VOX_RAG1.0 / app.py
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import os
import gradio as gr
from embedchain import App
import os
#Initializing the Embedchain application with open source configuration
config = {
'llm': {
'provider': 'huggingface',
'config': {
'model': 'mistralai/Mistral-7B-Instruct-v0.2',
'top_p': 0.5
}
},
'embedder': {
'provider': 'huggingface',
'config': {
'model': 'sentence-transformers/all-mpnet-base-v2'
}
}
}
app = App.from_config(config=config)
# Add data to the app
app.add("https://voxiitk.com/scrapping-of-galaxy24/")
app.add("https://voxiitk.com/administration-responds-to-students-senates-demands/")
app.add("https://voxiitk.com/yeh-hall-ab-13-na-raha/")
app.add("https://voxiitk.com/girls-protest-at-directors-residence/")
app.add("https://www.iitk.ac.in/doaa/data/UG-Manual.pdf")
def query(message, history):
return app.query(message)
demo = gr.ChatInterface(query)
demo.launch()