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from fastapi import FastAPI | |
from utils import ( | |
fetch_from_web, | |
analyze_sentiment, | |
generate_comparative_sentiment, | |
generate_final_report, | |
get_summaries_by_sentiment, | |
translate, | |
text_to_speech, | |
) | |
app = FastAPI() | |
def main(company_name: str, model_provider: str): | |
web_results = fetch_from_web(company_name) | |
if "sources" not in web_results: | |
return {"error": "No sources found."} | |
sentiment_output = [ | |
analyze_sentiment(article, model_provider) | |
for article in web_results["sources"][:5] | |
] | |
comparative_sentiment = generate_comparative_sentiment(sentiment_output) | |
positive_summary, negative_summary, neutral_summary = get_summaries_by_sentiment( | |
sentiment_output | |
) | |
final_report = generate_final_report( | |
positive_summary, | |
negative_summary, | |
neutral_summary, | |
comparative_sentiment, | |
model_provider, | |
) | |
hindi_translation = translate(final_report, model_provider) | |
audio_path = text_to_speech(hindi_translation) | |
return { | |
"company_name": company_name, | |
"articles": sentiment_output, | |
"comparative_sentiment": comparative_sentiment, | |
"final_report": final_report, | |
"hindi_translation": hindi_translation, | |
"audio_url": audio_path, | |
} | |
# |