Create app.py

app.py

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+import os
+from fastapi import FastAPI, Request
+from google.generativeai.generative_models import GenerativeModel
+from google.generativeai import configure
+import asyncio
+from playwright.async_api import async_playwright
+
+# Configure the Gemini API client with your API key
+configure(api_key=os.environ.get("GEMINI_API_KEY"))
+model = GenerativeModel(model_name="gemini-1.5-pro")
+
+app = FastAPI()
+
+async def get_page_content(url):
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.newPage()
+        await page.goto(url)
+        content = await page.content()
+        await browser.close()
+        return content
+
+@app.post("/process-url")
+async def process_url(request: Request):
+    try:
+        data = await request.json()
+        url = data.get('url')
+        if not url:
+            return {"error": "URL not provided"}
+
+        # Scrape content using Playwright
+        html_content = await get_page_content(url)
+        
+        # Craft the prompt for the Gemini API
+        prompt = f"Analyze the following HTML content and provide a summary of the main points:\n\n{html_content}"
+
+        # Call the Gemini API
+        response = model.generate_content(prompt)
+        summary = response.text
+
+        return {"url": url, "summary": summary}
+
+    except Exception as e:
+        return {"error": str(e)}