Refactor parameter names for clarity: update 'cv_pdf' to 'profile_pdf' in main, Assistant, and get_interface functions

app.py

@@ -4,8 +4,8 @@ from src.__main__ import main
 
 
 name = "Carlos Bazaga"
-cv_pdf = "linkedin.pdf"
-summary_txt = "summary.txt"
+profile_pdf = "Profile.pdf"
+summary_text = "Summary.md"
 repo_id = "Carbaz/career_datastore"
 
 # HBD: We assign the 'app' to 'demo' to allow watch autoreload:
@@ -13,4 +13,4 @@ repo_id = "Carbaz/career_datastore"
 # Initial warnings may appear at launch with 'gradio app.py' because 'demo' will not
 # exists until the app service ends inside main, but it will do when reload requires it,
 # once the service has been stopped.
-demo = main(name, cv_pdf, summary_txt, repo_id)
+demo = main(name, profile_pdf, summary_text, repo_id)

src/__main__.py

@@ -10,10 +10,10 @@ from .interface import get_interface
 _logger = getLogger(__name__)
 
 
-def main(name, cv_pdf, summary_text, repo_id):
+def main(name, profile_pdf, summary_text, repo_id):
     """Launch the AI Career Digital Twin application."""
     _logger.info('STARTING AI CAREER DIGITAL TWIN...')
-    app = get_interface(name, cv_pdf, summary_text, repo_id)
+    app = get_interface(name, profile_pdf, summary_text, repo_id)
     app.launch(footer_links=["gradio"])
     # We return the app instance for potential use in autoreload scenarios.
     return app
@@ -21,7 +21,7 @@ def main(name, cv_pdf, summary_text, repo_id):
 
 if __name__ == '__main__':
     name = "Carlos Bazaga"
-    cv_pdf = "linkedin.pdf"
-    summary_text = "summary.md"
+    profile_pdf = "Profile.pdf"
+    summary_text = "Summary.md"
     repo_id = "Carbaz/career_datastore"
-    main(name, cv_pdf, summary_text, repo_id)
+    main(name, profile_pdf, summary_text, repo_id)

src/assistant.py

@@ -21,14 +21,14 @@ CHAT_MODEL = getenv("CHAT_MODEL", "gpt-5-mini")
 class Assistant:
     """Class representing myself for the chatbot."""
 
-    def __init__(self, name, cv_pdf_filename, summary_filename, repo_id):
+    def __init__(self, name, profile_pdf, summary_text, repo_id):
         """Initialize the Assistant class by loading profile and summary."""
         self.name = name
         self.openai = OpenAI()
         # Download PDF CV from Hugging Face Hub and extract text.
-        self.linkedin = read_pdf_from_hub(repo_id, cv_pdf_filename)
+        self.linkedin = read_pdf_from_hub(repo_id, profile_pdf)
         # Download Summary from Hugging Face Hub and read text.
-        self.summary = read_text_from_hub(repo_id, summary_filename)
+        self.summary = read_text_from_hub(repo_id, summary_text)
 
     def handle_tool_call(self, tool_calls):
         """Handle tool calls made by the AI model."""

src/interface.py

@@ -30,7 +30,7 @@ else:
     MY_CHAT_SECRET = "".join(choice(ascii_letters + digits) for _ in range(16))
 
 
-def get_interface(name, cv_pdf, summary_text, repo_id):
+def get_interface(name, profile_pdf, summary_text, repo_id):
     """Get the Gradio ChatInterface for the AI Career Digital Twin."""
     match gr_version[0]:
         case "5":
@@ -51,7 +51,7 @@ def get_interface(name, cv_pdf, summary_text, repo_id):
                             **chat_bot_conf)
 
     app = ChatInterface(Assistant(
-        name, cv_pdf, summary_text, repo_id).chat,
+        name, profile_pdf, summary_text, repo_id).chat,
         chatbot=my_chatbot, autofocus=False, **chat_ifz_conf,
         save_history=True, title="Carlos Bazaga's virtual CV")