Update app.py

app.py

@@ -1,8 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 import PyPDF2
-import docx
 import io
+from docx import Document  # Fix the import issue
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
@@ -14,10 +14,10 @@ def extract_text_from_pdf(pdf_file):
     return text
 
 def extract_text_from_docx(docx_file):
-    doc = docx.Document(io.BytesIO(docx_file))
+    doc = Document(io.BytesIO(docx_file))  # Fixed import usage
     return "\n".join([para.text for para in doc.paragraphs])
 
-def parse_cv(file):
+def parse_cv(file, job_description):
     if file is None:
         return "Please upload a CV file."
     
@@ -31,7 +31,7 @@ def parse_cv(file):
     else:
         return "Unsupported file format. Please upload a PDF or DOCX file."
     
-    prompt = f"Analyze the following CV and generate a professional summary and improvement suggestions:\n\n{text}"
+    prompt = f"Analyze the following CV against the job description provided. Provide a summary, an assessment of fit, and a score from 0 to 10.\n\nJob Description:\n{job_description}\n\nCandidate CV:\n{text}"
     response = client.text_generation(prompt, max_tokens=512)
     return response
 
@@ -87,12 +87,13 @@ with demo:
         )
     
     with gr.Tab("CV Analyzer"):
-        gr.Markdown("### Upload your CV (PDF or DOCX) to receive a professional analysis.")
+        gr.Markdown("### Upload your CV (PDF or DOCX) and provide the job description to receive a professional analysis and suitability score.")
         file_input = gr.File(label="Upload CV", type="file")
+        job_desc_input = gr.Textbox(label="Job Description", lines=5)
         output_text = gr.Textbox(label="CV Analysis Report", lines=10)
         analyze_button = gr.Button("Analyze CV")
         
-        analyze_button.click(parse_cv, inputs=file_input, outputs=output_text)
+        analyze_button.click(parse_cv, inputs=[file_input, job_desc_input], outputs=output_text)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()