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import gradio as gr
from huggingface_hub import InferenceClient
from transformers import AutoTokenizer
client = InferenceClient(model="AriakimTaiyo/gpt2-chat")
# Load the tokenizer explicitly
tokenizer = AutoTokenizer.from_pretrained("AriakimTaiyo/gpt2-chat")
def respond(message, history, system_message):
# Prepare messages, starting with the 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})
# Add the latest user message
messages.append({"role": "user", "content": message})
response = ""
try:
# Generate responses
for message in client.chat_completion(
messages=messages,
max_tokens=256,
stream=True,
temperature=0.7,
top_p=0.95,
):
token = message.choices[0].delta.get('content', '')
response += token
yield response
except Exception as e:
# Return the error message in case of an exception
yield f"Hata: {e}"
# Create the Gradio interface
with gr.Blocks(theme=gr.Theme.from_hub('HaleyCH/HaleyCH_Theme')) as demo:
system_message = gr.HTML("""
<h1 style="color: #fff; text-shadow: 0 0 5px #fff, 0 0 10px #fff, 0 0 15px #fff, 0 0 10px #0000ff, 0 0 15px #0000ff; text-align: center;">
SIMULACRA GPT-2
</h1>
<p>🤖 Welcome to Simulacra user! See our account for more information.</p>
""")
chatbot = gr.Chatbot()
msg = gr.Textbox(label="Mesajınızı yazın")
# Place buttons side by side
with gr.Row():
clear = gr.Button("Temizle")
submit = gr.Button("Gönder")
def user_input(user_message, history):
return "", history + [[user_message, None]]
def bot_response(history):
last_message = history[-1][0]
response_gen = respond(
message=last_message,
history=history[:-1],
system_message=system_message.value,
)
for response in response_gen:
history[-1][1] = response
yield history
msg.submit(user_input, [msg, chatbot], [msg, chatbot], queue=False).then(
bot_response, chatbot, chatbot
)
clear.click(lambda: None, None, chatbot, queue=False)
submit.click(lambda: msg.submit(), None, chatbot, queue=False) # Send the message when the "Gönder" button is clicked
# Launch the app
if __name__ == "__main__":
demo.launch(share=True)
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