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7912bd4 b801fd9 7912bd4 cab3e58 b801fd9 cab3e58 1a0409b b801fd9 8dbbbb7 b801fd9 7912bd4 cab3e58 8dbbbb7 cab3e58 b801fd9 | 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 | import gradio as gr
from huggingface_hub import InferenceClient
import os
# ============================================================
# ১. মডেল সেটআপ
# ============================================================
model_id = os.getenv("MODEL_ID", "zai-org/GLM-5.2")
def respond(
message,
history: list[dict[str, str]],
system_message,
max_tokens,
temperature,
top_p,
hf_token: gr.OAuthToken | None,
):
"""
Lychee GPT - Hugging Face Inference API ব্যবহার করে স্ট্রিমিং রেসপন্স
"""
# টোকেন নির্বাচন (লগইন করলে OAuth, নইলে Secret)
if hf_token is not None:
token = hf_token.token
else:
token = os.getenv("HF_TOKEN")
if token is None:
yield "⚠️ Please login or set HF_TOKEN in Space Secrets."
return
client = InferenceClient(token=token, model=model_id)
messages = [{"role": "system", "content": system_message}]
messages.extend(history)
messages.append({"role": "user", "content": message})
response = ""
try:
for msg in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token_text = msg.choices[0].delta.content or ""
response += token_text
yield response
except Exception as e:
yield f"❌ Error: {str(e)}. Check logs or model availability."
# ============================================================
# ২. Gradio UI
# ============================================================
chatbot = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(
value="You are Lychee GPT, a helpful AI assistant created by MX LLMS and MD Mushfiqur Rahim.",
label="System message"
),
gr.Slider(minimum=1, maximum=4096, 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"),
],
title="🍈 Lychee GPT",
description="Created by MD Mushfiqur Rahim & MX LLMS. Powered by Hugging Face Inference API.",
)
# ============================================================
# ৩. ডেমো (Login Button সহ)
# ============================================================
with gr.Blocks(title="Lychee GPT") as demo:
with gr.Sidebar():
gr.LoginButton()
chatbot.render()
if __name__ == "__main__":
demo.launch() |