import gradio as gr from hf_mixtral_agent import agent_executor from innovation_pathfinder_ai.source_container.container import ( all_sources ) from innovation_pathfinder_ai.utils import collect_urls if __name__ == "__main__": def add_text(history, text): history = history + [(text, None)] return history, "" def bot(history): response = infer(history[-1][0], history) sources = collect_urls(all_sources) src_list = '\n'.join(sources) response_w_sources = response['output']+"\n\n\n Sources: \n\n\n"+src_list history[-1][1] = response_w_sources return history def infer(question, history): query = question result = agent_executor.invoke( { "input": question, "chat_history": history } ) return result def vote(data: gr.LikeData): if data.liked: print("You upvoted this response: " + data.value) else: print("You downvoted this response: " + data.value) css=""" #col-container {max-width: 700px; margin-left: auto; margin-right: auto;} """ title = """

Hello Dave, how can I help today?

""" with gr.Blocks(theme=gr.themes.Soft()) as demo: with gr.Tab("Google|Wikipedia|Arxiv"): with gr.Column(elem_id="col-container"): gr.HTML(title) with gr.Row(): question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter ") chatbot = gr.Chatbot([], elem_id="chatbot") chatbot.like(vote, None, None) clear = gr.Button("Clear") question.submit(add_text, [chatbot, question], [chatbot, question], queue=False).then( bot, chatbot, chatbot ) clear.click(lambda: None, None, chatbot, queue=False) demo.queue() demo.launch(debug=True, share=True) x = 0 # for debugging purposes