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cfd509f | 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 40 41 42 43 44 45 46 47 48 49 50 51 52 | import gradio as gr
from ingest import configure_retriever
from chain import my_chain
def chatbot(input_text, history,uploaded_file):
if uploaded_file is not None:
ret=configure_retriever(uploaded_files=uploaded_file)
else:
ret =configure_retriever("")
response =my_chain(ret,input_text)
return response
demo = gr.ChatInterface(chatbot,
additional_inputs=[
gr.File(file_types=["pdf", "csv"], file_count="multiple")
],
title="RAG chain built using Langchain",
description="Upload your documents in the additional input section and enjoy",
)
demo.launch()
# import gradio as gr
# from ingest import configure_retriever
# from chain import my_chain
# def chatbot(input_text, uploaded_file):
# # Your chatbot logic here
# print("checkpoint1")
# if uploaded_file is not None:
# # Process the uploaded file (you can replace this with your own logic)
# ret=configure_retriever(uploaded_files=uploaded_file)
# response =my_chain(ret,input_text)
# return response
# iface = gr.Interface(
# fn=chatbot,
# inputs=[
# gr.Textbox(placeholder="Enter your text here"),
# gr.UploadButton("Click to Upload a File", file_types=["pdf", "csv"], file_count="multiple")
# ],
# outputs=gr.Textbox(label="Response")
# )
# iface.launch()
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