Upload app_main.py

app_main.py

@@ -0,0 +1,128 @@
+import requests
+from bs4 import BeautifulSoup
+from fastapi import FastAPI
+from pydantic import BaseModel
+import re
+import os
+
+token = os.environ.get("huggingface_token")
+
+app = FastAPI()
+
+
+print("hello world")
+
+@app.get("/")
+async def root():
+    return {"status": "OK"}
+
+class Item(BaseModel):
+    url: str
+    percentage: int
+    
+
+
+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 f"Error: {e}"
+
+
+@app.post("/summarize-v1")
+async def root(item: Item):
+    
+    try:
+
+        article = extract_article_content(item.url)
+
+        url = "https://text-analysis12.p.rapidapi.com/summarize-text/api/v1.1"
+
+        payload = {
+            "language": "english",
+            "summary_percent": item.percentage,
+            'text': article
+                   }
+        headers = {
+            "content-type": "application/json",
+            "X-RapidAPI-Key":"",
+            "X-RapidAPI-Host": "text-analysis12.p.rapidapi.com"
+        }
+
+        response = requests.post(url, json=payload, headers=headers).json()
+
+
+        #text processing
+        text = response["summary"].replace('\"', " ");
+        text = re.sub(r'\s+', ' ', text)
+        
+
+        #return {clean_response}
+        return {
+                "summary":text}
+        
+    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)
+
+        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 {clean_response}
+        return {
+                "summary":response_content}
+        
+    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)
+
+
+        API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
+        headers = {'Authorization': token}
+
+            
+        params = {'do_sample': False}
+
+        response = requests.post(API_URL, headers=headers, json={
+            'inputs': article,
+            'parameters': params
+        })
+
+        output = response.json()
+    
+        return {"summary": output}
+        
+    except requests.RequestException as e:
+        return {"error": str(e), "status_code": 500}
+    
+
+