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f7fdad1
1 Parent(s): 0014e8e

Update app.py

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Files changed (1) hide show
  1. app.py +10 -13
app.py CHANGED
@@ -11,7 +11,7 @@ retrieval_model_name = 'output/sentence-transformer-finetuned/'
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  openai.api_key = os.environ["OPENAI_API_KEY"]
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- system_message = "You are a chess chatbot specialized in providing information on chess rules, strategies, and terminology."
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  # Initial system message to set the behavior of the assistant
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  messages = [{"role": "system", "content": system_message}]
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@@ -64,7 +64,7 @@ def find_relevant_segment(user_query, segments):
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  def generate_response(user_query, relevant_segment):
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  """
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- Generate a response emphasizing the bot's capability in providing chess information.
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  """
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  try:
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  user_message = f"Here's the information on chess: {relevant_segment}"
@@ -99,7 +99,7 @@ def query_model(question):
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  Process a question, find relevant information, and generate a response.
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  """
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  if question == "":
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- return "Welcome to ChessBot! Ask me anything about chess rules, strategies, and terminology."
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  relevant_segment = find_relevant_segment(question, segments)
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  if not relevant_segment:
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  return "Could not find specific information. Please refine your question."
@@ -108,20 +108,17 @@ def query_model(question):
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  # Define the welcome message and specific topics the chatbot can provide information about
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  welcome_message = """
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- # ♟️ Welcome to ChessBot!
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- ## Your AI-driven assistant for all chess-related queries. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp.
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  """
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  topics = """
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  ### Feel Free to ask me anything from the topics below!
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- - Chess piece movements
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- - Special moves
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- - Game phases
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- - Common strategies
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- - Chess terminology
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- - Famous games
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- - Chess tactics
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  """
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  # Setup the Gradio Blocks interface with custom layout components
@@ -133,7 +130,7 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
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  with gr.Row():
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  with gr.Column():
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  question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
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- answer = gr.Textbox(label="ChessBot Response", placeholder="ChessBot will respond here...", interactive=False, lines=10)
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  submit_button = gr.Button("Submit")
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  submit_button.click(fn=query_model, inputs=question, outputs=answer)
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  openai.api_key = os.environ["OPENAI_API_KEY"]
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+ system_message = "You are a college chatbot specialized in providing information on financing, admissions, and general inforamation about the colelges."
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  # Initial system message to set the behavior of the assistant
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  messages = [{"role": "system", "content": system_message}]
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  def generate_response(user_query, relevant_segment):
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  """
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+ Generate a response emphasizing the bot's capability in providing information about colleges.
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  """
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  try:
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  user_message = f"Here's the information on chess: {relevant_segment}"
 
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  Process a question, find relevant information, and generate a response.
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  """
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  if question == "":
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+ return "Welcome to Collete the college counseler! Ask me anything about colleges, admisions, and financing."
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  relevant_segment = find_relevant_segment(question, segments)
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  if not relevant_segment:
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  return "Could not find specific information. Please refine your question."
 
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  # Define the welcome message and specific topics the chatbot can provide information about
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  welcome_message = """
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+ # ♟️ Welcome to Collete!
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+ ## Your AI-driven assistant for all college-related queries. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp.
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  """
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  topics = """
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  ### Feel Free to ask me anything from the topics below!
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+ - College community
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+ - Price of colleges
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+ - Best Majors at a college
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+ - Location
 
 
 
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  """
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  # Setup the Gradio Blocks interface with custom layout components
 
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  with gr.Row():
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  with gr.Column():
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  question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
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+ answer = gr.Textbox(label="Collete Response", placeholder="Collete will respond here...", interactive=False, lines=10)
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  submit_button = gr.Button("Submit")
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  submit_button.click(fn=query_model, inputs=question, outputs=answer)
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