Upload folder using huggingface_hub

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 avatar1.jpg filter=lfs diff=lfs merge=lfs -text
 mariebot_avatar.png filter=lfs diff=lfs merge=lfs -text
+human_avatar.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -31,21 +31,33 @@ Here is some information about her work experience:
 
 Here is some information from the professional website, including her projects and skills:
 {website_text}
-
 """
 
 def chat(message, history):
-    messages = [{"role": "system", "content": system_prompt}] + history + [{"role": "user", "content": message}]
-
+    messages = [{"role": "system", "content": system_prompt}]
+    
+    # Convert history to the format expected by OpenAI
+    for user_msg, assistant_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:  # Only add assistant message if it exists
+            messages.append({"role": "assistant", "content": assistant_msg})
+    
+    messages.append({"role": "user", "content": message})
+    
     response = client.chat.completions.create(
-        model="gpt-4o-mini",
+        model="gpt-4",
         messages=messages,
     )
     return response.choices[0].message.content
 
-with gr.Blocks(theme=gr.themes.Ocean()) as demo:
-    chatbot = gr.Chatbot(avatar_images=["avatar1.jpg","mariebot_avatar.png"])
-    gr.ChatInterface(chat, type="messages", chatbot=chatbot)
+demo = gr.ChatInterface(
+    chat,
+    chatbot=gr.Chatbot(avatar_images=["human_avatar.png", "mariebot_avatar.png"]),
+    title="Marie's Professional Chat Assistant",
+    description="Ask me anything about Marie's professional experience and skills!",
+    theme=gr.themes.Ocean(),
+)
 
-demo.launch()
+if __name__ == "__main__":
+    demo.launch(share=False)