying outputs
+inputs = gr.Textbox(lines=5, label="Enter your emotions, expressions, best and worst moments of the day:")
+outputs_text = gr.Textbox(label="Summarization of Inputs")
+outputs_image = gr.Image(type="pil", label="Generated Image")
+
+# Create Gradio app
+gr.Interface(
+    [inputs],
+    [outputs_text, outputs_image],
+    title="Morpheus - Dreams Generator",
+    description="Enter your feelings and moments of the day to generate a summarization along with an AI-generated image!",
+    examples=[["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."]],
+    flagging_options=[],
+    analytics_enabled=False,
+    theme="soft"
+    ).launch()