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import gradio as gr
import openai
import json
from pymongo import MongoClient
import os
# Initialize MongoDB client
client = MongoClient(os.environ['DB_URL'])
db = client['test']
collection = db['gradio']
def get_saved_data():
saved_data = collection.find({}, {"_id": 0, "name": 1})
options = [item['name'] for item in saved_data]
return options
def chat_with_gpt(question, api_key, temperature, system_message):
openai.api_key = api_key
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": question}
],
temperature=temperature
)
assistant_reply = response['choices'][0]['message']['content']
return f"{assistant_reply}"
def update_dropdown_choices():
new_choices = get_saved_data()
return gr.Dropdown.update(choices=new_choices)
def save_to_mongodb(name, question, system_message):
if not name.strip(): # Check if name is empty or just whitespace
return "Please enter a name.", None # Return a message and None to indicate no update for the dropdown
collection.insert_one({"name": name, "question": question, "system_message": system_message})
return "Saved to MongoDB.", update_dropdown_choices()
def update_textboxes(selected_name):
selected_data = collection.find_one({"name": selected_name}, {"_id": 0})
return selected_data['question'], selected_data['system_message'], selected_data['name']
with gr.Blocks() as app:
saved_data_dropdown = gr.Dropdown(get_saved_data(), label="Select Saved Data")
name = gr.Textbox(lines=1, placeholder="Name", label="Name")
question = gr.Textbox(lines=2, placeholder="What's your question?", label="Question")
api_key = gr.Textbox(lines=1, placeholder="Your OpenAI API Key", label="API Key")
temperature = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.7, label="Temperature")
system_message = gr.Textbox(lines=1, placeholder="System Message (Optional)", value="You are a helpful assistant.", label="System Message")
with gr.Row():
chat_btn = gr.Button("Chat with GPT")
save_btn = gr.Button("Share to community")
output = gr.Textbox(label="Result", interactive=False)
chat_btn.click(chat_with_gpt, inputs=[question, api_key, temperature, system_message], outputs=output)
save_btn.click(save_to_mongodb, inputs=[name, question, system_message], outputs=[output, saved_data_dropdown])
saved_data_dropdown.select(update_textboxes, inputs=[saved_data_dropdown], outputs=[question, system_message, name])
app.launch()
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