Upload app.py

Resolving More Errors

app.py

@@ -400,7 +400,7 @@ Rules:
 # CHATBOT RESPONSE  (RAG + tool-calling loop)
 # ══════════════════════════════════════════════════════════════════════════════
 
-def respond_chatbot(user_message: str, history: list[dict]) -> str:
+def respond_chatbot(user_message: str, history: list) -> str:
     """
     Gradio chat handler.  For each user turn:
 
@@ -446,9 +446,25 @@ def respond_chatbot(user_message: str, history: list[dict]) -> str:
     print(sep)
 
     # ── 4. Assemble message list ───────────────────────────────────────────
+    # Normalise history: Gradio 3.x passes list[[user,assistant]] pairs;
+    # Gradio 4.x passes list[{"role":..,"content":..}] dicts.
+    # We convert both to the OpenAI dict format.
+    normalised_history: list[dict] = []
+    for entry in history:
+        if isinstance(entry, dict):
+            # Gradio 4.x format — already correct
+            normalised_history.append(entry)
+        elif isinstance(entry, (list, tuple)) and len(entry) == 2:
+            # Gradio 3.x format — [user_msg, assistant_msg]
+            user_turn, assistant_turn = entry
+            if user_turn:
+                normalised_history.append({"role": "user",      "content": user_turn})
+            if assistant_turn:
+                normalised_history.append({"role": "assistant", "content": assistant_turn})
+
     messages: list[dict] = (
         [{"role": "system", "content": augmented_system}]
-        + history
+        + normalised_history
         + [{"role": "user", "content": user_message}]
     )
 
@@ -514,7 +530,8 @@ demo = gr.ChatInterface(
         "Chat with an AI representation of Mohammad Areef Penukonda. "
         "Ask about his background, experience, or education."
     ),
-    examples = ["What's your background?", "Professional Experience"],
+    # NOTE: type="messages" removed — only supported in Gradio 4.x+
+    examples=["What's your background?", "Professional Experience"],
     theme=gr.themes.Soft(),
 )