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taratrankennedy
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Commit
β’
a0371ce
1
Parent(s):
4e866af
Update app.py
Browse files
app.py
CHANGED
@@ -65,7 +65,7 @@ def generate_response(user_query, relevant_segment):
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Generate a response emphasizing the bot's capability in providing country-specific visa information.
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"""
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try:
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system_message = "You are a
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user_message = f"Here's the information on visa requirements for your query: {relevant_segment}"
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messages = [
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{"role": "system", "content": system_message},
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@@ -92,13 +92,13 @@ def generate_response(user_query, relevant_segment):
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# Define and configure the Gradio application interface to interact with users.
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def query_model(question):
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"""
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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
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response = generate_response(question, relevant_segment)
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return response
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@@ -107,38 +107,23 @@ def query_model(question):
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# Define the welcome message and specific topics and countries the chatbot can provide information about.
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welcome_message = """
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## Your AI-driven
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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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- Currency Information
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- Embassy Information
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- Allowed stay
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"""
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countries = """
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### Our chatbot can currently answer questions for these countries!
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- π¨π³ China
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- π«π· France
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- π¬πΉ Guatemala
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- π±π§ Lebanon
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- π²π½ Mexico
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- π΅π Philippines
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- π·πΈ Serbia
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- πΈπ± Sierra Leone
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- πΏπ¦ South Africa
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- π»π³ Vietnam
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"""
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# Define and configure the Gradio application interface to interact with users.
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def query_model(question):
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@@ -173,7 +158,7 @@ with gr.Blocks() 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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Generate a response emphasizing the bot's capability in providing country-specific visa information.
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"""
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try:
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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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user_message = f"Here's the information on visa requirements for your query: {relevant_segment}"
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messages = [
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{"role": "system", "content": system_message},
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# Define and configure the Gradio application interface to interact with users.
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def query_model(question):
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"""
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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."
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response = generate_response(question, relevant_segment)
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return response
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# Define the welcome message and specific topics and countries the chatbot can provide information about.
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welcome_message = """
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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.
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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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# Define and configure the Gradio application interface to interact with users.
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def query_model(question):
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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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