rohitrajiit

import gradio as gr
import google.generativeai as genai

apikey = 'xxx'  # Replace with your key
genai.configure(api_key=apikey)

with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.ClearButton([msg, chatbot])

rohitrajiit

import gradio as gr
import google.generativeai as genai

apikey = 'xxx'  # Replace with your key
genai.configure(api_key=apikey)


with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()

rohitrajiit

import gradio as gr
from openai import OpenAI
import docx2txt
from langchain.document_loaders import TextLoader
from langchain.vectorstores import FAISS
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.document_loaders import PyPDFLoader
from langchain.document_loaders import Docx2txtLoader
import os
from langchain.embeddings import OpenAIEmbeddings

rohitrajiit

import gradio as gr
from openai import OpenAI
import docx2txt
import PyPDF2


api_key = "sk-"  # Replace with your key

def read_text_from_file(file_path):
    # Check the file type and read accordingly

rohitrajiit

import gradio as gr
from openai import OpenAI

api_key = "sk-"  # Replace with your key

with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.Button("Clear")
    filename = gr.File()

rohitrajiit

import gradio as gr
from openai import OpenAI

api_key = "sk-"  # Replace with your key

with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.Button("Clear")

rohitrajiit

import gradio as gr
from openai import OpenAI

api_key = "sk-"  # Replace with your key

with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.ClearButton([msg, chatbot])

rohitrajiit

import gradio as gr
from openai import OpenAI
import docx2txt
import PyPDF2


api_key = "sk-"  # Replace with your key

def read_text_from_file(file_path):
    # Check the file type and read accordingly

rohitrajiit

import requests
from bs4 import BeautifulSoup
import pandas as pd

def matchbymatch(id):
    urlformat = 'https://stats.espncricinfo.com/ci/engine/player/{}.html?class=2;template=results;type=allround;view=match'.format(id)
    page = requests.get(urlformat)
    bs = BeautifulSoup(page.content, 'lxml')
    rows = bs.find_all('tr',class_='data1')
    data = []

rohitrajiit

import os
from io import BytesIO
import tarfile
import tempfile
from six.moves import urllib

from matplotlib import gridspec
from matplotlib import pyplot as plt
import numpy as np
from PIL import Image