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Update main.py
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main.py
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@@ -5,26 +5,20 @@ from fastapi.responses import StreamingResponse
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from pydantic import BaseModel
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import re
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import os
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import transformers
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import torch
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summarizer = transformers.pipeline("summarization", model="Falconsai/text_summarization")
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@app.get("/")
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async def root():
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return {"status": "OK"}
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class Item(BaseModel):
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url: str
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percentage: int
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def extract_article_content(url):
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try:
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@@ -40,6 +34,12 @@ def extract_article_content(url):
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except Exception as e:
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return ""
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@app.post("/summarize-v1")
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async def root(item: Item):
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@@ -71,29 +71,29 @@ async def root(item: Item):
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@app.post("/summarize-v2")
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async def root(item: Item):
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@@ -113,22 +113,22 @@ async def root(item: Item):
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return {"error": str(e), "status_code": 500}
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@app.post("/summarize-v3")
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async def root(item: Item):
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from pydantic import BaseModel
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import re
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import os
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# import transformers
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# import torch
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class Item(BaseModel):
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url: str
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percentage: int
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app = FastAPI()
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#summarizer = transformers.pipeline("summarization", model="Falconsai/text_summarization")
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def extract_article_content(url):
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try:
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except Exception as e:
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return ""
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@app.get("/")
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async def root():
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return {"status": "OK"}
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@app.post("/summarize-v1")
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async def root(item: Item):
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# @app.post("/summarize-v2")
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# async def root(item: Item):
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# try:
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# article = extract_article_content(item.url)
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# if len(article) == 0:
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# return StreamingResponse(content="", media_type="application/json")
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# response = requests.post('https://fumes-api.onrender.com/llama3',
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# json={'prompt': "{ 'User': 'Summarize the following news article: '" + article + "}",
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# "temperature":0.6,
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# "topP":0.9,
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# "maxTokens": 200}, stream=True)
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# async def send_chunks():
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# for chunk in response.iter_content(chunk_size=1024):
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# if chunk:
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# yield chunk.decode('utf-8')
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# return StreamingResponse(send_chunks(), media_type="text/plain")
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# except requests.RequestException as e:
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# return {"error": str(e), "status_code": 500}
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return {"error": str(e), "status_code": 500}
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# @app.post("/summarize-v3")
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# async def root(item: Item):
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# try:
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# article = extract_article_content(item.url)
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# if len(article) == 0:
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# return {'summary': ""}
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# summ = summarizer(article, max_length=1000, min_length=30, do_sample=False)
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# return {"summary":summ}
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# except requests.RequestException as e:
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# return {"error": str(e), "status_code": 500}
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