The ONLY Model that can take 10 000 records of table

All of "Table Question Answering" can take only <100 records.

This the only New model that can take: 100... up to 20 000 !!! records

Remarkable speed in generating human-readable queries.

The system can handle such complex Queries to table as:

java with rating above 4.7 and review num > 5k

Queries can contain:

Words and phrases - semantic AI LLM Search

want to see adventure movies about space
Numbers - prices, count, ratings filtering

all bananas with price < $2
Geo Locations - cities, countries, addresses

give me all Chinese restaurants near Boston
Dates - filter by date before and after

show me all AI event after Apr-2023

Web UI Example: Share My List. Huggingface Space example: Question Your Table no limit.

Model Details

Model Description

Developed by: Ivan
Funded by: Thanks to our sponsors, you can use it for Free.
Model type: Table Question Answering

Uses

Below are examples of uploading CSV files into the model and Answering your questions.

Upload file_name.csv to the API.
Start Queryin the file_name.csv .

UPLOAD your CSV

Example of Function to upload the CSV file_path:

def upload_file(file_path):
    try:
        api_url = "https://www.share-my-list.com/upload_647ngiuon550e840e29b41d4637644665544asdf00.html"
        # Open the file in binary mode
        with open(file_path, 'r') as file:
            # Use requests.post to send a POST request with the file
            response = requests.post(api_url, files={'file': file})

            # Check if the request was successful
            if response.status_code == 200:
                print("File uploaded successfully!")
            else:
                print("Failed to upload file. Status code:", response.status_code)
            return response
    except requests.RequestException as e:
        print("Error: uploading file." + e)
    return None

How to use in your test:

    # Pay attention your_file_name.csv is used for querying the data, not a full path
    file_name = "your_file_name.csv"
    path_to_file = "./path/to/your/file/" + file_name
    upload_response = upload_file(path_to_file)
    print("Response code: " + upload_response.status_code)

Start Question Answer your TABLE

Example of Function to Question Answer your table uploaded above:

def query_uploaded_table(file_name, query):
    try:
        url = "https://www.share-my-list.com/all_query_company_ds35647ngiuon550e840e29b41d46376446655440000.html"
        post_data = {"query_param": query, "db_name": file_name}
        response = requests.post(url, data=post_data)
        # Check if the request was successful (status code 200)
        if response.status_code == 200:
            print("Data read successfully!")
            return response.json()
        else:
            print("Error: reading data.")
    except requests.RequestException as e:
        print("Error: reading data." + e)
    return None

Example of usage:

    file_name = "your_file_name.csv"
    query = "all rings with price < 10"
    query_response = query_uploaded_table(file_name, query)
    print(query_response)

Direct Use

Testing "Table Question Answering" at any size for:

your services or products price list
events calendars Semantic Search
your best places, restaurants, courses - share with your friends

https://www.share-my-list.com/

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