fixed examples

app.py

@@ -64,8 +64,22 @@ def infer(
 
 
 examples = [
-    # Sentiment Analysis
-    '''Label the tweets as either "positive", "negative", "mixed", or "neutral":
+    [
+        # Question Answering
+        '''Please answer the following question:
+
+Question: What is the capital of Canada?
+Answer: Ottawa
+
+Question: What is the currency of Switzerland?
+Answer: Swiss franc
+
+Question: In which country is Wisconsin located?
+Answer:
+''', "GPT-JT-6B-v1", 5, 0.0, 40, 1.0],
+    [
+        # Sentiment Analysis
+        '''Label the tweets as either "positive", "negative", "mixed", or "neutral":
 
 Tweet: I can say that there isn't anything I would change.
 Label: positive
@@ -80,21 +94,10 @@ Tweet: I think the background image could have been better.
 Label: negative
 
 Tweet: I really like it.
-Label: ''',
-    # Question Answering
-    '''Please answer the following question:
-
-Question: What is the capital of Canada?
-Answer: Ottawa
-
-Question: What is the currency of Switzerland?
-Answer: Swiss franc
-
-Question: In which country is Wisconsin located?
-Answer:
-''',
-    # Topic Classification
-    '''Given a news article, classify its topic.
+Label: ''', "GPT-JT-6B-v1", 2, 0.0, 40, 1.0],
+    [
+        # Topic Classification
+        '''Given a news article, classify its topic.
 Possible labels: 1. World 2. Sports 3. Business 4. Sci/Tech
 
 Article: A nearby star thought to harbor comets and asteroids now appears to be home to planets, too.
@@ -105,9 +108,10 @@ Label: Business
 
 Article: Murtagh a stickler for success Northeastern field hockey coach Cheryl Murtagh doesn't want the glare of the spotlight that shines on her to detract from a team that has been the America East champion for the past three years and has been to the NCAA tournament 13 times.
 Label:
-''',
-    # Paraphrasing
-    '''Paraphrase the given sentence into a different sentence.
+''', "GPT-JT-6B-v1", 5, 0.0, 40, 1.0],
+    [
+        # Paraphrasing
+        '''Paraphrase the given sentence into a different sentence.
 
 Input: Can you recommend some upscale restaurants in New York?
 Output: What upscale restaurants do you recommend in New York?
@@ -117,9 +121,10 @@ Output: Recommend some of the best places to visit in Paris?
 
 Input: Could you recommend some hotels that have cheap price in Zurich?
 Output:
-''',
-    # Text Summarization
-    '''Given a review from Amazon's food products, the task is to generate a short summary of the given review in the input.
+''', "GPT-JT-6B-v1", 20, 0.8, 40, 1.0],
+    [
+        # Text Summarization
+        '''Given a review from Amazon's food products, the task is to generate a short summary of the given review in the input.
 
 Input: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
 Output: Good Quality Dog Food
@@ -129,9 +134,10 @@ Output: Not as Advertised
 
 Input: My toddler loves this game to a point where he asks for it. That's a big thing for me. Secondly, no glitching unlike one of their competitors (PlayShifu). Any tech I don’t have to reach out to support for help is a good tech for me. I even enjoy some of the games and activities in this. Overall, this is a product that shows that the developers took their time and made sure people would not be asking for refund. I’ve become bias regarding this product and honestly I look forward to buying more of this company’s stuff. Please keep up the great work.
 Output:
-''',
-    # Word Sense Disambiguation
-    '''Identify which sense of a word is meant in a given context.
+''', "GPT-JT-6B-v1", 10, 0.0, 40, 1.0],
+    [
+        # Word Sense Disambiguation
+        '''Identify which sense of a word is meant in a given context.
 
 Context: The river overflowed the bank.
 Word: bank
@@ -148,9 +154,10 @@ Sense: commercial (finance) banks
 Context: Bill killed the project
 Word: kill
 Sense:
-''',
-    # Natural Language Interface
-    '''Given a pair of sentences, choose whether the two sentences agree (entailment)/disagree (contradiction) with each other.
+''', "GPT-JT-6B-v1", 10, 0.0, 40, 1.0],
+    [
+        # Natural Language Interface
+        '''Given a pair of sentences, choose whether the two sentences agree (entailment)/disagree (contradiction) with each other.
 Possible labels: 1. entailment 2. contradiction
 
 Sentence 1: The skier was on the edge of the ramp. Sentence 2: The skier was dressed in winter clothes.
@@ -161,7 +168,7 @@ Label: contradiction
 
 Sentence 1: Two middle-aged people stand by a golf hole. Sentence 2: A couple riding in a golf cart.
 Label:
-'''
+''', "GPT-JT-6B-v1", 2, 0.0, 40, 1.0]
 ]