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| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| import random | |
| # Making requests to the model to generate responses: | |
| client = InferenceClient('Qwen/Qwen2.5-72B-Instruct') | |
| def respond(message, history): | |
| #responses = ["Yes", "No"] | |
| #return random.choice(responses) | |
| messages = [{'role':'system', 'content': 'You are a friendly chatbot'}] | |
| if history: | |
| messages.extend(history) | |
| messages.append({'role':'user', 'content': message}) | |
| response = client.chat_completion(messages, max_tokens=100, temperature=1.7, top_p=.3) | |
| # Temp and top_p control randomness | |
| return response['choices'][0]['message']['content'].strip() | |
| chatbot = gr.ChatInterface(respond, type="messages") | |
| chatbot.launch() |