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| import gradio as gr | |
| import time | |
| import random | |
| import json | |
| # To test open trust-game-llama2-7b in terminal, | |
| # open conda environment via conda activate | |
| # and run this file via python3 data_fetcher.py | |
| # Example from here: https://www.techgropse.com/blog/how-to-return-sql-data-in-json-format-python/ | |
| # Use the built-in json module and the pymysql package if using MySQL as database: | |
| import mysql.connector | |
| import json | |
| import requests | |
| import urllib.parse | |
| import urllib.request | |
| # fetch data from the decisions database | |
| def fetch_data_as_json(): | |
| # Connect to the database | |
| conn = mysql.connector.connect( | |
| host="18.153.94.89", | |
| user="root", | |
| password="N12RXMKtKxRj", | |
| database="lionessdb" | |
| ) | |
| # Create a cursor object | |
| cursor = conn.cursor() | |
| # Execute the SQL query | |
| query = "SELECT playerNr, subjectNr, initialCredit, transfer1, tripledAmount1, keptForSelf1, returned1, " \ | |
| "newCreditRound2, transfer2, tripledAmount2, keptForSelf2, returned2, results2rounds, " \ | |
| "newCreditRound3, transfer3, tripledAmount3, keptForSelf3, returned3, results3rounds FROM e5390g37096_decisions" | |
| cursor.execute(query) | |
| # Fetch all rows and convert to a list of dictionaries | |
| rows = cursor.fetchall() | |
| result = [] | |
| for row in rows: | |
| d = {} | |
| for i, col in enumerate(cursor.description): | |
| d[col[0]] = row[i] | |
| result.append(d) | |
| # Convert the list of dictionaries to JSON | |
| json_result = json.dumps(result) | |
| # Close the database connection | |
| conn.close() | |
| # Return the JSON result | |
| return json_result | |
| # Call the function to fetch data as JSON | |
| json_result = fetch_data_as_json() | |
| # Print or use the json_result variable as needed | |
| print(json_result) | |
| get_window_url_params = """ | |
| function() { | |
| const params = new URLSearchParams(window.location.search); | |
| const url_params = Object.fromEntries(params); | |
| return url_params; | |
| } | |
| """ | |
| with gr.Blocks() as demo: | |
| gr.Markdown("""##Please insert`read query`in order to get the URL Parameters from the chatbot""") | |
| url_params = gr.JSON({}, visible=False, label="URL Params") | |
| chatbot = gr.Chatbot().style(height=500) | |
| msg = gr.Textbox() | |
| clear = gr.Button("Clear") | |
| json_result = fetch_data_as_json() | |
| def user(user_message, url_params, history): | |
| return "", history + [[user_message, None]] | |
| def bot(history, url_params): | |
| if "read query" in history[-1][0]: | |
| bot_message = f""" | |
| here your URL params: | |
| {json.dumps(url_params, indent=4)} | |
| """ | |
| else: | |
| bot_message = random.choice(["Yes", "No"]) | |
| history[-1][1] = bot_message | |
| time.sleep(1) | |
| return history | |
| msg.submit(user, inputs=[msg, url_params, chatbot], outputs=[msg, chatbot], queue=False).then( | |
| fn=bot, inputs=[chatbot, url_params], outputs=[chatbot] | |
| ) | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| demo.load( | |
| fn=lambda x: x, | |
| inputs=[url_params], | |
| outputs=[url_params], | |
| _js=get_window_url_params, | |
| queue=False | |
| ) | |
| demo.launch() |