Update app.py

app.py

@@ -2,9 +2,9 @@ import streamlit as st
 import base64
 from huggingface_hub import InferenceClient
 
-# Function to read the image file as bytes
-def get_image_bytes(image_file):
-    return image_file.read()
+# Function to read the image file and return a base64-encoded string
+def get_image_base64(image_file):
+    return base64.b64encode(image_file.read()).decode('utf-8')
 
 # Streamlit page setup
 st.set_page_config(page_title="MTSS Image Accessibility Alt Text Generator", layout="centered", initial_sidebar_state="auto")
@@ -63,8 +63,8 @@ complex_image_prompt_text = (
 if uploaded_file is not None and analyze_button:
 
     with st.spinner("Analyzing the image ..."):
-        # Read the image bytes
-        image_bytes = get_image_bytes(uploaded_file)
+        # Get base64-encoded image string
+        base64_image_string = get_image_base64(uploaded_file)
 
         # Determine which prompt to use based on the complexity of the image
         if complex_image:
@@ -91,8 +91,8 @@ if uploaded_file is not None and analyze_button:
                     {
                         "type": "image",
                         "image": {
-                            # Provide the image bytes directly
-                            "bytes": image_bytes
+                            # Provide the base64-encoded image string
+                            "bytes": base64_image_string
                         },
                     },
                 ],