Update app.py

app.py

@@ -54,16 +54,16 @@ def match(CV,JD):
     skillset_dict = create_skillset_dict(resume_names, resume_texts)
     jd_skillset = create_skill_set(nlp(JD))
     match_pairs = [match_skills(jd_skillset, skillset_dict, name) for name in skillset_dict.keys()]
-    return match_pairs
+    return match_pairs[0]["ABHI]
 
 exp=["Who is steve jobs?","What is coldplay?","What is a turing test?","What is the most interesting thing about our universe?","What are the most beautiful places on earth?"]
 
-desc="This is a semantic search engine powered by SentenceTransformers (Nils_Reimers) with a retrieval and reranking system on Wikipedia corous. This will return the top 5 results. So Quest on with Transformers."
+desc="A Machine Learning Based Resume Matcher, to compare Resumes with Job Descriptions. "
 
-inp1=gr.inputs.Textbox(lines=10, placeholder=None, default="", label="CV")
-inp2=gr.inputs.Textbox(lines=10, placeholder=None, default="", label="JD")
+inp1=gr.inputs.Textbox(lines=10, placeholder=None, default="", label="Resume Details")
+inp2=gr.inputs.Textbox(lines=10, placeholder=None, default="", label="Job Description")
 
 out=gr.outputs.Textbox(type="auto",label="search results")
 
-iface = gr.Interface(fn=match, inputs=[inp1,inp2], outputs=out,title="CV matcher",theme="huggingface",layout='vertical')
+iface = gr.Interface(fn=match, inputs=[inp1,inp2], outputs=out,title="CV matcher",article=desc,theme="huggingface",layout='vertical')
 iface.launch(debug=True)