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import gradio as gr |
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import requests |
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import os |
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import json |
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API_KEY = os.getenv('API_KEY') |
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INVOKE_URL = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/0e349b44-440a-44e1-93e9-abe8dcb27158" |
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FETCH_URL_FORMAT = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/status/" |
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headers = { |
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"Authorization": f"Bearer {API_KEY}", |
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"Accept": "application/json", |
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"Content-Type": "application/json", |
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} |
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BASE_SYSTEM_MESSAGE = "I carefully provide accurate, factual, thoughtful, nuanced answers and am brilliant at reasoning." |
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def call_nvidia_api(history_api, system_message, max_tokens, temperature, top_p): |
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messages = [{"role": "system", "content": system_message}] if system_message else [] |
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for msg in history_api: |
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if msg[1]: |
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messages.append({"role": "user", "content": msg[0]}) |
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messages.append({"role": "assistant", "content": msg[1]}) |
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payload = { |
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"messages": messages, |
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"temperature": temperature, |
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"top_p": top_p, |
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"max_tokens": max_tokens, |
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"stream": False |
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} |
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session = requests.Session() |
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response = session.post(INVOKE_URL, headers=headers, json=payload) |
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while response.status_code == 202: |
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request_id = response.headers.get("NVCF-REQID") |
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fetch_url = FETCH_URL_FORMAT + request_id |
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response = session.get(fetch_url, headers=headers) |
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response.raise_for_status() |
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response_body = response.json() |
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if response_body.get("choices"): |
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assistant_message = response_body["choices"][0]["message"]["content"] |
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return assistant_message, response_body["choices"][0] |
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else: |
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return "Desculpe, ocorreu um erro ao gerar a resposta.", None |
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def chatbot_submit(message, chat_history_ui, chat_history_api, system_message, max_tokens_val, temperature_val, top_p_val): |
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assistant_message, api_response = call_nvidia_api(chat_history_api, system_message, max_tokens_val, temperature_val, top_p_val) |
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chat_history_ui.append([message, assistant_message]) |
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if api_response: |
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chat_history_api.append([message, assistant_message]) |
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return assistant_message, chat_history_ui, chat_history_api |
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system_msg = gr.Textbox(BASE_SYSTEM_MESSAGE, label="System Message", placeholder="System prompt.", lines=5) |
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max_tokens = gr.Slider(20, 1024, label="Max Tokens", step=20, value=1024) |
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temperature = gr.Slider(0.0, 1.0, label="Temperature", step=0.1, value=0.2) |
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top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.7) |
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with gr.Blocks() as demo: |
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chat_history_state_ui = gr.State([]) |
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chat_history_state_api = gr.State([]) |
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system_msg = gr.Textbox(BASE_SYSTEM_MESSAGE, label="System Message", placeholder="System prompt.", lines=5) |
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max_tokens = gr.Slider(20, 1024, label="Max Tokens", step=20, value=1024) |
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temperature = gr.Slider(0.0, 1.0, label="Temperature", step=0.1, value=0.2) |
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top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.7) |
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chatbot = gr.ChatInterface( |
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fn=chatbot_submit, |
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inputs=[gr.Textbox(label="Your Message"), chat_history_state_ui, chat_history_state_api, system_msg, max_tokens, temperature, top_p], |
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outputs=[gr.Text(label="Assistant Response"), chat_history_state_ui, chat_history_state_api], |
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title="Chatbot Interface" |
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) |
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demo.launch() |