Update app.py

app.py

@@ -351,6 +351,14 @@ 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]],
@@ -383,6 +391,10 @@ 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
 """
@@ -403,5 +415,48 @@ 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()