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Runtime error
| # coding=utf8 | |
| from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper | |
| from langchain import OpenAI | |
| import gradio as gr | |
| import sys | |
| import os | |
| os.environ["OPENAI_API_KEY"] = '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' | |
| def construct_index(directory_path): | |
| max_input_size = 4096 | |
| num_outputs = 512 | |
| max_chunk_overlap = 20 | |
| chunk_size_limit = 600 | |
| prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit) | |
| llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="text-davinci-003", max_tokens=num_outputs)) | |
| documents = SimpleDirectoryReader(directory_path).load_data() | |
| index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper) | |
| index.save_to_disk('index.json') | |
| return index | |
| def chatbot(input_text): | |
| index = GPTSimpleVectorIndex.load_from_disk('index.json') | |
| response = index.query(input_text, response_mode="compact") | |
| return response.response | |
| iface = gr.Interface(fn=chatbot, | |
| inputs=gr.inputs.Textbox(lines=3, label="O quê gostaria de saber?"), | |
| outputs=gr.inputs.Textbox(lines=3, label="Veja o que encontrei"), | |
| title="CD2 IA") | |
| index = construct_index("docs") | |
| iface.launch(share=True) | |