Delete app.js

app.js

@@ -1,97 +0,0 @@
-const results = [];
-
-    document.getElementById('fileUpload').addEventListener('change', async function () {
-      const file = this.files[0];
-      if (!file) return;
-
-      // Show selected file name
-    document.getElementById('fileName').textContent = `Selected file: ${file.name}`;
-      
-      const text = await file.text();
-      const prompts = text.split(/\r?\n/).filter(Boolean);
-
-      // Show loading animation
-    document.getElementById('loading').style.display = "block";
-
-      for (const prompt of prompts) {
-        await send(prompt);
-      }
-
-       // Hide loading animation
-    document.getElementById('loading').style.display = "none";
-    });
-
-async function send() {
-  const model = document.getElementById("model").value;
-  const prompt = document.getElementById("prompt").value;
-  const loadingEl = document.getElementById("loading");
-  const outputEl = document.getElementById("responseOutput");
-
-  outputEl.textContent = "";
-  loadingEl.style.display = "block";
-
-  let responseText = "";
-
-  if (model.includes("gemma")) {
-    responseText = await callGemma(prompt);
-  } else if (model.includes("deepseek")) {
-    responseText = await callDeepSeek(prompt);  // This uses DeepSeek's own API
-  }
-
-  loadingEl.style.display = "none";
-  outputEl.textContent = responseText;
-}
-
-
-
-   async function callGemma(prompt) {
-      const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
-        method: "POST",
-        headers: {
-          "Authorization": "Bearer " + "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",
-          "Content-Type": "application/json",
-          /*"HTTP-Referer": "https://huggingface.co/spaces/studycode129/Free_Web_LLM_Tester"*/
-        },
-         body: JSON.stringify({ inputs: prompt })
-  });
-
-  const result = await response.json();
-  return result[0]?.generated_text || "No response";
-}
-
-
-async function callDeepSeek(prompt) {
-  const response = await fetch("https://api.deepseek.com/v1/chat/completions", {
-    method: "POST",
-    headers: {
-      "Authorization": "Bearer" + "sk-13b9eb0edb6c4c7d908b14a2a196f122",
-      "Content-Type": "application/json"
-    },
-    body: JSON.stringify({
-      messages: [{ role: "user", content: prompt }]
-    })
-  });
-
-  const result = await response.json();
-  return result.choices?.[0]?.message?.content || "No response";
-}
-
-
-      const data = await res.json();
-      const output = data.choices?.[0]?.message?.content || JSON.stringify(data);
-      document.getElementById('responseOutput').textContent = modelReply;
-      
-      results.push({ model, prompt, output });
-    }
-
-    function downloadCSV() {
-      let csv = "Model,Prompt,Output\n";
-      results.forEach(row => {
-        csv += `"${row.model}","${row.prompt.replace(/\n/g, " ")}","${row.output.replace(/\n/g, " ")}"\n`;
-      });
-      const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
-      const link = document.createElement("a");
-      link.href = URL.createObjectURL(blob);
-      link.download = "llm_test_results.csv";
-      link.click();
-    }