Update app.py

app.py

@@ -146,64 +146,134 @@ 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")
+st.set_page_config(page_title="MTSS Image Accessibility Alt Text Generator", layout="centered", initial_sidebar_state="expanded")
 
-# Add the image with a specified width
-st.image('MTSS.ai_Logo.png', width=300)  # Adjusted for consistency
+#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"])
+
 # Move the file uploader to the sidebar
 uploaded_file = st.sidebar.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
 
-# Initialize placeholders for additional details and complex image details
-additional_details = ""
-complex_image_details = ""
+if uploaded_file:
+    # Display the uploaded image with specified width
+    image_width = 100  # 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)
 
-# Define toggles and input areas for additional details in the main area, not the sidebar
-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:"
+        "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
     )
 
-complex_image = st.toggle("Is this a complex image?", value=False)
+# 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 clicking this toggle, it will inform MTSS.ai to create a description that exceeds the 125 character limit. "
+        "Add the description in a placeholder behind the image and 'Description in the content placeholder' in the alt text box. "
+    )
 
 # Button to trigger the analysis
-analyze_button = st.button("Analyze the Image")
+analyze_button = st.button("Analyze the Image", type="secondary")
 
-# Always visible response area initialized with a placeholder message
-response_placeholder = st.empty()
+# 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."
+)
 
-# Display the uploaded image in an expander if an image is uploaded
-if uploaded_file:
-    with st.expander("Uploaded Image Preview"):
-        st.image(uploaded_file, caption="Uploaded Image", width=300)  # Display uploaded image with adjusted width
+# 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:
 
-# Ensure that analysis only proceeds when an image is uploaded and the analyze button is pressed
-if uploaded_file and analyze_button:
-    with st.spinner("Analyzing the image..."):
-        # Encode the image for analysis
+    with st.spinner("Analyzing the image ..."):
+        # Encode the image
         base64_image = encode_image(uploaded_file)
 
-        # Here you would include your logic to determine the prompt based on the complexity of the image
-        # and to generate the full_response using the OpenAI API
-        
-        # For demonstration, let's simulate a response
-        full_response = "This is where the analyzed text will be displayed."
-
-        # Update the response text area with the new full_response
-        response_placeholder.text_area('Response:', value=full_response, height=250, key="response_text_area")
+        # 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}"
+            )
 
-        st.success('Analysis complete. Review the generated text for accuracy.')
+    
+        # 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 client.chat.completions.create(
+                model="gpt-4-vision-preview", messages=messages, 
+                max_tokens=1200, 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)
+
+            # # Display the response in a text area
+            # st.text_area('Response:', value=full_response, height=250, 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:
-    # If no image is uploaded, show a waiting message or keep it empty
-    response_placeholder.text_area('Response:', value="Upload an image to analyze.", height=250, key="response_text_area")
-    if analyze_button:
-        st.warning("Please upload an image first.")
+    # Warnings for user action required
+    if not uploaded_file and analyze_button:
+        st.warning("Please upload an image.")
+
+
+