import requests
from bs4 import BeautifulSoup
from fastapi import FastAPI, Request
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
import re
import os
# import transformers
# import torch

class Item(BaseModel):
    url: str
    percentage: int

app = FastAPI()



#summarizer = transformers.pipeline("summarization", model="Falconsai/text_summarization")



def extract_article_content(url):
    try:
        # Fetch the HTML content of the article URL
        response = requests.get(url)

        soup = BeautifulSoup(response.text, 'html.parser')
        results = soup.find_all(['h1', 'p'])
        text = [result.text for result in results]
        ARTICLE = ' '.join(text)
        
        return ARTICLE
    except Exception as e:
        return ""


@app.get("/")
async def root():
    return {"status": "OK"}


@app.post("/summarize-v1")
async def root(item: Item):
    
    try:

        article = extract_article_content(item.url)

        if len(article) == 0:
            return {'summary': ""}

        response = requests.post('https://fumes-api.onrender.com/llama3',
        json={'prompt': "{ 'User': 'Summarize the following news article: '" + article + "}",
        "temperature":0.6,
        "topP":0.9,
        "maxTokens": 200}, stream=True)

        response_content = response.content.decode('utf-8')

        response_content = response_content.replace("Here is a summary of the news article:", "")
        response_content = response_content.replace("YOU CAN BUY ME COFFE! https://buymeacoffee.com/mygx", "")


        return {"summary":response_content}
        
    except requests.RequestException as e:
        return {"error": str(e), "status_code": 500}





# @app.post("/summarize-v2")
# async def root(item: Item):
#     try:
#         article = extract_article_content(item.url)

#         if len(article) == 0:
#             return StreamingResponse(content="", media_type="application/json")

#         response = requests.post('https://fumes-api.onrender.com/llama3',
#         json={'prompt': "{ 'User': 'Summarize the following news article: '" + article + "}",
#         "temperature":0.6,
#         "topP":0.9,
#         "maxTokens": 200}, stream=True)

#         async def send_chunks():
#             for chunk in response.iter_content(chunk_size=1024):
#                 if chunk:
#                     yield chunk.decode('utf-8')

#         return StreamingResponse(send_chunks(), media_type="text/plain")

#     except requests.RequestException as e:
#         return {"error": str(e), "status_code": 500}


    
@app.post("/extract-content")
async def root(item: Item):
    
    try:

        article = extract_article_content(item.url)

        if len(article) == 0:
            return {'ERROR': "AHHHHHHHHH"}
        
        return {"content":article}
        
    except requests.RequestException as e:
        return {"error": str(e), "status_code": 500}
    

# @app.post("/summarize-v3")
# async def root(item: Item):
    
#     try:

#         article = extract_article_content(item.url)

#         if len(article) == 0:
#             return {'summary': ""}

#         summ = summarizer(article, max_length=1000, min_length=30, do_sample=False)
 
#         return {"summary":summ}
        
#     except requests.RequestException as e:
#         return {"error": str(e), "status_code": 500}