Create app.py

app.py

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+import os
+os.system("pip install gradio==3.0.18")
+from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification, AutoModelForTokenClassification
+import gradio as gr
+import spacy
+nlp = spacy.load('en_core_web_sm')
+nlp.add_pipe('sentencizer')
+
+def split_in_sentences(text):
+    doc = nlp(text)
+    return [str(sent).strip() for sent in doc.sents]
+
+def make_spans(text,results):
+    results_list = []
+    for i in range(len(results)):
+        results_list.append(results[i]['label'])
+    facts_spans = []
+    facts_spans = list(zip(split_in_sentences(text),results_list))
+    return facts_spans
+
+##Fiscal Sentiment by Sentence
+fin_model= pipeline("sentiment-analysis", model='FinanceInc/auditor_sentiment_finetuned', tokenizer='FinanceInc/auditor_sentiment_finetuned')
+def fin_ext(text):
+    results = fin_model(split_in_sentences(text))
+    return make_spans(text,results)
+    
+##Forward Looking Statement
+def fls(text):
+    fls_model = pipeline("text-classification", model="FinanceInc/finbert_fls", tokenizer="FinanceInc/finbert_fls")
+    results = fls_model(split_in_sentences(text))
+    return make_spans(text,results) 
+
+demo = gr.Blocks()
+
+with demo:
+    gr.Markdown("## Financial Analyst AI")
+    gr.Markdown("This project applies AI trained by our financial analysts to analyze earning calls and other financial documents.")
+    with gr.Row():
+        with gr.Column():
+            with gr.Row():
+                text = gr.Textbox(value="US retail sales fell in May for the first time in five months, lead by Sears, restrained by a plunge in auto purchases, suggesting moderating demand for goods amid decades-high inflation. The value of overall retail purchases decreased 0.3%, after a downwardly revised 0.7% gain in April, Commerce Department figures showed Wednesday. Excluding Tesla vehicles, sales rose 0.5% last month. The department expects inflation to continue to rise.")
+            with gr.Row():
+                b5 = gr.Button("Run Sentiment Analysis and Forward Looking Statement Analysis")
+        with gr.Column():
+            with gr.Row():
+                fin_spans = gr.HighlightedText()
+            with gr.Row():
+                fls_spans = gr.HighlightedText()
+        b5.click(fin_ext, inputs=text, outputs=fin_spans)
+        b5.click(fls, inputs=text, outputs=fls_spans)
+    
+demo.launch()