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import os
import google.generativeai as genai
import gradio as gr
from dotenv import load_dotenv
load_dotenv()
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
# model_name = "gemini-1.5-flash-exp-0827"
TITLE = """<h1 align="center">🎮Chat with Gemini 1.5🔥</h1>"""
NOTICE = """
**Notices** 📜:
- This app is still in development
- Some features may not work as expected
"""
ABOUT = """
**Updates (2024-9-25)** 📈: Upgrade model to SOTA Gemini 1.5 Flash Experimental 0924
"""
ERRORS = """
Known errors ⚠️:
"""
FUTURE_IMPLEMENTATIONS = """
Future features 🚀:
- More tools such as web search
"""
# genai.configure(api_key=GEMINI_API_KEY)
# model = genai.GenerativeModel(
# model_name,
# safety_settings=[
# {
# "category": "HARM_CATEGORY_HARASSMENT",
# "threshold": "BLOCK_NONE"
# },
# {
# "category": "HARM_CATEGORY_HATE_SPEECH",
# "threshold": "BLOCK_NONE"
# },
# {
# "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
# "threshold": "BLOCK_NONE"
# },
# {
# "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
# "threshold": "BLOCK_NONE"
# }
# ],
# generation_config={
# "temperature": 1,
# "top_p": 0.95,
# "top_k": 64,
# "max_output_tokens": 8192,
# "response_mime_type": "text/plain",
# }
# )
# chat = model.start_chat(history=[])
# def clear_chat_history():
# chat.history = []
# def undo_chat():
# last_send, last_received = chat.rewind()
# def transform_history(history):
# new_history = []
# for user_msg, model_msg in history:
# new_history.append({"role": "user", "parts": [user_msg]})
# new_history.append({"role": "model", "parts": [model_msg]})
# return new_history
# def chatbot_stable(message, history):
# message_text = message["text"]
# message_files = message["files"]
# if message_files:
# image_uris = [genai.upload_file(path=file_path["path"]) for file_path in message_files]
# message_content = [message_text] + image_uris
# else:
# message_content = [message_text]
# response = chat.send_message(message_content, stream=True)
# response.resolve()
# return response.text
# gemini_chatbot_interface = gr.Chatbot(
# height=400,
# likeable=True,
# avatar_images=(
# None,
# "https://media.roboflow.com/spaces/gemini-icon.png"
# ),
# show_copy_button=True,
# show_share_button=True,
# render_markdown=True
# )
# clear_chat_button = gr.ClearButton(
# components=[gemini_chatbot_interface],
# value="🗑️ Clear"
# )
# undo_chat_button = gr.Button(
# value="↩️ Undo"
# )
# gemini_chatbot = gr.ChatInterface(
# fn=chatbot_stable,
# chatbot=gemini_chatbot_interface,
# multimodal=True,
# clear_btn=clear_chat_button,
# undo_btn=undo_chat_button
# )
model_list = ["gemini-1.5-pro", "gemini-1.5-pro-002", "gemini-1.5-pro-exp-0827", "gemini-1.5-flash", "gemini-1.5-flash-002", "gemini-1.5-flash-8b-exp-0924"]
genai.configure(api_key=GEMINI_API_KEY)
def clear_chat_history():
chat.history = []
def undo_chat():
last_send, last_received = chat.rewind()
def transform_history(history):
new_history = []
for user_msg, model_msg in history:
new_history.append({"role": "user", "parts": [user_msg]})
new_history.append({"role": "model", "parts": [model_msg]})
return new_history
def chatbot_stable(message, history, model_id, system_message, max_tokens, temperature, top_p,):
global model, chat
model = genai.GenerativeModel(
model_name=model_id,
system_instruction=system_message,
safety_settings=[
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_NONE"
}
],
generation_config={
"temperature": temperature,
"top_p": top_p,
"top_k": 40,
"max_output_tokens": max_tokens,
"response_mime_type": "text/plain",
}
)
chat = model.start_chat(history=[])
message_text = message["text"]
message_files = message["files"]
if message_files:
image_uris = [genai.upload_file(path=file_path["path"]) for file_path in message_files]
message_content = [message_text] + image_uris
else:
message_content = [message_text]
response = chat.send_message(message_content, stream=True)
response.resolve()
return response.text
gemini_chatbot_interface = gr.Chatbot(
height=500,
likeable=True,
avatar_images=(
None,
"https://media.roboflow.com/spaces/gemini-icon.png"
),
show_copy_button=True,
show_share_button=True,
render_markdown=True
)
clear_chat_button = gr.ClearButton(
components=[gemini_chatbot_interface],
value="🗑️ Clear"
)
undo_chat_button = gr.Button(
value="↩️ Undo"
)
gemini_chatbot = gr.ChatInterface(
fn=chatbot_stable,
chatbot=gemini_chatbot_interface,
multimodal=True,
clear_btn=clear_chat_button,
undo_btn=undo_chat_button,
additional_inputs=[
gr.Dropdown(
choices=model_list,
value="gemini-1.5-flash-002",
label="Models"
),
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
gr.Slider(minimum=1, maximum=8192, value=4096, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=1.0, value=1, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
) |