Update app.py

app.py

@@ -1,5 +1,7 @@
 from PyPDF2 import PdfReader
 from markdownify import markdownify
+import gradio as gr
+import openai
 
 # Persistent System Prompt
 LOSSDOG_PROMPT = """
@@ -26,11 +28,18 @@ def extract_text_from_file(file_path: str, file_name: str) -> str:
     if file_name.endswith(".pdf"):
         try:
             pdf_reader = PdfReader(file_path)
+            text = "\n".join(page.extract_text() for page in pdf_reader.pages)
+            return text
+        except Exception as e:
+            return f"Error reading PDF file: {str(e)}"
+    elif file_name.endswith(".txt"):
+        try:
+            with open(file_path, "r") as f:
                 return f.read()
         except Exception as e:
             return f"Error reading text file: {str(e)}"
-    return "Unsupported file format. Please upload a PDF or TXT file."
-
+    else:
+        return "Unsupported file format. Please upload a PDF or TXT file."
 
 def convert_to_markdown(text: str) -> str:
     """Convert extracted file text to Markdown for neat display."""
@@ -46,15 +55,6 @@ def interact_with_lossdog(
     Generates the assistant's response, always including the resume content as context
     alongside the conversation history.
     """
-
-
-
-
-
-
-
-
-
     try:
         openai.api_key = api_key
         
@@ -85,8 +85,6 @@ def interact_with_lossdog(
         validated_history.append({"role": "user", "content": user_message})
         validated_history.append({"role": "assistant", "content": assistant_response})
 
-
-
         return validated_history
     except Exception as e:
         # Append the error as an assistant message (for visibility)
@@ -156,7 +154,6 @@ def create_demo():
             Called when the user sends a new message. We pass the stored resume + history.
             """
             updated_history = interact_with_lossdog(user_message, markdown_text, api_key, history)
-
             return updated_history, updated_history
 
         # Link File Upload -> handle_upload
@@ -187,4 +184,6 @@ def create_demo():
 
     return demo
 
-if __name__ == "__main__": 
+if __name__ == "__main__":
+    demo = create_demo()
+    demo.launch()