Upload folder using huggingface_hub

.github/workflows/update_space.yml

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+name: Run Python script
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

.gitignore

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+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+.env
+
+# Virtual environments
+.venv

.python-version

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+3.12

README.md

@@ -1,12 +1,6 @@
 ---
-title: Debate Prep Ai
-emoji: 🌖
-colorFrom: green
-colorTo: yellow
+title: debate-prep-ai
+app_file: main.py
 sdk: gradio
 sdk_version: 5.38.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

agents.py

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+from crewai import Agent
+from gradio import Markdown
+
+proposer = Agent(
+    role="Proposer",
+    goal="Argue that being vegan is better for the environment",
+    backstory="You are a passionate environmentalist with deep knowledge in sustainability and climate science.",
+    verbose=True
+)
+
+opposer = Agent(
+    role="Opposer",
+    goal="Argue that being vegan is not necessarily better for the environment",
+    backstory="You are a critical thinker who questions mainstream beliefs and supports nuanced ecological arguments.",
+    verbose=True
+)
+
+judge = Agent(
+    role="Judge",
+    goal="Impartially evaluate the arguments and decide who made a stronger case",
+    backstory="You are a neutral academic with expertise in logic, debate, and environmental science.",
+    verbose=True
+)

main.py

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+from dotenv import load_dotenv
+from crewai import Agent, Task, Crew
+from crewai.memory import LongTermMemory
+from agents import proposer, opposer, judge
+import gradio as gr
+from gradio import themes
+
+
+def format_as_chat(message, chat_history=[], role="user"):
+    chat_history.append({"role": role, "content": message})
+    return chat_history
+
+
+def format_as_chat_history(messages):
+    return [
+        {"role": "user" if i % 2 == 0 else "assistant", "content": message}
+        for i, message in enumerate(messages)
+    ]
+
+
+def debate(motion="Being vegan is better for the environment", MAX_ROUNDS=4):
+    print("Hello from debate-prep-ai!")
+    load_dotenv(override=True)
+
+    turn = "proposer"
+    debate_log = []
+    yield format_as_chat("Starting debate...", [], "assistant")
+
+    print("Iterating now...")
+    for round_num in range(MAX_ROUNDS):
+        if turn == "proposer":
+            prompt = (
+                f"Start the debate by making your first argument supporting: '{motion}'."
+                if not debate_log
+                else f"The opponent said: '{debate_log[-1]}'. Respond with a strong counterargument supporting the motion. here is the entire debate log: {debate_log}"
+            )
+            agent = proposer
+            expected_output = (
+                f"A single sentence argument in favor of the motion: {motion}"
+            )
+        else:
+            prompt = f"The opponent said: '{debate_log[-1]}'. Respond with a strong counterargument against the motion. here is the entire debate log: {debate_log}"
+            agent = opposer
+            expected_output = f"A single sentence argument against the motion: {motion}"
+
+        task = Task(description=prompt, expected_output=expected_output, agent=agent)
+
+        result = Crew(agents=[agent], tasks=[task]).kickoff()
+        # print(result.raw)
+        debate_log.append(f"## {turn.capitalize()}: \n{result}")
+        chat_history = format_as_chat_history(debate_log)
+        yield chat_history
+
+        turn = "proposer" if turn == "opposer" else "opposer"
+
+    # Final Verdict by Judge
+    debate_summary = "\n\n".join(
+        [
+            (f"proposer: {point}" if i % 2 == 0 else f"opposer: {point}")
+            for i, point in enumerate(debate_log)
+        ]
+    )
+    yield format_as_chat(
+        f"### Arguments Completed. \n\n #### Judging now ...", chat_history, "user"
+    )
+
+    judge_task = Task(
+        description=(
+            f"You are the judge of a debate on the motion: '{motion}'. "
+            f"Here is the full transcript of the debate:\n\n{debate_summary}\n\n"
+            "Evaluate the arguments and give a reasoned verdict on which side was more persuasive and why. Respond with an organized markdown with the following sections: \n\n"
+            "1. Introduction: \n\n"
+            "2. Arguments: \n\n"
+            "3. Conclusion: \n\n"
+            "4. Verdict: \n\n"
+            "5. Why: \n\n"
+        ),
+        expected_output="A reasoned verdict on which side was more persuasive and why.",
+        agent=judge,
+    )
+
+    final_crew = Crew(tasks=[judge_task], agents=[judge], verbose=True)
+    verdict = final_crew.kickoff()
+
+    yield format_as_chat(
+        f"👨‍⚖️ FINAL VERDICT ARRIVED\n\n\n\n {verdict}", chat_history, "assistant"
+    )
+
+
+def renderInterface():
+    with gr.Blocks(theme=themes.Default(primary_hue="blue")) as demo:
+        gr.Markdown("# Debate Prep AI")
+        gr.Markdown(
+            "This is a simple Agentic-AI developed using CrewAI that helps you prepare for a debate. It uses 3 agents: the proposer, the opposer and the judge. Use this app to understand what arguments (and counter-arguments) you can place during the debate."
+        )
+        gr.Markdown("## How to use:")
+        gr.Markdown("1. Enter the motion of the debate in the text box below.")
+        gr.Markdown("2. Click the 'Debate' button to start the debate.")
+        gr.Markdown(
+            "3. The AI will generate arguments for your side and evaluate the arguments of the other side."
+        )
+        gr.Markdown(
+            "4. The AI will give you a verdict on which side was more persuasive and why."
+        )
+        gr.Markdown(
+            "5. Confused where to begin? Try asking `AI is bad for humans` and click on *Debate* button."
+        )
+
+        motion = gr.Textbox(
+            label="Motion",
+            placeholder="What do you want to debate about?",
+            info="This is the motion of the debate. It is the statement that you want to debate about. For e.g. you could say Being vegan is better for the environment",
+            submit_btn="Debate",
+        )
+        max_rounds = gr.Slider(
+            label="Number of Rounds",
+            value=4,
+            minimum=1,
+            maximum=10,
+            info="This is the number of rounds of the debate. The more rounds, the more detailed the debate will be.",
+            visible=False,
+        )
+        chat = gr.Chatbot(label="Debate Log", value=[], type="messages")
+        motion.submit(debate, inputs=[motion, max_rounds], outputs=[chat])
+
+    demo.launch()
+
+
+if __name__ == "__main__":
+    renderInterface()

pyproject.toml

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+[project]
+name = "debate-prep-ai"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "chromadb>=1.0.15",
+    "crewai>=0.148.0",
+    "dotenv>=0.9.9",
+    "gradio>=5.38.0",
+]