Update app.py

app.py

@@ -351,15 +351,6 @@ Contact Number
 04274525546
 """
 
-
-suggested_questions = [
-    "What services do you offer?",
-    "Can you tell me about your web development process?",
-    "What is the cost for an e-commerce website?",
-    "How long does it take to develop a custom website?",
-    "Do you provide ongoing support and maintenance?",
-]
-
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -392,9 +383,6 @@ def respond(
         response += token
         yield response
 
-def set_suggested_question(question, textbox):
-    textbox.value = question
-
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
@@ -414,48 +402,6 @@ demo = gr.ChatInterface(
     ],
 )
 
-# Create an interface for suggested questions
-suggested_questions_dropdown = gr.Dropdown(
-    choices=suggested_questions,
-    label="Suggested Questions",
-    interactive=True,
-)
-
-# Textbox for user to input their message
-user_input = gr.Textbox(label="Your question here")
-
-# Button to set the selected suggested question to the user input textbox
-set_question_button = gr.Button("Set Suggested Question")
-
-# Function to update the user input textbox with the selected suggested question
-set_question_button.click(
-    set_suggested_question,
-    inputs=[suggested_questions_dropdown, user_input],
-    outputs=[user_input],
-)
-
-demo = gr.Blocks()
-
-with demo:
-    gr.Markdown("# Airavath Technologies Chatbot")
-    suggested_questions_dropdown.render()
-    user_input.render()
-    set_question_button.render()
-    gr.ChatInterface(
-        respond,
-        additional_inputs=[
-            gr.Textbox(value=airavath_details, label="System message"),
-            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-            gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-            gr.Slider(
-                minimum=0.1,
-                maximum=1.0,
-                value=0.95,
-                step=0.05,
-                label="Top-p (nucleus sampling)",
-            ),
-        ],
-    ).launch()
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()