Duplicate from rajistics/Financial_Analyst_AI

Co-authored-by: Rajiv Shah <[email protected]>

.gitattributes

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README.md

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+---
+title: Financial Analyst AI
+emoji: 🏢
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.0.15
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: rajistics/Financial_Analyst_AI
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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
+ 
+auth_token = os.environ.get("HF_Token")
+
+##Speech Recognition
+asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
+def transcribe(audio):
+ text = asr(audio)["text"]
+ return text
+def speech_to_text(speech):
+ text = asr(speech)["text"]
+ return text
+
+##Summarization 
+summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY")
+def summarize_text(text):
+ resp = summarizer(text)
+ stext = resp[0]['summary_text']
+ return stext
+
+##Fiscal Tone Analysis
+fin_model= pipeline("sentiment-analysis", model='yiyanghkust/finbert-tone', tokenizer='yiyanghkust/finbert-tone')
+def text_to_sentiment(text):
+ sentiment = fin_model(text)[0]["label"]
+ return sentiment 
+
+##Company Extraction 
+def fin_ner(text):
+ api = gr.Interface.load("dslim/bert-base-NER", src='models', use_auth_token=auth_token)
+ replaced_spans = api(text)
+ return replaced_spans 
+
+##Fiscal Sentiment by Sentence
+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="yiyanghkust/finbert-fls", tokenizer="yiyanghkust/finbert-fls")
+ fls_model = pipeline("text-classification", model="demo-org/finbert_fls", tokenizer="demo-org/finbert_fls", use_auth_token=auth_token)
+ 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():
+ audio_file = gr.inputs.Audio(source="microphone", type="filepath")
+ with gr.Row():
+ b1 = gr.Button("Recognize Speech") 
+ 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.")
+ b1.click(speech_to_text, inputs=audio_file, outputs=text)
+ with gr.Row():
+ b2 = gr.Button("Summarize Text")
+ stext = gr.Textbox()
+ b2.click(summarize_text, inputs=text, outputs=stext) 
+ with gr.Row():
+ b3 = gr.Button("Classify Financial Tone")
+ label = gr.Label()
+ b3.click(text_to_sentiment, inputs=stext, outputs=label) 
+ with gr.Column():
+ b5 = gr.Button("Financial Tone and Forward Looking Statement Analysis")
+ with gr.Row():
+ fin_spans = gr.HighlightedText()
+ b5.click(fin_ext, inputs=text, outputs=fin_spans)
+ with gr.Row():
+ fls_spans = gr.HighlightedText()
+ b5.click(fls, inputs=text, outputs=fls_spans)
+ with gr.Row():
+ b4 = gr.Button("Identify Companies & Locations")
+ replaced_spans = gr.HighlightedText()
+ b4.click(fin_ner, inputs=text, outputs=replaced_spans)
+ 
+demo.launch()

requirements.txt

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+transformers
+torch
+spacy
+https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl
+gradio==3.0.18