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| import gradio as gr | |
| import os | |
| import time | |
| from openai import OpenAI | |
| # --- Configuration --- | |
| client = OpenAI( | |
| base_url="https://openrouter.ai/api/v1", | |
| api_key=os.environ.get("OPENROUTER_API_KEY"), | |
| ) | |
| REFERER_HEADER = "https://alphaai.org.in" | |
| TITLE_HEADER = "AlphaAI Chatbot" | |
| MODEL_NAME = "deepseek/deepseek-r1-0528-qwen3-8b:free" | |
| ALPHAAI_CONTEXT = os.environ.get("ALPHAAI_CONTEXT", "") | |
| # --- Chatbot Backend --- | |
| def chat_with_llm(user_input): | |
| try: | |
| input_fixed = "Stick to the context of Alpha AI and do not let the user deviate from that. If the query is anything other than Alpha AI, politely refuse. Here is the user query - " + str(user_input) | |
| completion = client.chat.completions.create( | |
| extra_headers={ | |
| "HTTP-Referer": REFERER_HEADER, | |
| "X-Title": TITLE_HEADER, | |
| }, | |
| model=MODEL_NAME, | |
| messages=[{"role": "system", "content": ALPHAAI_CONTEXT}, {"role": "user", "content": input_fixed}] | |
| ) | |
| return completion.choices[0].message.content | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| # --- Gradio UI --- | |
| theme = gr.themes.Base() | |
| with gr.Blocks(theme=theme) as demo: | |
| gr.Markdown("# 🧠 Alpha AI Assistant") | |
| gr.Markdown("Ask anything about Alpha AI.") | |
| chatbot = gr.Chatbot(type="messages") | |
| msg = gr.Textbox() | |
| clear = gr.Button("Clear") | |
| def user(user_message, history: list): | |
| return "", history + [{"role": "user", "content": user_message}] | |
| def bot(history: list): | |
| user_msg = history[-1]['content'] | |
| try: | |
| response = chat_with_llm(user_msg) | |
| except Exception as e: | |
| response = f"Error: {str(e)}" | |
| history.append({"role": "assistant", "content": ""}) | |
| for char in response: | |
| history[-1]['content'] += char | |
| time.sleep(0.02) | |
| yield history | |
| msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( | |
| bot, chatbot, chatbot | |
| ) | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| # Launch (required for Hugging Face Space) | |
| demo.launch() | |