Create app.py

app.py

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+import streamlit as st 
+from dotenv import load_dotenv
+import os 
+import openai
+from diffusers import StableDiffusionPipeline
+import torch
+
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+#function to generate AI based images using OpenAI Dall-E
+def generate_images_using_openai(text):
+    response = openai.Image.create(prompt= text, n=1, size="512x512")
+    image_url = response['data'][0]['url']
+    return image_url
+
+
+#function to generate AI based images using Huggingface Diffusers
+def generate_images_using_huggingface_diffusers(text):
+    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
+    pipe = pipe.to("cuda")
+    prompt = text
+    image = pipe(prompt).images[0] 
+    return image
+
+#Streamlit Code
+choice = st.sidebar.selectbox("Select your choice", ["Home", "DALL-E", "Huggingface Diffusers"])
+
+if choice == "Home":
+    st.title("AI Image Generation App")
+    with st.expander("About the App"):
+        st.write("This is a simple image generation app that uses AI to generates images from text prompt.")
+
+elif choice == "DALL-E":
+    st.subheader("Image generation using Open AI's DALL-E")
+    input_prompt = st.text_input("Enter your text prompt")
+    if input_prompt is not None:
+        if st.button("Generate Image"):
+            image_url = generate_images_using_openai(input_prompt)
+            st.image(image_url, caption="Generated by DALL-E")
+
+elif choice == "Huggingface Diffusers":
+    st.subheader("Image generation using Huggingface Diffusers")
+    input_prompt = st.text_input("Enter your text prompt")
+    if input_prompt is not None:
+        if st.button("Generate Image"):
+            image_output = generate_images_using_huggingface_diffusers(input_prompt)
+            st.info("Generating image.....")
+            st.success("Image Generated Successfully")
+            st.image(image_output, caption="Generated by Huggingface Diffusers")