Create job_recommendations.py

job_recommendations.py

@@ -0,0 +1,29 @@
+# job_recommendations.py
+
+import streamlit as st
+
+def job_recommendations_page():
+    st.header("Job Recommendations")
+
+    uploaded_file = st.file_uploader("Upload your resume (PDF format):", type="pdf")
+
+    if uploaded_file:
+        resume_text = extract_text_from_pdf(uploaded_file)
+        if resume_text:
+            st.success("Resume uploaded successfully!")
+            # Fetch job recommendations
+            st.subheader("Recommended Jobs")
+            jobs = get_job_recommendations(resume_text)
+            for job in jobs:
+                st.write(f"**{job['title']}** at {job['company']}")
+                st.write(f"[Apply Here]({job['link']})")
+        else:
+            st.error("Failed to extract text from resume.")
+
+def get_job_recommendations(resume_text):
+    # Implement job fetching logic
+    # This is a placeholder example
+    return [
+        {"title": "Data Scientist", "company": "TechCorp", "link": "https://example.com/job1"},
+        {"title": "Machine Learning Engineer", "company": "InnovateX", "link": "https://example.com/job2"},
+    ]