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264b602
1
Parent(s):
73b635d
Add application file
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app.py
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import gradio as gr
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from transformers import pipeline
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task = "text-generation" # Specify the task as text generation
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# model = "tiiuae/falcon-7b-instruct" # Use a specific model (option 1) or
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model = "tiiuae/falcon-40b-instruct" # Use another specific model (option 2)
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get_completion = pipeline(task=task, model=model, trust_remote_code=True) # Create a text generation pipeline
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# Define a function to format the chat history and create a prompt for the chatbot
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def format_chat_prompt(message, chat_history):
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prompt = ""
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for turn in chat_history:
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user_message, bot_message = turn
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prompt = f"{prompt}\nUser: {user_message}\nAssistant: {bot_message}"
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prompt = f"{prompt}\nUser: {message}\nAssistant:"
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return prompt
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# Define a function to respond to the user's message
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def respond(message, chat_history):
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formatted_prompt = format_chat_prompt(message, chat_history)
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# Generate a response using the specified model, given the formatted prompt
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bot_message = get_completion(formatted_prompt,
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max_new_tokens=1024,
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# stop_sequences=["\nUser:", "<|endoftext|>"],
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stop_sequences=["\nUser:", ""]).generated_text
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chat_history.append((message, bot_message)) # Add the user and bot messages to the chat history
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return "", chat_history
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# Create a Gradio interface with UI components
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(height=240) # Create a chatbot UI component
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msg = gr.Textbox(label="Prompt") # Create a textbox UI component for user input
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btn = gr.Button("Submit") # Create a submit button UI component
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# Create a clear button UI component that clears the console
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clear = gr.ClearButton(components=[msg, chatbot], value="Clear console")
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# Define the behavior of the submit button when clicked
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btn.click(respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
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# Define the behavior of the enter key in the textbox (submit action)
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msg.submit(respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
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# Launch the Gradio interface
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demo.launch()
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