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2b2ee8d b360f11 2068ec1 2b2ee8d b360f11 7cccde1 b360f11 2068ec1 2b2ee8d 2068ec1 2b2ee8d 2068ec1 2b2ee8d 2068ec1 2b2ee8d b360f11 2068ec1 b360f11 2068ec1 b360f11 2b2ee8d b360f11 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | import gradio as gr
import os
from groq import Groq
# Password authentication setup
PASSWORD = os.environ.get("APP_PASS") # Get from Space secrets
authenticated = False # Track authentication state
# Initialize Groq client
client = Groq(api_key=os.environ.get("GROQ_API_KEY")) # Get API key from Space secrets
def respond(
message,
history: list[tuple[str, str]],
system_message,
model_name,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
response = ""
# Use Groq's streaming API
for chunk in client.chat.completions.create(
model=model_name,
messages=messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
if chunk.choices[0].delta.content is not None:
token = chunk.choices[0].delta.content
response += token
yield response
def check_password(password_attempt):
if password_attempt == PASSWORD:
return True, "Login successful! Redirecting to chat..."
else:
return False, "Incorrect password. Please try again."
# Authentication interface
with gr.Blocks() as login_interface:
gr.Markdown("## Authentication Required")
gr.Markdown("Please enter the password to access this application.")
password_input = gr.Textbox(type="password", label="Password")
login_button = gr.Button("Login")
result = gr.Markdown()
# Chat interface (initially hidden)
with gr.Accordion("Chat", visible=False) as chat_accordion:
# Add model selection dropdown
model_dropdown = gr.Dropdown(
choices=[
"llama3-8b-8192",
"llama3-70b-8192",
"mixtral-8x7b-32768",
"gemma-7b-it"
],
value="mixtral-8x7b-32768",
label="Model"
)
chat_interface = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
model_dropdown,
gr.Slider(minimum=1, maximum=4096, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.0, maximum=2.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
# Login logic
def handle_login(password):
success, message = check_password(password)
if success:
return message, gr.update(visible=True), gr.update(visible=False)
else:
return message, gr.update(visible=False), gr.update(visible=True)
login_button.click(
handle_login,
inputs=[password_input],
outputs=[result, chat_accordion, password_input],
)
if __name__ == "__main__":
login_interface.launch() |