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Update app.py
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app.py
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from huggingface_hub import InferenceClient
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import gradio as gr
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import random
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# Set up the client for
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def generate_text(prompt):
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response = client.text_generation(prompt, max_new_tokens=
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return response
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def
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Topic: {topic}
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Category:"""
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return generate_text(prompt).strip()
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def generate_structured_argument(topic, stance):
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prompt = f"""Generate a structured argument for the following debate topic.
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Topic: {topic}
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Stance: {stance}
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Your response should
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1.
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2.
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3.
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4.
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5.
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6. Conclusion
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Ensure each point is concise and well-reasoned."""
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return generate_text(prompt)
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prompt = f"""Generate a structured counterargument for the following debate topic and argument.
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Topic: {topic}
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Original Argument: {original_argument}
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1. Main counter-claim
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2. Rebuttal to original supporting point 1
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3. Rebuttal to original supporting point 2
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4. New supporting point for counter-claim
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5. Addressing the original rebuttal
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6. Conclusion
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prompt = f"""Assess the quality of the following argument on a scale of 1 to 10, where 1 is very poor and 10 is excellent. Consider factors such as logical coherence, evidence use, and persuasiveness.
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Score: [1-10]
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Reasoning: [Brief explanation of the score]"""
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return generate_text(prompt)
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prompt = f"""Provide a list of 3-5 credible sources that could be used to research the following debate topic:
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Topic: {topic}
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1.
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2.
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3.
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return generate_text(prompt)
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category = categorize_topic(topic)
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argument = generate_structured_argument(topic, stance)
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counterargument = generate_structured_counterargument(topic, argument)
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arg_quality = assess_argument_quality(argument)
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counter_quality = assess_argument_quality(counterargument)
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sources = generate_sources(topic)
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return f"""Topic Category: {category}
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Argument:
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{argument}
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Argument
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{
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Counterargument:
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{counterargument}
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{
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Suggested Sources for Further Research:
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{sources}"""
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def suggest_topic():
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topics = [
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"Should artificial intelligence be regulated?",
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"Is universal basic income a viable
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"Should
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"Is space
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"Should
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"Is nuclear
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"Should
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"Is a
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"Should
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"Is
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]
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return random.choice(topics)
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gr.Radio(["For", "Against"], label="Stance")
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],
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outputs=gr.Textbox(label="Generated Debate Content"),
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title="Advanced AI-powered Debate Assistant",
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description="Enter a debate topic and choose a stance to generate
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examples=[
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["Should artificial intelligence be regulated?", "For"],
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["Is universal basic income a viable
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["Should
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]
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)
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from huggingface_hub import InferenceClient
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import gradio as gr
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import random
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import os
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# Set up the client for Meta-Llama-3.1-8B model inference
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# Make sure you have set the HUGGING_FACE_HUB_TOKEN environment variable with your access token
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client = InferenceClient("meta-llama/Meta-Llama-3.1-8B", token=os.environ.get("HUGGING_FACE_HUB_TOKEN"))
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def generate_text(prompt, max_length=500):
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response = client.text_generation(prompt, max_new_tokens=max_length, temperature=0.7)
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return response
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def debate_assistant(topic, stance):
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# Generate the main argument
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argument_prompt = f"""Generate a comprehensive and well-structured argument for the following debate topic:
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Topic: {topic}
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Stance: {stance}
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Your response should include:
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1. A clear main claim
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2. Three strong supporting points with evidence
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3. A potential counterargument
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4. A rebuttal to that counterargument
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5. A compelling conclusion
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Please ensure your argument is logical, well-reasoned, and persuasive."""
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argument = generate_text(argument_prompt, max_length=800)
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# Generate a counterargument
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counter_prompt = f"""Generate a strong counterargument for the following debate topic:
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Topic: {topic}
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Original Stance: {stance}
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Your response should include:
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1. A clear counter-claim
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2. Three rebuttals to the original stance's likely arguments
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3. A new supporting point for your counter-claim
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4. A conclusion that reinforces your position
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Ensure your counterargument is logical, well-supported, and addresses key points of the original stance."""
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counterargument = generate_text(counter_prompt, max_length=800)
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# Generate analysis and additional content
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analysis_prompt = f"""Provide a comprehensive analysis of the debate on the following topic:
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Topic: {topic}
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Your analysis should include:
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1. Topic categorization (e.g., Politics, Economics, Technology, Ethics)
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2. Three key ethical considerations related to this topic
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3. Four thought-provoking discussion questions to further explore the topic
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4. A brief overview of the historical context or background of this debate
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5. Two potential real-world implications or consequences of this debate
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Please provide a balanced and insightful analysis."""
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analysis = generate_text(analysis_prompt, max_length=800)
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return f"""Argument ({stance}):
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{argument}
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Counterargument:
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{counterargument}
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Analysis:
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{analysis}"""
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def suggest_topic():
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topics = [
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"Should artificial general intelligence development be regulated globally?",
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"Is universal basic income a viable solution to technological unemployment?",
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"Should human genetic enhancement be allowed for non-medical purposes?",
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"Is space colonization necessary for the long-term survival of humanity?",
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"Should social media platforms be held legally responsible for user-generated content?",
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"Is nuclear fusion the ultimate solution to the global energy crisis?",
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"Should autonomous weapons systems be completely banned in warfare?",
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"Is a carbon tax the most effective way to combat climate change?",
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"Should governments implement a four-day work week to improve work-life balance?",
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"Is the current patent system hindering rather than promoting innovation?"
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]
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return random.choice(topics)
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gr.Radio(["For", "Against"], label="Stance")
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],
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outputs=gr.Textbox(label="Generated Debate Content"),
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title="Advanced AI-powered Debate Assistant (Meta-Llama-3.1-8B)",
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description="Enter a debate topic and choose a stance to generate comprehensive arguments, counterarguments, and analysis.",
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examples=[
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["Should artificial general intelligence development be regulated globally?", "For"],
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["Is universal basic income a viable solution to technological unemployment?", "Against"],
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["Should human genetic enhancement be allowed for non-medical purposes?", "For"]
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]
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)
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