All tasks has been done

sentiment-analysis-task/sentiment.js

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+require('dotenv').config();
+const { OpenAI } = require('openai');
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+async function analyzeSentiment(text) {
+  try {
+    const completion = await openai.chat.completions.create({
+      model: "gpt-4",
+      messages: [
+        {
+          role: "system",
+          content: "You are a sentiment analysis assistant. Respond with only 'positive', 'negative', or 'neutral'.",
+        },
+        {
+          role: "user",
+          content: `What is the sentiment of this text: "${text}"?`,
+        },
+      ],
+    });
+
+    const sentiment = completion.choices[0].message.content.trim();
+    console.log(`Sentiment: ${sentiment}`);
+  } catch (error) {
+    console.error("Error analyzing sentiment:", error);
+  }
+}
+
+// Example usage
+const userText = "I love learning new things!";
+analyzeSentiment(userText);
+
+

task-02-claude/.env

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+require('dotenv').config();
+const axios = require('axios');
+
+async function generateCodeWithClaude() {
+  const prompt = "Write a Python function to reverse a string.";
+
+  try {
+    const response = await axios.post(
+      'https://api.anthropic.com/v1/messages',
+      {
+        model: 'claude-2', // You may need to adjust based on available models
+        max_tokens: 300,
+        messages: [{ role: 'user', content: prompt }]
+      },
+      {
+        headers: {
+          'x-api-key': process.env.ANTHROPIC_API_KEY,
+          'content-type': 'application/json',
+          'anthropic-version': '2023-06-01'
+        }
+      }
+    );
+
+    const reply = response.data.content[0].text;
+    console.log("Claude's Response:\n", reply);
+  } catch (error) {
+    console.error("Error contacting Claude API:", error.response?.data || error.message);
+  }
+}
+
+generateCodeWithClaude();

task-02-claude/03-embedding-models/generateEmbedding.js

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+require('dotenv').config();
+const axios = require('axios');
+
+const inputText = "GitHub Models are powerful!";
+
+async function getEmbeddingFromMistral() {
+  try {
+    const response = await axios.post(
+      'https://api.mistral.ai/v1/embeddings',
+      {
+        model: "mistral-embed", // Check for exact model name in API docs
+        input: inputText
+      },
+      {
+        headers: {
+          Authorization: `Bearer ${process.env.MISTRAL_API_KEY}`,
+          'Content-Type': 'application/json'
+        }
+      }
+    );
+
+    const embedding = response.data.data[0].embedding;
+    console.log("✅ Embedding Vector:\n", embedding);
+  } catch (error) {
+    console.error("❌ Error getting embedding:", error.response?.data || error.message);
+  }
+}
+
+getEmbeddingFromMistral();