Update app.py
Browse files
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
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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
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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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@@ -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
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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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@@ -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
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## Your AI-driven assistant for all
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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 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
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@@ -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="
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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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