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| import streamlit as st | |
| import json | |
| import google.generativeai as genai | |
| def Chat(): | |
| GOOGLE_API_KEY = "AIzaSyCUBaL7TdISL7lRuBy19_X0-OsZfgbIgEc" | |
| genai.configure(api_key=GOOGLE_API_KEY) | |
| model = genai.GenerativeModel('gemini-pro') | |
| def add_to_json(goal): | |
| try: | |
| with open("test.json", "r") as file: | |
| data = json.load(file) | |
| except FileNotFoundError: | |
| data = {"goals": []} # Create the file with an empty 'goals' list if it doesn't exist | |
| new_item = {"Goal": goal} | |
| data["goals"].append(new_item) | |
| with open("test.json", "w") as file: | |
| json.dump(data, file, indent=4) | |
| def main(): | |
| if prompt := st.chat_input("Hi, how can I help you?"): | |
| goals_prompt = f"""Act as a personal assistant... {prompt} """ | |
| completion = model.generate_content(goals_prompt) | |
| add_to_json(prompt) | |
| with st.chat_message("Assistant"): | |
| st.write(completion.text) | |
| # Display JSON Data | |
| if st.button("Show JSON Data"): | |
| with open("test.json", "r") as file: | |
| data = json.load(file) | |
| st.json(data) # Streamlit's way to display JSON | |
| if __name__ == "__main__": | |
| main() | |