| import gradio as gr |
| from huggingface_hub import InferenceClient |
| import os |
|
|
| |
| |
| |
| 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 |
| """ |
| |
| 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." |
|
|
| |
| |
| |
| 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.", |
| ) |
|
|
| |
| |
| |
| with gr.Blocks(title="Lychee GPT") as demo: |
| with gr.Sidebar(): |
| gr.LoginButton() |
| chatbot.render() |
|
|
| if __name__ == "__main__": |
| demo.launch() |
