added app.py, gitignore

.gitignore

@@ -0,0 +1,22 @@
+# Ignore all .log files
+*.log
+
+# Ignore the node_modules directory
+node_modules/
+
+# Ignore specific file
+config/secrets.yml
+
+# Ignore all `.env` files
+.env
+myenv/
+venv/
+
+# Ignore all `.txt` files in any directory
+**/*.txt
+
+# Ignore all files in a specific folder
+build/
+
+# Do not ignore a specific file inside an ignored directory
+!build/keep-me.txt

app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+import requests
+import redis
+import psycopg2
+
+# Redis Connection
+redis_client = redis.Redis(host='redis-19703.c289.us-west-1-2.ec2.redns.redis-cloud.com', port=19703, db=0, decode_responses=True)
+
+# PostgreSQL Connection
+conn = psycopg2.connect(database="screening_db", user="user", password="password", host="localhost", port="5432")
+cursor = conn.cursor()
+
+HF_API_URL = "https://api-inference.huggingface.co/models/your-hf-model-id"
+
+st.title("AI Candidate Screening")
+
+resume_text = st.text_area("Paste Candidate Resume")
+
+if st.button("Analyze Resume"):
+    cache_key = f"resume:{resume_text[:20]}"  # Hash first 20 chars
+    cached_response = redis_client.get(cache_key)
+    
+    if cached_response:
+        st.write("Cached Response:", cached_response)
+    else:
+        response = requests.post(HF_API_URL, json={"inputs": resume_text}).json()
+        redis_client.set(cache_key, response, ex=3600)  # Cache for 1 hour
+        
+        # Store result in PostgreSQL
+        cursor.execute("INSERT INTO screenings (resume_text, result) VALUES (%s, %s)", (resume_text, response))
+        conn.commit()
+
+        st.write("AI Response:", response)