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·
a7472ee
1
Parent(s):
d366b82
test
Browse files
app.py
CHANGED
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@@ -15,26 +15,24 @@ with gr.Blocks() as demo:
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gr.Markdown(" Description ")
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with gr.Row():
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send_button_POS = gr.Button("Send", scale=0)
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gr.Markdown("Strategy 1 QA")
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with gr.Row():
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gr.Markdown("Strategy 2 Instruction")
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with gr.Row():
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gr.Markdown("Strategy 3 Structured Prompting")
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with gr.Row():
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clear = gr.ClearButton([prompt, vicuna_chatbot1])
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with gr.Tab("Chunk"):
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gr.Markdown(" Description 2 ")
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@@ -62,20 +60,26 @@ with gr.Blocks() as demo:
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clear = gr.ClearButton([prompt_chunk, vicuna_chatbot1_chunk])
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# Define the function for generating responses
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def generate_response(
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response = tokenizer.decode(
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return response
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# Define the Gradio interface
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def
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#
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# Replace the old respond function with the new general function for Vicuna
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prompt.submit(chatbot_interface, [prompt, vicuna_chatbot1, vicuna_chatbot1_chunk])
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demo.launch()
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gr.Markdown(" Description ")
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with gr.Row():
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prompt_POS = gr.Textbox(show_label=False, placeholder="Enter prompt")
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send_button_POS = gr.Button("Send", scale=0)
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gr.Markdown("Strategy 1 QA")
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with gr.Row():
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vicuna_chatbot1_POS = gr.Chatbot(label="vicuna-7b", live=True)
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llama_chatbot1_POS = gr.Chatbot(label="llama-7b", live=False)
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gpt_chatbot1_POS = gr.Chatbot(label="gpt-3.5", live=False)
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gr.Markdown("Strategy 2 Instruction")
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with gr.Row():
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vicuna_chatbot2_POS = gr.Chatbot(label="vicuna-7b", live=True)
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llama_chatbot2_POS = gr.Chatbot(label="llama-7b", live=False)
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gpt_chatbot2_POS = gr.Chatbot(label="gpt-3.5", live=False)
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gr.Markdown("Strategy 3 Structured Prompting")
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with gr.Row():
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vicuna_chatbot3_POS = gr.Chatbot(label="vicuna-7b", live=True)
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llama_chatbot3_POS = gr.Chatbot(label="llama-7b", live=False)
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gpt_chatbot3_POS = gr.Chatbot(label="gpt-3.5", live=False)
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with gr.Tab("Chunk"):
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gr.Markdown(" Description 2 ")
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clear = gr.ClearButton([prompt_chunk, vicuna_chatbot1_chunk])
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# Define the function for generating responses
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def generate_response(prompt):
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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output_ids = model.generate(input_ids, max_length=500, pad_token_id=tokenizer.eos_token_id)
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response = tokenizer.decode(output_ids[0], skip_special_tokens=True)
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return response
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# Define the Gradio interface
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def chatbot_interface_POS(prompt_POS):
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vicuna_response_POS = generate_response(prompt_POS)
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# Add responses from other chatbots if needed
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return {"Vicuna-7B": vicuna_response_POS}
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def chatbot_interface_Chunk(prompt_chunk):
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vicuna_response_chunk = generate_response(prompt_chunk)
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# Add responses from other chatbots if needed
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return {"Vicuna-7B": vicuna_response_chunk}
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# Connect the interfaces to the functions
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send_button_POS.click(chatbot_interface_POS, [prompt_POS, vicuna_chatbot1_POS])
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send_button_Chunk.click(chatbot_interface_Chunk, [prompt_chunk, vicuna_chatbot1_chunk])
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demo.launch()
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