import gradio as gr import json def char(char_name, char_age, char_features, char_personality): char_info = { "name": char_name, "age": char_age, "features": char_features, "personality": char_personality } return char_info def user(user_name, user_age, user_features, user_related, char_name): user_info = { "name": user_name, "age": user_age, "features": user_features, "relation": f"{user_related} of {char_name}" } return user_info def combine_info(user_info, char_info, scenario): combined_info = f"""You are an expert actor, capable of fully immersing yourself in any role. Once you assume a role, you do not break character under any circumstances, even if addressed as an AI or language model. Your current role is {char_info['name']}, described in detail below. Engage in the exchange as {char_info['name']}, treating the other participant as a {user_info['relation']} in this role-play scenario. Role-play scenario:\n{scenario} User Info: Name: {user_info['name']} Age: {user_info['age']} Features: {user_info['features']} Character Info: Name: {char_info['name']} Age: {char_info['age']} Features: {char_info['features']} Personality: {char_info['personality']}""" return combined_info def save_character(char_info, user_info, combined_info): save_data = { "user": user_info, "character": char_info, "combined_info": combined_info } with open("saved_character.json", "w") as outfile: json.dump(save_data, outfile) return "Character and User information saved successfully!" def load_character(): try: with open("saved_character.json", "r") as infile: save_data = json.load(infile) user_info = save_data["user"] char_info = save_data["character"] combined_info = save_data["combined_info"] return ( user_info["name"], user_info["age"], user_info["features"], user_info["relation"].split(" ")[0], char_info["name"], char_info["age"], char_info["features"], char_info["personality"], combined_info, "Data loaded successfully!" ) except FileNotFoundError: return "", 0, "", "", "", 0, "", "", "", "No saved data found." # Advanced UI with features to dynamically add traits and load/save capabilities with gr.Blocks() as demo: saved_character_state = gr.State() with gr.Row(): with gr.Column(): gr.Markdown("### User Information") user_name = gr.Textbox(label="User Name", placeholder="e.g. John") user_age = gr.Number(label="User Age", placeholder="e.g. 30") user_features = gr.Textbox(label="User Features", placeholder="e.g. tall, brown hair, blue eyes") user_related = gr.Textbox(label="Relation to Character", placeholder="e.g. friend, sibling, colleague") user_output = gr.Textbox(label="User Information", interactive=False) with gr.Column(): gr.Markdown("### Character Information") char_name = gr.Textbox(label="Character Name", placeholder="e.g. Emily") char_age = gr.Number(label="Character Age", placeholder="e.g. 25") char_features = gr.Textbox(label="Character Features", placeholder="e.g. short, blonde hair, green eyes") char_personality = gr.Textbox(label="Character Personality", placeholder="e.g. outgoing, ambitious, creative") char_output = gr.Textbox(label="Character Information", interactive=False) scenario = gr.Textbox(label="Scenario", placeholder="e.g. {char} and {user} are meeting for coffee to discuss a potential business partnership.") combined_output = gr.Textbox(label="Combined User and Character Information", interactive=False) # Buttons submit_button = gr.Button("Submit User and Character Info") save_button = gr.Button("Save Character and User Info") load_button = gr.Button("Load Previous Info") save_message = gr.Textbox(label="Save/Load Status", interactive=False) # Define the actions for the buttons submit_button.click( lambda user_name, user_age, user_features, user_related, char_name, char_age, char_features, char_personality, scenario: ( user(user_name, user_age, user_features, user_related, char_name), char(char_name, char_age, char_features, char_personality), combine_info( user(user_name, user_age, user_features, user_related, char_name), char(char_name, char_age, char_features, char_personality), scenario ) ), inputs=[user_name, user_age, user_features, user_related, char_name, char_age, char_features, char_personality, scenario], outputs=[user_output, char_output, combined_output] ) save_button.click( lambda user_name, user_age, user_features, user_related, char_name, char_age, char_features, char_personality, combined_info: save_character( char(char_name, char_age, char_features, char_personality), user(user_name, user_age, user_features, user_related, char_name), combined_info ), inputs=[user_name, user_age, user_features, user_related, char_name, char_age, char_features, char_personality, combined_output], outputs=[save_message] ) load_button.click( load_character, inputs=[], outputs=[user_name, user_age, user_features, user_related, char_name, char_age, char_features, char_personality, combined_output, save_message] ) demo.launch()