update

app.py

@@ -85,53 +85,54 @@ def show_info(topic):
     }
     return responses.get(topic, "Select a category to see the corresponding careers.")
 
-# Resources Page Info (HTML + Embedded Video)
+# Resources Page Info
 def resource_block(career):
     resources = {
         "AI/Machine Learning Engineer": {
             "links": [
-                ("DeepLearning.AI", "https://www.deeplearning.ai"),
-                ("Fast.ai", "https://www.fast.ai"),
-                ("Stanford CS229", "https://cs229.stanford.edu/")
+                ("Neural Networks – DeepLearning.AI", "https://www.deeplearning.ai"),
+                ("Build ML Models – Fast.ai", "https://www.fast.ai"),
+                ("ML Theory – Stanford CS229", "https://cs229.stanford.edu/")
             ],
             "video": "https://www.youtube.com/embed/5NgNicANyqM"
         },
         "Data Scientist": {
             "links": [
-                ("Kaggle Learn", "https://www.kaggle.com/learn"),
-                ("Harvard Data Science", "https://online-learning.harvard.edu/series/data-science"),
-                ("DataCamp", "https://www.datacamp.com")
+                ("Python & Pandas – Kaggle Learn", "https://www.kaggle.com/learn"),
+                ("R Programming – Harvard Data Science", "https://online-learning.harvard.edu/series/data-science"),
+                ("Project Practice – DataCamp", "https://www.datacamp.com")
             ],
             "video": "https://www.youtube.com/embed/xC-c7E5PK0Y"
         },
         "Cloud Solutions Architect": {
             "links": [
-                ("AWS Training", "https://aws.amazon.com/training/"),
-                ("Azure Certifications", "https://learn.microsoft.com/en-us/certifications/"),
-                ("Google Cloud Boost", "https://cloudskillsboost.google/")
+                ("AWS Skills – AWS Training", "https://aws.amazon.com/training/"),
+                ("Azure Certs – Microsoft Learn", "https://learn.microsoft.com/en-us/certifications/"),
+                ("GCP Labs – Google Cloud Boost", "https://cloudskillsboost.google/")
             ],
             "video": "https://www.youtube.com/embed/Y1OVgGIGvfc"
         },
         "Cybersecurity Analyst": {
             "links": [
-                ("Cybrary", "https://www.cybrary.it"),
-                ("MITRE ATT&CK", "https://attack.mitre.org/"),
-                ("TryHackMe", "https://tryhackme.com")
+                ("Network Security – Cybrary", "https://www.cybrary.it"),
+                ("Threat Intel – MITRE ATT&CK", "https://attack.mitre.org/"),
+                ("Ethical Hacking – TryHackMe", "https://tryhackme.com")
             ],
             "video": "https://www.youtube.com/embed/9fWjKkFvQxg"
         },
         "Statisticians": {
             "links": [
-                ("Statistics with R (Coursera)", "https://www.coursera.org/specializations/statistics"),
-                ("Khan Academy Statistics", "https://www.khanacademy.org/math/statistics-probability")
+                ("Intro to Stats – Coursera (R)", "https://www.coursera.org/specializations/statistics"),
+                ("Probability – Khan Academy", "https://www.khanacademy.org/math/statistics-probability"),
+                ("Statistical Tools – OpenIntro", "https://www.openintro.org/book/os/")
             ],
             "video": "https://www.youtube.com/embed/xxpc-HPKN28"
         },
         "Biomedical Engineer": {
             "links": [
-                ("Johns Hopkins BME", "https://www.bme.jhu.edu/"),
-                ("edX Biomedical Courses", "https://www.edx.org/learn/biomedical-engineering"),
-                ("NIH Biomedical Research", "https://www.nih.gov/")
+                ("Biomedical Research – JHU BME", "https://www.bme.jhu.edu/"),
+                ("Medical Devices – edX Courses", "https://www.edx.org/learn/biomedical-engineering"),
+                ("Clinical Trials – NIH", "https://www.nih.gov/")
             ],
             "video": "https://www.youtube.com/embed/NM5EekDaF3g"
         }
@@ -142,8 +143,8 @@ def resource_block(career):
         return "Select a career to see resources.", ""
 
     link_html = "<ul>"
-    for name, url in content["links"]:
-        link_html += f'<li><a href="{url}" target="_blank">{name}</a></li>'
+    for label, url in content["links"]:
+        link_html += f'<li><strong>{label}</strong>: <a href="{url}" target="_blank">{url}</a></li>'
     link_html += "</ul>"
 
     video_iframe = f"""
@@ -168,7 +169,7 @@ with gr.Blocks(theme=theme, css=custom_css) as chatbot:
                 description="This tool provides information on STEM Careers."
             )
 
-        with gr.Tab("Explore Page"): 
+        with gr.Tab("Explore Now"):  # ✅ Changed title
             gr.Markdown("### Explore STEM Career Categories")
             dropdown_explore = gr.Dropdown(
                 choices=[
@@ -205,5 +206,3 @@ with gr.Blocks(theme=theme, css=custom_css) as chatbot:
             )
 
 chatbot.launch()
-
-