Update app.py

app.py

@@ -1,4 +1,5 @@
 import torch
+import json
 from torch import cuda, bfloat16
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, BitsAndBytesConfig, StoppingCriteria, StoppingCriteriaList
 from langchain.llms import HuggingFacePipeline
@@ -117,9 +118,15 @@ class Chatbot:
                     "I'm using Code Composer Studio 5.4.0.00091 and enabled FPv4SPD16 floating point support for CortexM4 in TDA2. However, after building the project, the .asm file shows --float_support=vfplib instead of FPv4SPD16. Why is this happening?", 
                     "Master core in TDA2XX is a15 and in TDA3XX it is m4,so we have to shift all modules that are being used by a15 in TDA2XX to m4 in TDA3xx."]
         
-        dropdown = gr.Dropdown(label="Sample queries", choices=EXAMPLES)
-
         
+
+        file_path = "ticketNames.txt"
+
+        # Read the file content
+        with open(file_path, "r") as file:
+            content = file.read()
+        ticket_names = json.loads(content)
+        dropdown = gr.Dropdown(label="Sample queries", choices=ticket_names)
         
         tab1 = gr.Interface(fn=self.qa_infer, inputs=[gr.Textbox(label="QUERY", placeholder ="Enter your query here")], allow_flagging='never', examples=EXAMPLES, cache_examples=False, outputs=[gr.Textbox(label="SOLUTION"), gr.Textbox(label="RELATED QUERIES"), gr.HTML()], css=css_code)
         tab2 = gr.Interface(fn=self.qa_infer, inputs=[dropdown], allow_flagging='never', outputs=[gr.Textbox(label="SOLUTION"), gr.Textbox(label="RELATED QUERIES"), gr.HTML()], css=css_code, title="Dropdown Input") 
@@ -129,7 +136,7 @@ class Chatbot:
         # tab1.outputs = dummy_outputs
         # tab2.outputs = dummy_outputs
         
-        gr.TabbedInterface([tab1, tab2],["Textbox Input", "Dropdown Input"],title="TI E2E FORUM",theme="compact").launch(debug=True)
+        gr.TabbedInterface([tab1, tab2],["Textbox Input", "Dropdown Input"],title="TI E2E FORUM",css=css_code).launch(debug=True)
 
 # Instantiate and launch the chatbot
 chatbot = Chatbot()