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File size: 2,606 Bytes
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import streamlit as st
import random
import time
import git
import os
from google.api_core.exceptions import InternalServerError
flag = False
repo = st.text_input(label="Paste the .git link of repository.")
btn = st.button(label="Submit")
def clone_repo(repo):
if os.path.exists("githubCode") and os.path.isdir("githubCode"):
print("File already exists!!")
pass
else:
print("Cloning repo!!")
git.Repo.clone_from(repo,"githubCode")
if btn and not flag:
clone_repo(repo=repo)
# if os.path.exists("githubCode") and os.path.isdir("githubCode"):
# print("File already exists!!")
# pass
# else:
# git.Repo.clone_from(repo,"githubCode")
flag = True
# def response_generator():
# response = random.choice(
# [
# "Hello there! How can I assist you today?",
# "Hi, human! Is there anything I can help you with?",
# "Do you need help?",
# ]
# )
# for word in response.split():
# yield word + " "
# time.sleep(0.05)
st.title("Nile")
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Accept user input
if prompt := st.chat_input("What's your question ?"):
from util import generate_assistant_response
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Display assistant response in chat message container
with st.chat_message("assistant"):
try:
response = generate_assistant_response(prompt)
except InternalServerError as err:
retry_attempts = 0
MAX_RETRIES = 2
if retry_attempts < MAX_RETRIES:
retry_attempts += 1
time.sleep(2)
response = generate_assistant_response(prompt)
else:
# If retries are exhausted, log the error for further investigation
response = "500 An internal error has occurred. Please retry or report in https://developers.generativeai.google/guide/troubleshooting"
print(response)
st.markdown(response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
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