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Update app.py
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app.py
CHANGED
@@ -61,21 +61,19 @@ def chat_response(user_input, top_p, top_k, temperature, max_length):
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input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(input_text, return_tensors="pt").to(model.device)
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with torch.no_grad():
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**inputs,
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max_length=max_length,
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do_sample=True,
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top_p=top_p,
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top_k=top_k,
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temperature=temperature
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full_response = ""
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for token in stream:
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full_response += tokenizer.decode(token, skip_special_tokens=True)
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yield extract_response(full_response)
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# 🔹 Gradio UI
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with gr.Blocks() as demo:
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@@ -96,7 +94,7 @@ with gr.Blocks() as demo:
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with gr.Row():
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submit_button = gr.Button("Generate Response")
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submit_button.click(chat_response, inputs=[user_input, top_p, top_k, temperature, max_length], outputs=[chatbot]
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# 🔹 Launch the Gradio app
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demo.launch()
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input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(input_text, return_tensors="pt").to(model.device)
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full_response = ""
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with torch.no_grad():
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for token in model.generate(
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**inputs,
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max_length=max_length,
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do_sample=True,
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top_p=top_p,
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top_k=top_k,
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temperature=temperature
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):
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full_response += tokenizer.decode(token, skip_special_tokens=True)
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yield gr.Textbox.update(value=extract_response(full_response))
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# 🔹 Gradio UI
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with gr.Blocks() as demo:
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with gr.Row():
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submit_button = gr.Button("Generate Response")
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submit_button.click(chat_response, inputs=[user_input, top_p, top_k, temperature, max_length], outputs=[chatbot])
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# 🔹 Launch the Gradio app
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demo.launch()
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