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import gradio as gr
import os
import google.generativeai as genai
generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 40,
"max_output_tokens": 8192,
"response_mime_type": "text/plain",
}
def create_chat_session():
chat_session = Model.start_chat(
history=[
{
"role": "user",
"parts": [
"دائما اجابتك بالعربية تكون باللهجة النجدية السلام عليكم كيف الحال\n",
],
},
{
"role": "model",
"parts": [
" ابشر سم ما عليك امر وعليكم السلام ورحمة الله وبركاته. بخير، والحال معك؟\n",
],
},
]
)
return chat_session
def get_answer_ai(text):
global AI
try:
response = AI.send_message(text)
return response.text
except :
AI=create_chat_session()
response = AI.send_message(text)
return response.text
AI=None
Model=None
isActive="";
def greet(text,key):
global isActive
global Model
global AI
if key!="":
genai.configure(api_key=key)
Model = genai.GenerativeModel(
model_name="gemini-1.5-flash-8b",
generation_config=generation_config,
)
isActive=key
AI=create_chat_session()
return get_answer_ai(text)
demo = gr.Interface(fn=greet, inputs=["text","text"], outputs="text")
demo.launch()
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