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Update app.py
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app.py
CHANGED
@@ -4,7 +4,7 @@ import logging, os, sys, threading
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from datasets import load_dataset
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#from dotenv import load_dotenv, find_dotenv
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from custom_utils import connect_to_database, handle_user_prompt
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#from pydantic import BaseModel
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#from typing import Optional
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@@ -33,39 +33,10 @@ def invoke(openai_api_key, prompt, rag_option):
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raise gr.Error("Retrieval-Augmented Generation is required.")
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with lock:
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prompt = """
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I want to stay in a place that's warm and friendly,
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and not too far from resturants, can you recommend a place?
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Include a reason as to why you've chosen your selection.
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"""
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"""
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print("111")
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dataset = load_dataset("MongoDB/airbnb_embeddings", streaming=True, split="train")
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#dataset = dataset.take(100)
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print("222")
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# Convert the dataset to a pandas dataframe
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dataset_df = pd.DataFrame(dataset)
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#dataset_df.head(5)
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#print("Columns:", dataset_df.columns)
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listings = process_records(dataset_df)
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print("333")
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"""
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print("444")
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db, collection = connect_to_database()
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collection.insert_many(listings)
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print("Data ingestion into MongoDB completed")
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print("555")
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print("666")
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# Not available in free tier
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#setup_vector_search_index(collection=collection)
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"""
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"""
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print("777")
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@@ -90,10 +61,12 @@ def invoke(openai_api_key, prompt, rag_option):
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gr.close_all()
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demo = gr.Interface(
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fn = invoke,
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inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1),
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gr.Textbox(label = "Prompt", value =
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gr.Radio([RAG_OFF, RAG_NAIVE, RAG_ADVANCED], label = "Retrieval-Augmented Generation", value = RAG_ADVANCED)],
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outputs = [gr.Markdown(label = "Completion")],
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title = "Context-Aware Reasoning Application",
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from datasets import load_dataset
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#from dotenv import load_dotenv, find_dotenv
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from custom_utils import connect_to_database, rag_ingestion, handle_user_prompt
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#from pydantic import BaseModel
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#from typing import Optional
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raise gr.Error("Retrieval-Augmented Generation is required.")
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with lock:
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db, collection = connect_to_database()
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if (RAG_INGESTION):
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rag_ingestion(collection)
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"""
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print("777")
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gr.close_all()
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PROMPT = "I want to stay in a place that's warm and friendly, and not too far from restaurants."
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demo = gr.Interface(
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fn = invoke,
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inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1),
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gr.Textbox(label = "Prompt", value = PROMPT, lines = 1),
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gr.Radio([RAG_OFF, RAG_NAIVE, RAG_ADVANCED], label = "Retrieval-Augmented Generation", value = RAG_ADVANCED)],
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outputs = [gr.Markdown(label = "Completion")],
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title = "Context-Aware Reasoning Application",
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