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import gradio as gr
from huggingface_hub import InferenceClient
import os
HF_TOKEN = os.getenv('HF_TOKEN')
client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct", token=HF_TOKEN)
def respond(
message,
history: list[tuple[str, str]],
code: str,
):
messages = [{"role": "system", "content": "Tu es un assistant appelé Fabrice"}]
print(code)
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0] + ' \n' + code})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message + ' \n' + code})
response = ""
for message in client.chat_completion(
messages,
max_tokens=512,
stream=True,
temperature=0.7,
top_p=0.4,
):
token = message.choices[0].delta.content
response += token
yield response
with gr.Blocks(analytics_enabled=True) as demo:
code = gr.Code(language="python")
gr.ChatInterface(respond, additional_inputs=code)
demo.launch() |