Delete app.py

app.py

@@ -1,72 +0,0 @@
-import gradio as gr
-import pandas as pd
-from transformers import (
-    AutoModelForSeq2SeqLM,
-    AutoModelForTableQuestionAnswering,
-    AutoTokenizer,
-    pipeline,
-)
-
-model_tapex = "microsoft/tapex-large-finetuned-wtq"
-tokenizer_tapex = AutoTokenizer.from_pretrained(model_tapex)
-model_tapex = AutoModelForSeq2SeqLM.from_pretrained(model_tapex)
-pipe_tapex = pipeline(
-    "table-question-answering", model=model_tapex, tokenizer=tokenizer_tapex
-)
-
-model_tapas = "google/tapas-large-finetuned-wtq"
-tokenizer_tapas = AutoTokenizer.from_pretrained(model_tapas)
-model_tapas = AutoModelForTableQuestionAnswering.from_pretrained(model_tapas)
-pipe_tapas = pipeline(
-    "table-question-answering", model=model_tapas, tokenizer=tokenizer_tapas
-)
-
-
-def process(query, file, correct_answer, rows=20):
-    table = pd.read_csv(file.name, header=0).astype(str)
-    table = table[:rows]
-    result_tapex = pipe_tapex(table=table, query=query)
-    result_tapas = pipe_tapas(table=table, query=query)
-    return result_tapex["answer"], result_tapas["answer"], correct_answer
-
-
-# Inputs
-query_text = gr.Text(label="Enter a question")
-input_file = gr.File(label="Upload a CSV file", type="file")
-rows_slider = gr.Slider(label="Number of rows")
-
-# Output
-answer_text_tapex = gr.Text(label="TAPEX answer")
-answer_text_tapas = gr.Text(label="TAPAS answer")
-
-description = "This Space lets you ask questions on CSV documents with Microsoft [TAPEX-Large](https://huggingface.co/microsoft/tapex-large-finetuned-wtq) and Google [TAPAS-Large](https://huggingface.co/google/tapas-large-finetuned-wtq). \
-Both have been fine-tuned on the [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions) dataset. \n\n\
-A sample file with football statistics is available in the repository: \n\n\
-* Which team has the most wins? Answer: Manchester City FC\n\
-* Which team has the most wins: Chelsea, Liverpool or Everton? Answer: Liverpool\n\
-* Which teams have scored less than 40 goals? Answer: Cardiff City FC, Fulham FC, Brighton & Hove Albion FC, Huddersfield Town FC\n\
-* What is the average number of wins? Answer: 16 (rounded)\n\n\
-You can also upload your own CSV file. Please note that maximum sequence length for both models is 1024 tokens, \
-so you may need to limit the number of rows in your CSV file. Chunking is not implemented yet."
-
-iface = gr.Interface(
-    theme="huggingface",
-    description=description,
-    layout="vertical",
-    fn=process,
-    inputs=[query_text, input_file, rows_slider],
-    outputs=[answer_text_tapex, answer_text_tapas],
-    examples=[
-        ["Which team has the most wins?", "default_file.csv", 20],
-        [
-            "Which team has the most wins: Chelsea, Liverpool or Everton?",
-            "default_file.csv",
-            20,
-        ],
-        ["Which teams have scored less than 40 goals?", "default_file.csv", 20],
-        ["What is the average number of wins?", "default_file.csv", 20],
-    ],
-    allow_flagging="never",
-)
-
-iface.launch()