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import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(message, history, system_message, max_tokens, temperature, top_p, backend):
forced_system = f"""
You are a code-generation AI. You MUST generate a full website including an index.html file.
Use only the {backend} backend structure.
Respond ONLY with raw code and file/folder structure. Do NOT explain or add commentary.
""".strip()
system_message = forced_system + "\n\n" + system_message
messages = [{"role": "system", "content": system_message}]
for user_msg, assistant_msg in history:
if user_msg:
messages.append({"role": "user", "content": user_msg})
if assistant_msg:
messages.append({"role": "assistant", "content": assistant_msg})
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message.choices[0].delta.content
if token:
response += token
yield response
with gr.Blocks() as demo:
gr.Markdown("# WebGen AI\nGenerate a complete website with your selected backend.")
with gr.Row():
system_msg = gr.Textbox(value="You're a helpful assistant.", label="System Message", lines=2)
backend = gr.Dropdown(["Flask", "Static", "Node.js"], value="Static", label="Backend")
with gr.Row():
max_tokens = gr.Slider(1, 2048, value=512, label="Max Tokens")
temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature")
top_p = gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
chatbot = gr.Chatbot()
msg = gr.Textbox(placeholder="Ask to generate a website...", label="Your Message")
def user_submit(message, chat_history):
return "", chat_history + [[message, None]]
submit = gr.Button("Send")
state = gr.State([])
submit.click(
user_submit,
[msg, state],
[msg, state]
).then(
respond,
[msg, state, system_msg, max_tokens, temperature, top_p, backend],
chatbot
)
if __name__ == "__main__":
demo.launch() |