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Update app.py
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app.py
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from fastapi import FastAPI, UploadFile, File
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from typing import List
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import
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app = FastAPI(title="Eroha AgentAPI", version="2.1.1")
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collection = client.get_or_create_collection("eroha_docs")
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embedder = None
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summarizer = None
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@app.get("/")
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def home():
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return {
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"message": "Eroha AgentAPI is alive!",
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"routes": ["/check", "/summarize"]
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}
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@app.post("/summarize")
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async def summarize_text(files: List[UploadFile] = File(...)):
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global embedder, summarizer
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if embedder is None or summarizer is None:
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from sentence_transformers import SentenceTransformer
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from transformers import pipeline
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embedder = SentenceTransformer("all-MiniLM-L6-v2")
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summarizer = pipeline("
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texts = []
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for file in files:
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content = await file.read()
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texts.append(content.decode("utf-8"))
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full_text = "\n".join(texts)
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from fastapi import FastAPI, UploadFile, File
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from typing import List
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from sentence_transformers import SentenceTransformer
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from transformers import pipeline
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import asyncio
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# --- FastAPI app ---
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app = FastAPI(title="Eroha AgentAPI", version="2.1.1")
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# --- Lazy initialization ---
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embedder = None
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summarizer = None
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@app.get("/")
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def home():
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return {
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"message": "✅ Eroha AgentAPI is alive!",
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"routes": ["/check", "/summarize"]
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}
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@app.post("/summarize")
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async def summarize_text(files: List[UploadFile] = File(...)):
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global embedder, summarizer
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# Lazy load models (only on first call)
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if embedder is None or summarizer is None:
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embedder = SentenceTransformer("all-MiniLM-L6-v2")
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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# Collect text from uploaded files
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texts = []
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for file in files:
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content = await file.read()
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texts.append(content.decode("utf-8", errors="ignore"))
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# Combine into one large string
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full_text = "\n".join(texts)
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# Create embedding (optional — for debugging)
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embedding = embedder.encode(full_text[:512]) # just preview embedding
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# Summarize
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summary = summarizer(full_text, max_length=200, min_length=50, do_sample=False)
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return {
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"summary": summary[0]["summary_text"],
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"embedding_preview": embedding[:5].tolist() if hasattr(embedding, "tolist") else [],
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}
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# --- Health endpoint ---
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@app.get("/ping")
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def ping():
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return {"status": "running"}
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