import gradio as gr from hf_mixtral_agent import agent_executor from innovation_pathfinder_ai.source_container.container import ( all_sources ) 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, } ) 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) def collect_urls(data_list): urls = [] for item in data_list: # Check if item is a string and contains 'link:' if isinstance(item, str) and 'link:' in item: start = item.find('link:') + len('link: ') end = item.find(',', start) url = item[start:end if end != -1 else None].strip() urls.append(url) # Check if item is a dictionary and has 'Entry ID' elif isinstance(item, dict) and 'Entry ID' in item: urls.append(item['Entry ID']) return urls css=""" #col-container {max-width: 700px; margin-left: auto; margin-right: auto;} """ title = """
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