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gurix
2025-03-29 17:44:29 +01:00
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.gitignore
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.envrc
__pycache__
*.pyc
*.pyo
*.pyd
*.swp
*.swo
*.swn
log
.python-version
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3.13
README.md
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# Cannabis Legalization Debate Simulator
## Overview
This project simulates a debate between two participants: one who is in favor of legalizing cannabis and another who is against it. The debate consists of multiple rounds, and each participant provides their arguments based on their predefined roles. The project uses the `Mistral` API to generate responses for the debate.
## Dependencies
- Python 3.x
- `random` module (standard library)
- `Mistral` API client (assumed to be installed and configured)
## Setup
1. **Clone the repository**:
```sh
git clone <repository-url>
cd <repository-directory>
```
2. **Install Python dependencies**:
Ensure you have Python 3.x installed. Then, install the required dependencies using `uv`:
```sh
uv sync
```
3. **Configure the Mistral API key**:
Make sure you have your `Mistral` API key configured. You can set it in the `participant.py` file or as an environment variable `MISTRAL_API_KEYMISTRAL_API_KEY`.
## Running the Debate Simulator
To run the debate simulator, execute the following command in your terminal:
```sh
uv run app.py
```
This will start the debate simulation, and you will see the output in your terminal.
## Logs
The logs for each participant's messages are stored in the `log/` directory. Each log file is named after the participant's class name (e.g., `ProParticipant.txt`, `ContraParticipant.txt`).
## Contributing
Contributions are welcome! Please fork the repository and submit a pull request with your changes.
## License
This project is licensed under the MIT License. See the `LICENSE` file for more details.
app.py
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from participant import ProParticipant, ContraParticipant
import random
def main():
pro_participant = ProParticipant("Pro")
contra_participant = ContraParticipant("Contra")
participants = [pro_participant, contra_participant]
random.shuffle(participants)
for participant in participants:
print(participant.name)
print(participant.role_description)
print("----------------------------------------------------------------")
print()
exit
opponents_answer = "Du bist der erste Teilnehmer in der ersten Runde. Was ist deine Meinung zum Thema?"
for i in range(4):
print(f"Round {i+1}")
for participant in participants:
opponents_answer = participant.answer(opponents_answer)
print(f"# {participant.name}")
print(opponents_answer)
print("---")
print()
print()
return
if __name__ == "__main__":
main()
hello.py
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def main():
print("Hello from debattierer!")
if __name__ == "__main__":
main()
participant.py
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from faker import Faker
fake = Faker()
from mistralai import Mistral
import os
api_key = os.environ["MISTRAL_API_KEY"]
if api_key is None:
raise ValueError("MISTRAL_API_KEY environment variable not set")
basic_instruction = """Sie sind Teilnehmer an einer Debatte. Sie sind entweder dafür oder dagegen. Ihnen wird ein Thema
gegeben, und Sie müssen dafür oder dagegen argumentieren. Argumentieren Sie wie ein durchschnittlicher Politiker.
Verhalten Sie sich wie ein echter Schweizer Politiker in einer öffentlich ausgestrahlten Debatte. Gehe auf die Antwort ihres
Opponenten ein, analysieren diese und antworte darauf. Beschränke dich auf maximal 100 Wörter. Vermeide Aufz$ahlungen.
Das Thema ist die Legalisierung von Cannabis. Du argumentierst aus der Perspektive eines Schweizer Politikers und kennst
dich gut mit der Schweizer Politik aus. Wenn du der erste Bist, der spricht, dann überlege dir ein Aspekt des Themas, den du
behandeln möchtest und fange damit an.
"""
class Participant:
def __init__(self, name, role_description):
self.name = f"""{name} {fake.name()}"""
self.client = Mistral(api_key=api_key)
self.role_description = role_description
os.remove(f"log/{self.__class__.__name__}.txt")
self.messages = [{"role": "system", "content": basic_instruction},
{"role": "system", "content": self.role_description}]
def answer(self, question):
self.messages.append({"role": "user", "content": question})
response = self.client.chat.complete(
model="mistral-large-latest",
messages=self.messages)
answer = response.choices[0].message.content
self.messages.append({"role": "assistant", "content": answer})
self.write_to_file(self.__class__.__name__, self.messages)
return answer
def write_to_file(self, filename, messages):
with open(f"log/{filename}.txt", "w") as file:
for message in messages:
file.write(f"{message['role']}: {message['content']}\n\n")
file.write("----------------------------------------------------------\n\n")
class ProParticipant(Participant):
def __init__(self, name):
role_description = """Du bist für die Legalisierung von Cannabis. Du argumentierst dafür, dass Cannabis
legalisiert werden sollte. Du hast eine starke Meinung zu dieser Frage und bist bereit, dich dafür einzusetzen."""
super().__init__(name, role_description)
class ContraParticipant(Participant):
def __init__(self, name):
role_description = """Du bist lehhnst die Legalisierung von Cannabis wehement ab. Du argumentierst dagegen, dass Cannabis
legalisiert werden sollte. Du hast eine extreme Meinung zu dieser Frage und bist bereit, dich dafür einzusetzen und weichst nicht von deiner Meinung ab."""
super().__init__(name, role_description)
pyproject.toml
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[project]
name = "debattierer"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"faker>=37.1.0",
"mistralai>=1.6.0",
]
uv.lock
Generated
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