Update app.py

app.py

@@ -1,62 +1,3 @@
-# import streamlit as st
-# import base64
-# import openai 
-
-# # Function to encode the image to base64
-# def encode_image(image_file):
-#     return base64.b64encode(image_file.getvalue()).decode("utf-8")
-
-# # Streamlit page setup
-# st.set_page_config(page_title="MTSS Image Accessibility Alt Text Generator", layout="centered", initial_sidebar_state="collapsed")
-
-# #Add the image with a specified width
-# image_width = 300  # Set the desired width in pixels
-# st.image('MTSS.ai_Logo.png', width=image_width)
-
-# st.title('VisionText™ | Accessibility')
-# st.subheader(':green[_Image Alt Text Generator_]')
-
-# # Retrieve the OpenAI API Key from secrets
-# openai.api_key = st.secrets["openai_api_key"]
-
-# # File uploader allows user to add their own image
-# uploaded_file = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
-
-# if uploaded_file:
-#     # Display the uploaded image with specified width
-#     image_width = 150  # Set the desired width in pixels
-#     with st.expander("Image", expanded=True):
-#         st.image(uploaded_file, caption=uploaded_file.name, width=image_width, use_column_width=False)
-
-# # Toggle for showing additional details input
-# show_details = st.toggle("Optional: Add details about the image. " 
-#                          "The details could include specific information that is important to include in the alt text or reflect why the image is being used.", value=False)
-
-# if show_details:
-#     # Text input for additional details about the image, shown only if toggle is True
-#     additional_details = st.text_area(
-#         "Add any additional details or context about the image here:",
-#         disabled=not show_details
-#     )
-
-# # Button to trigger the analysis
-# analyze_button = st.button("Analyze the Image", type="secondary")
-
-# # Check if an image has been uploaded, if the API key is available, and if the button has been pressed
-# if uploaded_file is not None and analyze_button:
-
-#     with st.spinner("Analyzing the image ..."):
-#         # Encode the image
-#         base64_image = encode_image(uploaded_file)
-    
-#         # Optimized prompt for additional clarity and detail
-#         prompt_text = (
-#             "As an expert in image accessibility and alternative text, succinctly describe the image provided in less than 125 characters. "
-#             "Provide a brief description that conveys the essential information conveyed by the image in three or fewer clear and concise sentences for use as alt text."
-#             "Skip phrases like 'image of' or 'picture of.'"
-#             "Your description should form a clear, well-structured, and factual paragraph that avoids bullet points, focusing on creating a seamless narrative that serves as effective alternative text for accessibility purposes."
-#         )
-    
 import streamlit as st
 import base64
 import openai 
@@ -88,7 +29,7 @@ if uploaded_file:
         st.image(uploaded_file, caption=uploaded_file.name, width=image_width, use_column_width=False)
 
 # Toggle for showing additional details input
-show_details = st.toggle("Optional: Add details about the image. ", value=False)
+show_details = st.toggle("Add details about the image. ", value=False)
 
 # Toggle for modifying the prompt for complex images
 complex_image = st.toggle("Is this a complex image? ", value=False)