debug

app.py

@@ -25,46 +25,33 @@ def calc_preds(coeffs, indeps):
         return 'Real Job Post'
     else:
         return 'Fake Job Post'
-    # return torch.sigmoid(res)
-
-
-def preprocess_input(input_data):
-    df = pd.DataFrame([input_data], columns=indep_cols)
-
-    for column in df.columns:
-        if df[column].dtype == 'O':  # 'O' stands for object type (string)
-            df[column] = label_encoder.fit_transform(df[column])
-        else:
-            df[column] = df[column].astype(float)
-
-    t_indep = tensor(df[indep_cols].values, dtype=torch.float)
-    vals, indices = t_indep.max(dim=0)
-    t_indep = t_indep / vals
-
-    return t_indep
-
-# def main(inputs):
-#     t_indep = preprocess_input(inputs)
-#     return calc_preds(coeffs, t_indep)
 
 def main(job_title, company_name, company_desc, job_desc,
               job_requirement, salary, location, employment_type,
               department):
-    inputs = [job_title, company_name, company_desc, job_desc,
+    df = pd.DataFrame(columns=indep_cols)
+    df.loc[0] = [job_title, company_name, company_desc, job_desc,
               job_requirement, salary, location, employment_type,
               department]
 
-    t_indep = preprocess_input(inputs)
+    for column in df.columns:
+        df[column] = label_encoder.fit_transform(df[column])
 
-    # return calc_preds(coeffs, t_indep)
-    return t_indep, 
+    t_indep = tensor(df[indep_cols].values, dtype=torch.float)
+    vals,indices = t_indep.max(dim=0)
+    t_indep = t_indep / vals
+    return calc_preds(coeffs, t_indep)
 
 iface = gr.Interface(
     fn=main,
-    inputs="text",
+    inputs=[gr.Textbox(label="Job title"), gr.Textbox(label="Company name"),
+            gr.Textbox(label="Company description"), gr.Textbox(label="Job description"),
+            gr.Textbox(label="Job Requirements"), gr.Textbox(label="Salary"),
+            gr.Textbox(label="Location"), gr.Textbox(label="Employment Type"),
+            gr.Textbox(label="Department")],
     outputs="text",
-    title="Real/Fake Job Posting Identifier",
-    description="Identifies job posts as real or fake."
+    title="Job posting identifier",
+    description="Identifies job posts as real or fake"
 )
 
 iface.launch()