Add application file

app.py

@@ -58,9 +58,9 @@ def html_coversion(gpt_content):
   return html_table
 
 # Function to recommend courses based on user input using GPT and TF-IDF
-def recommend_courses(user_skill, ed_qual):
+def recommend_courses(user_skill):
     # Combine user's input into a single string for TF-IDF
-    user_input = f"{user_skill} {ed_qual}"
+    user_input = f"{user_skill}"
 
     # Use TF-IDF and cosine similarity for initial course recommendations
     user_vector = tfidf_vectorizer.transform([user_input])
@@ -87,7 +87,7 @@ iface = gr.Interface(
     fn=recommend_courses,
     inputs=[
         gr.Textbox("text", label="Enter expected skill"),
-        gr.Dropdown(["B.Tech/B.Sc", "M.Tech/M.Sc", "Management"], label="Highest Educational Qualification"),
+        #gr.Dropdown(["B.Tech/B.Sc", "M.Tech/M.Sc", "Management"], label="Highest Educational Qualification"),
     ],
     outputs="html",
     live=True