Update app.py

app.py

@@ -1620,13 +1620,49 @@ def process_image_old_05152024(image_input):
         )
         st.markdown(response.choices[0].message.content)
 
-def save_image(image_input, filename_txt):
+def save_image(image_input, filename):
+    # Save the uploaded image file
+    with open(filename, "wb") as f:
+        f.write(image_input.getvalue())
+    return filename
+
+def process_image(image_input):
+    if image_input:
+        base64_image = base64.b64encode(image_input.read()).decode("utf-8")
+        response = client.chat.completions.create(
+            model=MODEL,
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant that responds in Markdown."},
+                {"role": "user", "content": [
+                    {"type": "text", "text": "Help me understand what is in this picture and list ten facts as markdown outline with appropriate emojis that describes what you see."},
+                    {"type": "image_url", "image_url": {
+                        "url": f"data:image/png;base64,{base64_image}"}
+                    }
+                ]}
+            ],
+            temperature=0.0,
+        )
+        image_response = response.choices[0].message.content
+        st.markdown(image_response)
+        
+        # Save markdown on image AI output from gpt4o
+        filename_md = f"{image_input.name}.md"
+        with open(filename_md, "w", encoding="utf-8") as f:
+            f.write(image_response)
+
+        # Save copy of image with original filename
+        filename_img = image_input.name
+        save_image(image_input, filename_img)
+        
+        return image_response
+
+def save_imageold(image_input, filename_txt):
     # Save the uploaded video file
     with open(filename_txt, "wb") as f:
         f.write(image_input.getbuffer())
     return image_input.name
 
-def process_image(image_input):
+def process_imageold(image_input):
     if image_input:
         base64_image = base64.b64encode(image_input.read()).decode("utf-8")
         response = client.chat.completions.create(