Update app.py

app.py

@@ -15,14 +15,6 @@ def generate_job_database() -> List[Dict]:
              "skills": ["Python", "Java", "JavaScript", "Git", "Agile", "Problem Solving"]},
             {"title": "Data Scientist", "desc": "Analyze complex data to extract business insights",
              "skills": ["Python", "R", "Machine Learning", "SQL", "Statistics", "Pandas"]},
-            {"title": "DevOps Engineer", "desc": "Manage infrastructure and deployment pipelines",
-             "skills": ["AWS", "Docker", "Kubernetes", "Linux", "Python", "Terraform"]},
-            {"title": "Frontend Developer", "desc": "Create user interfaces and web experiences",
-             "skills": ["JavaScript", "React", "CSS", "HTML", "TypeScript", "Responsive Design"]},
-            {"title": "Backend Developer", "desc": "Build server-side applications and APIs",
-             "skills": ["Python", "Node.js", "Django", "PostgreSQL", "REST APIs", "MongoDB"]},
-            {"title": "Mobile Developer", "desc": "Develop applications for mobile platforms",
-             "skills": ["React Native", "Swift", "Kotlin", "Flutter", "iOS", "Android"]},
         ],
         "Healthcare": [
             {"title": "Registered Nurse", "desc": "Provide patient care and medical support",
@@ -126,20 +118,22 @@ def recommend_jobs(user_skills, top_k=5):
     return top_jobs[['title', 'description', 'requirements', 'experience_level', 'category', 'location']]
 
 # ------------------------------
-# 4. Gradio Interface
+# 4. Gradio Interface (v4.44.0 compatible)
 # ------------------------------
 def gradio_interface(skills_text):
     user_skills = [skill.strip() for skill in skills_text.split(",")]
     recommended = recommend_jobs(user_skills)
     return recommended.to_dict(orient="records")
 
-app = gr.Interface(
-    fn=gradio_interface,
-    inputs=gr.Textbox(lines=2, placeholder="Enter your skills separated by commas"),
-    outputs=gr.Dataframe(headers=["Title", "Description", "Skills", "Experience", "Category", "Location"]),
-    title="AI Job Finder",
-    description="Enter your skills and find the best matching jobs!"
-)
+with gr.Blocks() as app:
+    gr.Markdown("# AI Job Finder")
+    gr.Markdown("Enter your skills (comma-separated) to find the best matching jobs!")
+    
+    skills_input = gr.Textbox(lines=2, placeholder="Python, SQL, Machine Learning")
+    results_output = gr.Dataframe(headers=["Title", "Description", "Skills", "Experience", "Category", "Location"])
+    
+    btn = gr.Button("Find Jobs")
+    btn.click(fn=gradio_interface, inputs=skills_input, outputs=results_output)
 
 if __name__ == "__main__":
     app.launch()