Spaces:
Sleeping
Sleeping
File size: 3,335 Bytes
b0fe809 f9e16d6 b0fe809 f9e16d6 b0fe809 6b56fd3 b0fe809 6b56fd3 b0fe809 f9e16d6 3b899cf f9e16d6 6b56fd3 f9e16d6 b0fe809 f9e16d6 b0fe809 f9e16d6 b0fe809 47e94f8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
import gradio as gr
import requests
import openai # We will use OpenAI's API to generate the descriptions
# OpenAI API Key (You need to set your API key here)
openai.api_key = "your-openai-api-key-here"
# Function to generate AI-based description for each contributor
def generate_contributor_description(contributor_name, contributions):
prompt = f"Generate an in-depth analysis of the contribution of {contributor_name} to a GitHub repository, with {contributions} commits. Focus on the impact, type of contributions, and significance of their work."
response = openai.Completion.create(
engine="text-davinci-003", # Use the appropriate model for text generation
prompt=prompt,
max_tokens=150,
temperature=0.7
)
return response.choices[0].text.strip()
# Function to fetch repository details from GitHub and generate descriptions for contributors
def analyze_github_repo(repo_url):
# Extract the username and repo name from the GitHub URL
if "github.com" not in repo_url:
return "Please provide a valid GitHub repository URL."
parts = repo_url.split('/')
if len(parts) < 5:
return "URL should be in the format: https://github.com/username/repository"
user, repo = parts[3], parts[4]
# GitHub API endpoint to get repository details
api_url = f"https://api.github.com/repos/{user}/{repo}"
response = requests.get(api_url)
# Check if repository exists
if response.status_code == 404:
return "Repository not found."
# Parse the response
data = response.json()
# Extract relevant information
stars = data.get('stargazers_count', 'N/A')
forks = data.get('forks_count', 'N/A')
issues = data.get('open_issues_count', 'N/A')
contributors_url = data.get('contributors_url', None)
# Get number of contributors and their contributions (commit count)
contributors = []
if contributors_url:
contributors_data = requests.get(contributors_url).json()
for contributor in contributors_data:
contributors.append({
'login': contributor['login'],
'contributions': contributor['contributions']
})
# Prepare the text for repository details
result = f"Repository: {repo_url}\nStars: {stars}\nForks: {forks}\nOpen Issues: {issues}\n\nContributors' Contributions:\n"
# Add AI-generated descriptions for each contributor
for contributor in contributors:
contributor_name = contributor['login']
contributions = contributor['contributions']
description = generate_contributor_description(contributor_name, contributions)
result += f"{contributor_name} with {contributions} contributions: {description}\n"
return result
# Gradio interface for the tool
iface = gr.Interface(
fn=analyze_github_repo,
inputs=gr.Textbox(label="Enter GitHub Repository URL", placeholder="https://github.com/username/repository"),
outputs=gr.Textbox(label="Repository Analysis"),
title="GitHub Repository Analysis Tool",
description="Enter a GitHub repository URL to get an in-depth analysis of contributors' contributions using AI, including stars, forks, issues, and a detailed description of each contributor's work."
)
# Launch the app
iface.launch()
|