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import gradio as gr
import os
import shelve
from g4f.client import Client
USER_AVATAR = "👤"
BOT_AVATAR = "🤖"
client = Client()
# Initialize chat history
def load_chat_history():
with shelve.open("chat_history") as db:
return db.get("messages", [])
def save_chat_history(messages):
with shelve.open("chat_history") as db:
db["messages"] = messages
chat_history = load_chat_history()
def chatbot_interface(user_input):
global chat_history
if user_input:
chat_history.append({"role": "user", "content": user_input})
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=chat_history,
)
bot_response = response.choices[0].message.content
chat_history.append({"role": "assistant", "content": bot_response})
save_chat_history(chat_history)
return bot_response
iface = gr.Interface(fn=chatbot_interface, inputs="text", outputs="text", title="Gradio Chatbot Interface")
iface.launch()
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