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| import gradio as gr | |
| import requests | |
| import os | |
| # Load instructions from local files | |
| def load_instruction(persona): | |
| try: | |
| with open(f"instructions/{persona.lower()}.txt", "r") as file: | |
| return file.read() | |
| except FileNotFoundError: | |
| return "" | |
| # Call Cohere R+ model via API | |
| def call_cohere_api(system_instruction, user_prompt): | |
| headers = { | |
| "Authorization": f"Bearer {os.getenv('COHERE_API_KEY')}", | |
| "Content-Type": "application/json" | |
| } | |
| payload = { | |
| "model": "command-r-plus", | |
| "message": user_prompt, | |
| "preamble": system_instruction, | |
| "max_tokens": 300 | |
| } | |
| response = requests.post("https://api.cohere.ai/v1/chat", headers=headers, json=payload) | |
| if response.status_code == 200: | |
| return response.json().get("text", "No response") | |
| else: | |
| return f"Error: {response.status_code} - {response.text}" | |
| # Wrapper for dual assistant responses | |
| def ask_forest_oracle(persona1, persona2, prompt): | |
| instruction1 = load_instruction(persona1) | |
| instruction2 = load_instruction(persona2) | |
| response1 = call_cohere_api(instruction1, prompt) | |
| response2 = call_cohere_api(instruction2, prompt) | |
| return response1.strip(), response2.strip() | |
| # UI Elements | |
| import os | |
| # Dynamically load persona names from instructions folder | |
| personas = [ | |
| os.path.splitext(f)[0].capitalize() | |
| for f in os.listdir("instructions") | |
| if f.endswith(".txt") | |
| ] | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(scale=0.15): | |
| gr.Image(value="data/MoreThanHumanVoices.png", label="More Than Human Voices", show_label=False) | |
| with gr.Column(): | |
| gr.Markdown("""# More Than Human Voices 🌳🪶 | |
| *Conversations with the more-than-human world.* | |
| This interactive experience allows you to ask questions to non-human personas—trees, crows, fungi, rivers—each responding from their own unique ecological viewpoint. | |
| Rooted in poetic imagination but grounded in scientific truth, these voices offer insight into the living Earth and our entanglement with it. | |
| """) | |
| with gr.Row(): | |
| persona1 = gr.Dropdown(personas, label="Choose First Persona", value="Tree") | |
| persona2 = gr.Dropdown(personas, label="Choose Second Persona", value="Crow") | |
| with gr.Row(): | |
| user_input = gr.Textbox(label="Your Question to them", placeholder="e.g., What do you think of humans?", lines=2) | |
| with gr.Row(): | |
| ask_button = gr.Button("Submit question") | |
| with gr.Row(): | |
| output1 = gr.Textbox(label="Response from Persona 1") | |
| output2 = gr.Textbox(label="Response from Persona 2") | |
| ask_button.click(fn=ask_forest_oracle, inputs=[persona1, persona2, user_input], outputs=[output1, output2]) | |
| if __name__ == "__main__": | |
| demo.launch() | |