Spaces:
Runtime error
Runtime error
File size: 1,189 Bytes
9083c84 dd9022d a5d600a 37d7b31 dd9022d bd6aadd a5d600a bd6aadd 42c37e7 5106cd4 bd6aadd 5106cd4 bd6aadd 5106cd4 bd6aadd 5106cd4 bd6aadd 5106cd4 bd6aadd 3ee0620 4cf0f40 5106cd4 59c458c 95eb069 a5d600a 4cf0f40 bd6aadd 5106cd4 24a063c a5d600a 5106cd4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import gradio as gr
import json
import os
from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
from langchain import OpenAI
import sys
from IPython.display import Markdown, display
def construct_index(directory_path):
max_input_size = 4096
num_outputs = 2000
max_chunk_overlap = 20
chunk_size_limit = 600
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
construct_index("data")
def ask_ai(question,api):
if api == "":
os.environ["OPENAI_API_KEY"] = "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"
index = GPTSimpleVectorIndex.load_from_disk('index.json')
response = index.query(question, response_mode="compact")
return response.response
#os.environ["OPENAI_API_KEY"] = "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"
api_key = gr.inputs.Textbox(label="OpenAI API Key")
iface = gr.Interface(fn=ask_ai, inputs=["text", api_key], outputs="text", title="Chatbot")
iface.launch() |