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Update app.py
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app.py
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@@ -1,9 +1,11 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("microsoft/phi-4")
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#
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BIO_TOPICS = [
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"Cell Biology",
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"Organisation",
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chosen_topic = topic
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return f"β
Great! You've chosen **{topic}**. Let's start your study session."
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def respond(message, history):
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global chosen_topic
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if not chosen_topic:
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return "β οΈ Please choose a topic before starting."
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messages = [{
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"role": "system",
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"content": f"You are a friendly GCSE Biology tutor focusing on **{chosen_topic}**."
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}]
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if history:
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)
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return response['choices'][0]['message']['content'].strip()
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# Create the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# ACE it! π β GCSE Biology Tutor")
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topic_button.click(set_topic, inputs=topic_dropdown, outputs=topic_output)
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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import torch
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from sentance-transformers import SentanceTransformer
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client = InferenceClient("microsoft/phi-4")
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# Topic list
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BIO_TOPICS = [
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"Cell Biology",
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"Organisation",
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chosen_topic = topic
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return f"β
Great! You've chosen **{topic}**. Let's start your study session."
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def respond(message, history):
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global chosen_topic
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messages = [{
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"role": "system",
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"content": f"You are a friendly GCSE Biology tutor focusing on **{chosen_topic}**." # Add full on prompt
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}]
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if history:
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)
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return response['choices'][0]['message']['content'].strip()
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# Create the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# ACE it! π β GCSE Biology Tutor")
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topic_button.click(set_topic, inputs=topic_dropdown, outputs=topic_output)
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demo.launch()
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