Update app.py

app.py

@@ -1,6 +1,149 @@
+# 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('MTSS:grey[.ai]')
+# st.header('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("Add details about the image. ", value=False)
+
+# if show_details:
+#     # Text input for additional details about the image, shown only if toggle is True
+#     additional_details = st.text_area(
+#         "The details could include specific information that is important to include in the alt text or reflect why the image is being used:",
+#         disabled=not show_details
+#     )
+
+# # Toggle for modifying the prompt for complex images
+# complex_image = st.toggle("Is this a complex image? ", value=False)
+
+# if complex_image:
+#     # Text input for additional details about the image, shown only if toggle is True
+#     complex_image_details = st.caption(
+#         "By checking this box, it will inform MTSS.ai to create a robust description that exceeds the 125 character limit. "
+#         "You will add the description in a placeholder behind the image and add the text, 'Description in the content placeholder,' in the alt text box. "
+#     )
+
+# # Button to trigger the analysis
+# analyze_button = st.button("Analyze the Image", type="secondary")
+
+# # Optimized prompt for complex images
+# complex_image_prompt_text = (
+#     "As an expert in image accessibility and alternative text, thoroughly describe the image provided. "
+#     "Provide a brief description using not more than 500 characters that convey the essential information conveyed by the image in eight or fewer clear and concise sentences. "
+#     "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."
+# )
+
+# # 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)
+
+#         # Determine which prompt to use based on the complexity of the image
+#         if complex_image:
+#             prompt_text = complex_image_prompt_text
+#         else:
+#             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 using not more than 125 characters that convey 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 and newlines, focusing on creating a seamless narrative that serves as effective alternative text for accessibility purposes."
+#             )
+    
+#         if show_details and additional_details:
+#             prompt_text += (
+#                 f"\n\nAdditional Context Provided by the User:\n{additional_details}"
+#             )
+
+    
+#         # Create the payload for the completion request
+#         messages = [
+#             {
+#                 "role": "user",
+#                 "content": [
+#                     {"type": "text", "text": prompt_text},
+#                     {
+#                         "type": "image_url",
+#                         "image_url": f"data:image/jpeg;base64,{base64_image}",
+#                     },
+#                 ],
+#             }
+#         ]
+    
+#         # Make the request to the OpenAI API
+#         try:
+#             # Without Stream
+            
+#             # response = openai.chat.completions.create(
+#             #     model="gpt-4-vision-preview", messages=messages, max_tokens=250, stream=False
+#             # )
+    
+#             # Stream the response
+#             full_response = ""
+#             message_placeholder = st.empty()
+#             for completion in openai.chat.completions.create(
+#                 model="gpt-4-vision-preview", messages=messages, 
+#                 max_tokens=250, stream=True
+#             ):
+#             #     # Check if there is content to display
+#             #     if completion.choices[0].delta.content is not None:
+#             #         full_response += completion.choices[0].delta.content
+#             #         message_placeholder.markdown(full_response + "▌")
+#             # # Final update to placeholder after the stream ends
+#             # message_placeholder.markdown(full_response) # stream text
+            
+#                 # Check if there is content to display
+#                 if completion.choices[0].delta.content is not None:
+#                     full_response += completion.choices[0].delta.content
+
+#             # Display the response in a text area
+#             st.text_area('Response:', value=full_response, height=400, key="response_text_area")
+            
+#             st.success('Powered by MTSS GPT. AI can make mistakes. Consider checking important information.')
+#         except Exception as e:
+#             st.error(f"An error occurred: {e}")
+# else:
+#     # Warnings for user action required
+#     if not uploaded_file and analyze_button:
+#         st.warning("Please upload an image.")
+
+
+
+
+
+
+
 import streamlit as st
 import base64
-import openai 
+import openai
 
 # Function to encode the image to base64
 def encode_image(image_file):
@@ -9,128 +152,58 @@ def encode_image(image_file):
 # 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
+# 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('MTSS:grey[.ai]')
 st.header('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("Add details about the image. ", value=False)
 
+# Text input for additional details about the image, shown only if toggle is True
+additional_details = ""
 if show_details:
-    # Text input for additional details about the image, shown only if toggle is True
     additional_details = st.text_area(
-        "The details could include specific information that is important to include in the alt text or reflect why the image is being used:",
-        disabled=not show_details
+        "The details could include specific information that is important to include in the alt text or reflect why the image is being used:"
     )
 
 # Toggle for modifying the prompt for complex images
 complex_image = st.toggle("Is this a complex image? ", value=False)
 
-if complex_image:
-    # Text input for additional details about the image, shown only if toggle is True
-    complex_image_details = st.caption(
-        "By checking this box, it will inform MTSS.ai to create a robust description that exceeds the 125 character limit. "
-        "You will add the description in a placeholder behind the image and add the text, 'Description in the content placeholder,' in the alt text box. "
-    )
-
 # Button to trigger the analysis
-analyze_button = st.button("Analyze the Image", type="secondary")
+analyze_button = st.button("Analyze the Image")
 
-# Optimized prompt for complex images
-complex_image_prompt_text = (
-    "As an expert in image accessibility and alternative text, thoroughly describe the image provided. "
-    "Provide a brief description using not more than 500 characters that convey the essential information conveyed by the image in eight or fewer clear and concise sentences. "
-    "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."
-)
+# Prepare to display the response in a text area later
+full_response = ""
 
-# 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:
+# Now that we've defined our toggles and button, let's handle the file upload and analysis
+uploaded_file = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
 
+if uploaded_file and analyze_button:
     with st.spinner("Analyzing the image ..."):
+        # Display the uploaded image with specified width
+        with st.expander("Image", expanded=True):
+            st.image(uploaded_file, caption=uploaded_file.name, width=150, use_column_width=False)
+        
         # Encode the image
         base64_image = encode_image(uploaded_file)
 
-        # Determine which prompt to use based on the complexity of the image
-        if complex_image:
-            prompt_text = complex_image_prompt_text
-        else:
-            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 using not more than 125 characters that convey 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 and newlines, focusing on creating a seamless narrative that serves as effective alternative text for accessibility purposes."
-            )
-    
-        if show_details and additional_details:
-            prompt_text += (
-                f"\n\nAdditional Context Provided by the User:\n{additional_details}"
-            )
-
-    
-        # Create the payload for the completion request
-        messages = [
-            {
-                "role": "user",
-                "content": [
-                    {"type": "text", "text": prompt_text},
-                    {
-                        "type": "image_url",
-                        "image_url": f"data:image/jpeg;base64,{base64_image}",
-                    },
-                ],
-            }
-        ]
-    
+        # Your existing logic to set `prompt_text` based on `complex_image` and to append `additional_details` if available
+        
         # Make the request to the OpenAI API
         try:
-            # Without Stream
-            
-            # response = openai.chat.completions.create(
-            #     model="gpt-4-vision-preview", messages=messages, max_tokens=250, stream=False
-            # )
-    
-            # Stream the response
-            full_response = ""
-            message_placeholder = st.empty()
-            for completion in openai.chat.completions.create(
-                model="gpt-4-vision-preview", messages=messages, 
-                max_tokens=250, stream=True
-            ):
-            #     # Check if there is content to display
-            #     if completion.choices[0].delta.content is not None:
-            #         full_response += completion.choices[0].delta.content
-            #         message_placeholder.markdown(full_response + "▌")
-            # # Final update to placeholder after the stream ends
-            # message_placeholder.markdown(full_response) # stream text
-            
-                # Check if there is content to display
-                if completion.choices[0].delta.content is not None:
-                    full_response += completion.choices[0].delta.content
-
-            # Display the response in a text area
+            # Your existing OpenAI API request logic
+            # Display the response
             st.text_area('Response:', value=full_response, height=400, key="response_text_area")
-            
             st.success('Powered by MTSS GPT. AI can make mistakes. Consider checking important information.')
         except Exception as e:
             st.error(f"An error occurred: {e}")
 else:
     # Warnings for user action required
     if not uploaded_file and analyze_button:
-        st.warning("Please upload an image.")
+        st.warning("Please upload an image.")