Update app.py

app.py

@@ -8,10 +8,6 @@ from sklearn.feature_extraction.text import CountVectorizer
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.pipeline import Pipeline
 import joblib
-import warnings
-
-# Suppress specific warnings if necessary
-warnings.filterwarnings("ignore", category=UserWarning, module="gradio.components.chatbot")
 
 # Initialize the HuggingFace API Client with a valid model
 # Replace 'gpt-3.5-turbo' with your desired model if different
@@ -132,15 +128,14 @@ with gr.Blocks() as demo:
 
     with gr.Tab("💬 Chat"):
         chatbot = gr.Chatbot(label="AI Chatbot", type="messages")  # Specify type='messages'
-        # Removed .style(height=600) as it's deprecated
 
         with gr.Row():
-            with gr.Column(scale=0.85):
+            with gr.Column(scale=5):  # Changed from 0.85 to 5
                 user_input = gr.Textbox(
                     label="Your Message",
                     placeholder="Type your message here...",
                 )
-            with gr.Column(scale=0.15, min_width=100):
+            with gr.Column(scale=1, min_width=100):  # Changed from 0.15 to 1
                 send_button = gr.Button("Send", variant="primary")
         with gr.Row():
             system_message = gr.Textbox(
@@ -183,7 +178,7 @@ with gr.Blocks() as demo:
         file_upload = gr.File(
             label="Upload CSV File",
             file_types=[".csv"],
-            multiple=False,
+            file_count="single",  # Replaced 'multiple=False' with 'file_count="single"'
             interactive=True,
         )
         upload_output = gr.Textbox(label="Upload Result", interactive=False)