import gradio as gr import os import requests import json entire_assistant_response = "" def get_streamed_response(message, history): all_message = [{ "role": "system", "content": "You are BibleLearnerAI, a Christian Bible AI, you know the bible more than anything else. You focus on religion, believing in Christianity as truth, and provide relevant Bible verses. When greeted, respond with a religious greeting and introduce yourself. Use MD highlighting to make easyer to read." }] for human, assistant in history: all_message.append({"role": "user", "content": human }) all_message.append({"role": "assistant", "content":assistant}) global entire_assistant_response entire_assistant_response = "" # Reset the entire assistant response all_message.append({"role": "user", "content": message}) url = "https://api.together.xyz/v1/chat/completions" payload = { "model": "NousResearch/Nous-Hermes-2-Yi-34B", "temperature": 1.05, "top_p": 0.9, "top_k": 50, "repetition_penalty": 1, "n": 1, "messages": all_message, "stream_tokens": True, } TOGETHER_API_KEY = os.getenv('TOGETHER_API_KEY') headers = { "accept": "application/json", "content-type": "application/json", "Authorization": f"Bearer {TOGETHER_API_KEY}", } response = requests.post(url, json=payload, headers=headers, stream=True) response.raise_for_status() # Ensure HTTP request was successful for line in response.iter_lines(): if line: decoded_line = line.decode('utf-8') # Check for the completion signal if decoded_line == "data: [DONE]": yield entire_assistant_response # Yield the entire response at the end break try: # Decode and strip any SSE format specific prefix ("data: ") if decoded_line.startswith("data: "): decoded_line = decoded_line.replace("data: ", "") chunk_data = json.loads(decoded_line) content = chunk_data['choices'][0]['delta']['content'] entire_assistant_response += content # Aggregate content yield entire_assistant_response except json.JSONDecodeError: print(f"Invalid JSON received: {decoded_line}") continue except KeyError as e: print(f"KeyError encountered: {e}") continue print(entire_assistant_response) all_message.append({"role": "assistant", "content": entire_assistant_response}) gr.ChatInterface(fn=get_streamed_response, title="Bible learner AI", description="Get deep insights and learn more about the bible today.", retry_btn="Regenerate 🔁").launch()