Update app.py

app.py

@@ -7,23 +7,27 @@ import os
 # Initialize Groq client with your API key
 client = Groq(api_key="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")
 
-# Paths to your books
+# Paths to your books (assuming files are in the root directory of the repo)
 book_paths = {
-    "DSM": "/app/DSM5.pdf",
-    "Personality": "/app/TheoriesofPersonality.pdf",
-    "SearchForMeaning": "/app/MansSearchForMeaning.pdf"
+    "DSM": "./DSM5.pdf",
+    "Personality": "./TheoriesofPersonality.pdf",
+    "SearchForMeaning": "./MansSearchForMeaning.pdf"
 }
 
 # Function to load and preprocess the data from books
 def load_data(paths):
     data = []
     for title, path in paths.items():
-        with open(path, "r", encoding="utf-8", errors='ignore') as file:
-            text = file.read()
-            paragraphs = text.split("\n\n")  # Split by paragraphs (adjust as needed)
-            for paragraph in paragraphs:
-                if paragraph.strip():  # Skip empty paragraphs
-                    data.append({"text": paragraph.strip()})
+        print(f"Attempting to load file for {title} from path: {path}")
+        try:
+            with open(path, "r", encoding="utf-8", errors='ignore') as file:
+                text = file.read()
+                paragraphs = text.split("\n\n")  # Split by paragraphs (adjust as needed)
+                for paragraph in paragraphs:
+                    if paragraph.strip():  # Skip empty paragraphs
+                        data.append({"text": paragraph.strip()})
+        except FileNotFoundError:
+            print(f"Error: File for {title} not found at path {path}")
     return Dataset.from_list(data)
 
 # Load and preprocess dataset for fine-tuning