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Sleeping
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37556ff a1a90e7 c90c8cd a1a90e7 c90c8cd 37556ff | 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 | import gradio as gr
import google.generativeai as genai
import os
# Load API key from Hugging Face Secrets
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
genai.configure(api_key=GEMINI_API_KEY)
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]: # User message
messages.append({"role": "user", "content": val[0]})
if val[1]: # Assistant response
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
# Call Gemini API
model = genai.GenerativeModel("gemini-1.5-flash")
response = model.generate_content(message, stream=True)
output = ""
for chunk in response:
if chunk.text:
output += chunk.text
yield output # Stream response in real-time
# Gradio Interface
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, 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)",
),
],
)
if __name__ == "__main__":
demo.launch()
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