Update app.py

app.py

@@ -38,11 +38,80 @@ if show_details:
     )
 
 # Button to trigger the analysis
-analyze_button = st.button("Analyse the Image", type="secondary")
+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 = (
+#             "You are a highly knowledgeable accessibility expert. "
+#             "Your task is to examine the following image in detail. "
+#             "Provide a comprehensive, factual, and accurate explanation of what the image depicts. "
+#             "Highlight key elements and their significance, and present your analysis in clear, well-structured paragraph format. "
+#             "Create a detailed image caption in explaining in 150 words or less."
+#         )
+    
+#         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=500, 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=150, 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 the app
+#             # st.write(response.choices[0].message.content)
+#         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.")
+
+
+
+
 
 # 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)
@@ -53,13 +122,11 @@ if uploaded_file is not None and analyze_button:
             "Your task is to examine the following image in detail. "
             "Provide a comprehensive, factual, and accurate explanation of what the image depicts. "
             "Highlight key elements and their significance, and present your analysis in clear, well-structured paragraph format. "
-            "Create a detailed image caption in explaining in 150 words or less."
+            "Create a detailed image caption explaining in 150 words or less."
         )
     
         if show_details and additional_details:
-            prompt_text += (
-                f"\n\nAdditional Context Provided by the User:\n{additional_details}"
-            )
+            prompt_text += f"\n\nAdditional Context Provided by the User:\n{additional_details}"
     
         # Create the payload for the completion request
         messages = [
@@ -77,31 +144,23 @@ if uploaded_file is not None and analyze_button:
     
         # Make the request to the OpenAI API
         try:
-            # Without Stream
-            
-            # response = openai.chat.completions.create(
-            #     model="gpt-4-vision-preview", messages=messages, max_tokens=500, stream=False
-            # )
-    
-            # Stream the response
             full_response = ""
-            message_placeholder = st.empty()
-            for completion in openai.chat.completions.create(
+            for completion in openai.ChatCompletion.create(
                 model="gpt-4-vision-preview", messages=messages, 
                 max_tokens=150, 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 the app
-            # st.write(response.choices[0].message.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.")
+