Create app.js

app.js

@@ -0,0 +1,49 @@
+const { exec } = require('child_process');
+const { promises: fs } = require('fs');
+const { GoogleGenerativeAI } = require('@google/generative-ai');
+
+// --- WARNING: Do not put your API key directly in the code ---
+// It is recommended to use environment variables for secrets.
+// process.env.GEMINI_API_KEY should be set in Hugging Face secrets.
+const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
+
+async function summarizePage(url, task) {
+  return new Promise((resolve, reject) => {
+    // This command runs Skyvern to perform the task.
+    // The --task parameter defines what Skyvern should do.
+    const command = `skyvern run --url "${url}" --task "${task}"`;
+    
+    exec(command, (err, stdout, stderr) => {
+      if (err) {
+        reject(`Skyvern CLI error: ${stderr}`);
+        return;
+      }
+      resolve(stdout);
+    });
+  });
+}
+
+async function main() {
+  const url = "https://www.example.com";
+  const task = "Summarize the key information on this page.";
+
+  try {
+    console.log(`Running Skyvern on: ${url}`);
+    const skyvernOutput = await summarizePage(url, task);
+    
+    console.log("Skyvern output:", skyvernOutput);
+    
+    // Now pass the output to the Gemini API for final summarization or analysis.
+    const model = genAI.getGenerativeModel({ model: "gemini-1.5-pro" });
+    const result = await model.generateContent(skyvernOutput);
+    const response = await result.response;
+    const summary = response.text();
+    
+    console.log("Final Summary from Gemini:", summary);
+
+  } catch (error) {
+    console.error("An error occurred:", error);
+  }
+}
+
+main();