Upload app.py

app.py

@@ -6,32 +6,30 @@ from recommender import rank_resumes, summarize_resume_flan, extract_applicant_n
 UPLOAD_FOLDER = "uploads"
 os.makedirs(UPLOAD_FOLDER, exist_ok=True)
 
+
 def process_resumes(job_description, uploaded_file):
     if not job_description.strip():
         return "Please provide a job description.", None
 
-    filepath = os.path.join(UPLOAD_FOLDER, uploaded_file.name)
+    # uploaded_file is the file path string, use it directly
+    filepath = uploaded_file  # no need to save again
 
-    # Fix here: uploaded_file might be a file-like object or just string content
-    if hasattr(uploaded_file, "read"):  # file-like object (e.g., PDF)
-        with open(filepath, "wb") as f:
-            f.write(uploaded_file.read())
-    else:  # string content (likely txt)
-        with open(filepath, "w", encoding="utf-8") as f:
-            f.write(uploaded_file)
+    # Extract filename for display in results
+    filename = os.path.basename(filepath)
 
-    # Read the saved resume content
+    # Read file content depending on extension
     if filepath.endswith(".txt"):
         with open(filepath, "r", encoding="utf-8") as f:
             text = f.read()
     elif filepath.endswith(".pdf"):
+        import pdfplumber
         with pdfplumber.open(filepath) as pdf:
-            pages = [page.extract_text() for page in pdf.pages]
+            pages = [page.extract_text() for page in pdf.pages if page.extract_text() is not None]
             text = "\n".join(pages)
     else:
         return "Unsupported file format.", None
 
-    resume_texts = [(uploaded_file.name, text)]
+    resume_texts = [(filename, text)]
 
     # Rank resumes
     results = rank_resumes(job_description, resume_texts)
@@ -53,6 +51,7 @@ def process_resumes(job_description, uploaded_file):
 
 
 
+
 with gr.Blocks() as demo:
     gr.Markdown("## Candidate Recommendation Engine")
     with gr.Row():