first commit

app.py

@@ -56,17 +56,17 @@ def prep_examples():
     example_labels11 = "bhalo;;kharap"
 
     examples = [
-        [example_text1, example_labels1],
-        [example_text2, example_labels2],
-        [example_text3, example_labels3],
-        [example_text4, example_labels4],
-        [example_text5, example_labels5],
-        [example_text6, example_labels6],
-        [example_text7, example_labels7],
-        [example_text8, example_labels8],
-        [example_text9, example_labels9],
-        [example_text10, example_labels10],
-        [example_text11, example_labels11]]
+        [example_text1, example_labels1, ""],
+        [example_text2, example_labels2, ""],
+        [example_text3, example_labels3, ""],
+        [example_text4, example_labels4, "The sentiment expressed here is {}."],
+        [example_text5, example_labels5, ""],
+        [example_text6, example_labels6, ""],
+        [example_text7, example_labels7, ""],
+        [example_text8, example_labels8, ""],
+        [example_text9, example_labels9, ""],
+        [example_text10, example_labels10, ""],
+        [example_text11, example_labels11, ""]]
 
     return examples
 
@@ -92,10 +92,10 @@ def sequence_to_classify(text, labels, hypothesis_template):
 	else:
 		model = model_multi
 
-	if hypothesis_template:
-		labels = [hypothesis_template.format(label) for label in labels.split(";;")]
-	else:
-		labels = [label for label in labels.split(";;")]
+	if hypothesis_template == None:
+		hypothesis_template = "{}"
+		print("I'm here")
+	labels = [hypothesis_template.format(label) for label in labels.split(";;")]
 	
 	if str(type(model)) == "<class 'clip.model.CLIP'>":
 		text_tokens = clip.tokenize(text)
@@ -151,7 +151,7 @@ iface = gr.Interface(
         label="Please enter the candidate labels (separated by 2 consecutive semicolons)...",
         placeholder="Labels here separated by ;;"),
         gr.inputs.Textbox(lines=2,
-        label="Please enter the text for hypothesis template(optional)...",
+        label="Please enter the text for hypothesis template (optional)...",
         placeholder="Text here...")],
     outputs=gr.outputs.Label(num_top_classes=5),
     #interpretation="default",