Upload 2 files

app.py

@@ -160,7 +160,7 @@ def predict(message: str, history: List[List[str]], about_me: str) -> str:
 
 demo = gr.ChatInterface.load(
     predict,
-    textbox_test=gr.Textbox(
+    textbox=gr.Textbox(
         placeholder="Ask me a financial question",
         label="Financial question",
         container=False,

bot.py

@@ -63,25 +63,7 @@ def load_bot(
 
 # === Bot Runners ===
 
-@financial_bot.rest_api(keep_warm_seconds=300, loader=load_bot)
-def run(**inputs):
-    """
-    Run the bot under the Beam RESTful API endpoint.
-
-     Args:
-        inputs (dict): A dictionary containing the following keys:
-            - context: The bot instance.
-            - about_me (str): Information about the user.
-            - question (str): The user's question.
-            - history (list): A list of previous conversations (optional).
 
-    Returns:
-        str: The bot's response to the user's question.
-    """
-
-    response = _run(**inputs)
-
-    return response
 
 def run_local(
     about_me: str,