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| import streamlit as st | |
| import requests | |
| import pandas as pd | |
| from pandas import json_normalize | |
| import plotly.express as px | |
| def create_stargazers_count(user,repo): | |
| """this function creates the stargazers count dataframe""" | |
| star_count_url = "https://api.github.com/repos/"+user+"/"+repo | |
| response = requests.request("GET", star_count_url) | |
| total_star_count = response.json()['stargazers_count'] | |
| loops = int(total_star_count / 100) + 1 | |
| star_trends_url = "https://api.github.com/repos/"+user+"/"+repo+"/stargazers" | |
| star_trends_resp = [] | |
| headers = { | |
| "Accept": "application/vnd.github.v3.star+json", | |
| "content-type": "application/json" | |
| } | |
| for page in range(loops): | |
| response = requests.request("GET", star_trends_url+"?per_page=100"+"&page="+str(page+1), headers=headers).json() | |
| star_trends_resp.extend(response) | |
| df = json_normalize(star_trends_resp) | |
| df['starred_date'] = pd.to_datetime(df['starred_at']).dt.date | |
| star_trend_df = df.groupby(['starred_date'])['starred_date'].count().cumsum().reset_index(name="count") | |
| return star_trend_df | |
| st.title("⭐️ Github Star Tracking ⭐️") | |
| st.subheader("with interactive ⭐️ History chart") | |
| st.image("https://external-content.duckduckgo.com/iu/?u=https%3A%2F%2Fpngimg.com%2Fuploads%2Fgithub%2Fgithub_PNG93.png&f=1&nofb=1", | |
| width=200) | |
| st.markdown("### Github Repo Details") | |
| first,second = st.columns(2) | |
| with first: | |
| user = st.text_input(label="Enter the github user name", value = "amrrs") | |
| with second: | |
| repo = st.text_input(label="Enter the github repo name (without the user name)", value = "coinmarketcapr") | |
| st.write("You are going to see the star trends for this repo:" + user+"/"+repo +"/") | |
| with st.spinner("Downloading Data from Github.....Stars are coming....."): | |
| df = create_stargazers_count(user,repo) | |
| st.markdown("### Github Stars Trend") | |
| chart = px.line(data_frame=df, x = 'starred_date', y = 'count') | |
| st.plotly_chart(chart) |