Add application file

.ipynb_checkpoints/app-checkpoint.py

@@ -49,14 +49,14 @@ def summarize_text2(text):
     return stext
 
 ##Fiscal Tone Analysis
-fin_model= pipeline("sentiment-analysis", model='knkarthick/Sentiment-Analysis', tokenizer='knkarthick/Sentiment-Analysis')
+sen_model= pipeline("sentiment-analysis", model='knkarthick/Sentiment-Analysis', tokenizer='knkarthick/Sentiment-Analysis')
 def text_to_sentiment(text):
-    sentiment = fin_model(text)[0]["label"]
+    sentiment = sen_model(text)[0]["label"]
     return sentiment     
 
 ##Fiscal Sentiment by Sentence
-def fin_ext(text):
-    results = fin_model(split_in_sentences(text))
+def sen_ext(text):
+    results = sen_model(split_in_sentences(text))
     return make_spans(text,results)
 
 demo = gr.Blocks()
@@ -75,9 +75,9 @@ with demo:
             with gr.Row():
                 b2 = gr.Button("Dialogue Sentiment Analysis")
                 fin_spans = gr.HighlightedText()
-                b2.click(fin_ext, inputs=text, outputs=fin_spans) 
+                b2.click(sen_ext, inputs=text, outputs=fin_spans) 
     with gr.Row():
-        b3 = gr.Button("Summarize Text [Model-I/ Model-II/ Model-III]")
+        b3 = gr.Button("Summarization [Model-I/II/III]")
         with gr.Column():
             with gr.Row():
                 stext = gr.Textbox()
@@ -91,7 +91,7 @@ with demo:
                 stext2 = gr.Textbox()
                 b3.click(summarize_text2, inputs=text, outputs=stext2)
     with gr.Row():
-        b4 = gr.Button("Sentiment of Summary-I/ Summary-II/ Summary-III")
+        b4 = gr.Button("Sentiment of Summary-I/II/III")
         with gr.Column():
             with gr.Row():
                 label = gr.Label()

app.py

@@ -49,14 +49,14 @@ def summarize_text2(text):
     return stext
 
 ##Fiscal Tone Analysis
-fin_model= pipeline("sentiment-analysis", model='knkarthick/Sentiment-Analysis', tokenizer='knkarthick/Sentiment-Analysis')
+sen_model= pipeline("sentiment-analysis", model='knkarthick/Sentiment-Analysis', tokenizer='knkarthick/Sentiment-Analysis')
 def text_to_sentiment(text):
-    sentiment = fin_model(text)[0]["label"]
+    sentiment = sen_model(text)[0]["label"]
     return sentiment     
 
 ##Fiscal Sentiment by Sentence
-def fin_ext(text):
-    results = fin_model(split_in_sentences(text))
+def sen_ext(text):
+    results = sen_model(split_in_sentences(text))
     return make_spans(text,results)
 
 demo = gr.Blocks()
@@ -75,9 +75,9 @@ with demo:
             with gr.Row():
                 b2 = gr.Button("Dialogue Sentiment Analysis")
                 fin_spans = gr.HighlightedText()
-                b2.click(fin_ext, inputs=text, outputs=fin_spans) 
+                b2.click(sen_ext, inputs=text, outputs=fin_spans) 
     with gr.Row():
-        b3 = gr.Button("Summarize Text [Model-I/ Model-II/ Model-III]")
+        b3 = gr.Button("Summarization [Model-I/II/III]")
         with gr.Column():
             with gr.Row():
                 stext = gr.Textbox()
@@ -91,7 +91,7 @@ with demo:
                 stext2 = gr.Textbox()
                 b3.click(summarize_text2, inputs=text, outputs=stext2)
     with gr.Row():
-        b4 = gr.Button("Sentiment of Summary-I/ Summary-II/ Summary-III")
+        b4 = gr.Button("Sentiment of Summary-I/II/III")
         with gr.Column():
             with gr.Row():
                 label = gr.Label()