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import streamlit as st
import requests
from typing import Dict, List
import os
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Page config
st.set_page_config(
page_title="100xEngineers Discovery Platform",
page_icon="π",
layout="wide",
initial_sidebar_state="expanded"
)
# API client setup
class APIClient:
def __init__(self):
# Get the Hugging Face Space URL from environment or use localhost
space_id = os.getenv("SPACE_ID") # Hugging Face Spaces provides this automatically
if space_id:
# In Hugging Face Spaces, the FastAPI service will be available at port 7860
self.base_url = f"https://{space_id}.hf.space" # Remove /api from base_url
else:
# Local development
self.base_url = "http://localhost:8000"
st.sidebar.text(f"API URL: {self.base_url}")
def _handle_response(self, response):
if response.ok:
return response.json()
st.error(f"Error: {response.status_code} - {response.text}")
return None
def get(self, endpoint: str):
try:
# Add /api prefix to all endpoints
response = requests.get(f"{self.base_url}/api{endpoint}")
return self._handle_response(response)
except Exception as e:
st.error(f"API Error: {str(e)}")
return None
api = APIClient()
def create_profile(profile_data: dict):
# Validate and clean the data before sending
if profile_data.get("portfolio_url"):
url = profile_data["portfolio_url"].strip()
if not (url.startswith("http://") or url.startswith("https://")):
url = f"https://{url}"
try:
# Basic URL validation
if not url.replace("https://", "").replace("http://", ""):
profile_data.pop("portfolio_url", None)
else:
profile_data["portfolio_url"] = url
except Exception:
profile_data.pop("portfolio_url", None)
else:
profile_data.pop("portfolio_url", None)
try:
response = requests.post(f"{api.base_url}/api/profiles", json=profile_data)
if response.status_code == 422:
error_detail = response.json().get('detail', [])
if isinstance(error_detail, list):
for error in error_detail:
st.error(f"Validation Error: {error.get('msg')}")
else:
st.error(f"Validation Error: {error_detail}")
return None
elif not response.ok:
st.error(f"Server Error: {response.status_code}")
return None
return response.json()
except requests.exceptions.ConnectionError:
st.error("Could not connect to the server. Please make sure the backend is running.")
return None
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
return None
def search_profiles(query: str):
try:
response = requests.post(
f"{api.base_url}/api/search",
json={"query": query}
)
if not response.ok:
if response.status_code == 422:
st.error("Invalid search query format")
else:
st.error(f"Search failed with status code: {response.status_code}")
return []
return response.json()
except requests.exceptions.ConnectionError:
st.error("Could not connect to the server. Please make sure the backend is running.")
return []
except Exception as e:
st.error(f"An unexpected error occurred during search: {str(e)}")
return []
def list_profiles():
try:
response = requests.get(f"{api.base_url}/api/profiles")
if not response.ok:
st.error(f"Failed to fetch profiles: {response.status_code}")
return []
return response.json()
except requests.exceptions.ConnectionError:
st.error("Could not connect to the server. Please make sure the backend is running.")
return []
except Exception as e:
st.error(f"An unexpected error occurred while fetching profiles: {str(e)}")
return []
# UI Components
st.title("100xEngineers Discovery Platform π")
# Sidebar navigation
page = st.sidebar.radio("Navigation", ["Search Profiles", "Create Profile", "View All Profiles"])
if page == "Create Profile":
st.header("Create Your Profile")
with st.form("profile_form"):
name = st.text_input("Name", help="Enter your full name (minimum 2 characters)")
technical_skills = st.text_input("Technical Skills (comma-separated)",
help="Enter your technical skills, separated by commas")
projects = st.text_input("Projects (comma-separated)",
help="List your notable projects, separated by commas")
ai_expertise = st.text_input("AI Expertise (comma-separated)",
help="List your AI-related skills and expertise")
mentoring_preferences = st.text_area("Mentoring Preferences",
help="Describe your mentoring preferences (minimum 10 characters)")
collaboration_interests = st.text_input("Collaboration Interests (comma-separated)",
help="List your interests for collaboration")
portfolio_url = st.text_input("Portfolio URL",
help="Enter your portfolio URL (optional)")
submitted = st.form_submit_button("Create Profile")
if submitted:
if len(name.strip()) < 2:
st.error("Name must be at least 2 characters long")
elif len(mentoring_preferences.strip()) < 10:
st.error("Mentoring preferences must be at least 10 characters long")
else:
profile_data = {
"name": name.strip(),
"technical_skills": [s.strip() for s in technical_skills.split(",") if s.strip()],
"projects": [p.strip() for p in projects.split(",") if p.strip()],
"ai_expertise": [a.strip() for a in ai_expertise.split(",") if a.strip()],
"mentoring_preferences": mentoring_preferences.strip(),
"collaboration_interests": [c.strip() for c in collaboration_interests.split(",") if c.strip()],
"portfolio_url": portfolio_url.strip() if portfolio_url.strip() else None
}
if profile := create_profile(profile_data):
st.success("Profile created successfully!")
st.json(profile)
elif page == "Search Profiles":
st.header("Search Profiles")
st.markdown("""
Search for engineers using natural language. Examples:
- "Find someone experienced in machine learning and NLP"
- "Looking for a mentor in backend development"
- "Need a collaborator for an open source AI project"
""")
query = st.text_input("Enter your search query in natural language")
if query:
results = search_profiles(query)
if results:
st.subheader(f"Found {len(results)} matches")
for result in results:
profile = result['profile']
explanation = result['explanation']
with st.expander(f"{profile['name']}"):
# Display match explanation
st.markdown(f"**Match Analysis:**\n{explanation}")
st.markdown("---")
# Display profile details
st.write("**Technical Skills:**", ", ".join(profile["technical_skills"]))
st.write("**AI Expertise:**", ", ".join(profile["ai_expertise"]))
st.write("**Projects:**", ", ".join(profile["projects"]))
st.write("**Mentoring Preferences:**", profile["mentoring_preferences"])
st.write("**Collaboration Interests:**", ", ".join(profile["collaboration_interests"]))
if profile.get("portfolio_url"):
st.write("**Portfolio:**", profile["portfolio_url"])
else:
st.info("No matching profiles found. Try adjusting your search query.")
else: # View All Profiles
st.header("All Profiles")
profiles = list_profiles()
if profiles:
for profile in profiles:
with st.expander(f"{profile['name']}"):
st.write("**Technical Skills:**", ", ".join(profile["technical_skills"]))
st.write("**AI Expertise:**", ", ".join(profile["ai_expertise"]))
st.write("**Projects:**", ", ".join(profile["projects"]))
st.write("**Mentoring Preferences:**", profile["mentoring_preferences"])
st.write("**Collaboration Interests:**", ", ".join(profile["collaboration_interests"]))
if profile.get("portfolio_url"):
st.write("**Portfolio:**", profile["portfolio_url"])
else:
st.info("No profiles found. Create one to get started!")
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