kopia lustrzana https://github.com/learn-awesome/learndb
removed the functionality from the gpt analysis function
rodzic
e864cdb99a
commit
d83b03cc09
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@ -47,9 +47,16 @@ async function performGPTAnalysis(simplifiedContent, apiKey) {
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// Implement logic to send content to Mistral-7b via OpenRouter for GPT analysis
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// Send content and receive GPT analysis response
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// Placeholder code
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const inferredMediaType = ["article"];
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const extractedTopics = ["topic1", "topic2"];
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return { inferredMediaType, extractedTopics };
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const inferredMediaType = "article";
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// const extractedTopics = ["topic1", "topic2"];
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const configuration = new Configuration({
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apiKey: apiKey, // Use the provided API key
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baseURL: "https://openrouter.ai/api/v1" // Your custom API endpoint
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});
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const openai = new OpenAIApi(configuration);
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return inferredMediaType;
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}
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// Placeholder function to map inferred values to predefined formats and topics
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@ -94,18 +101,18 @@ export async function handler(event) {
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const simplifiedContent = simplifyContent(fetchedContent);
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// Step 3: Perform GPT analysis for media type and topics
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const { inferredMediaType, extractedTopics } = await performGPTAnalysis(simplifiedContent, apiKey);
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const responseText = await performGPTAnalysis(simplifiedContent, apiKey);
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// Step 4: Map inferred values to predefined formats and topics
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const { predefinedMediaType, predefinedTopics } = mapInferredValues(inferredMediaType, extractedTopics);
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// const { predefinedMediaType, predefinedTopics } = mapInferredValues(inferredMediaType, extractedTopics);
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// Step 5: Format the response
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const formattedResponse = formatResponse(predefinedMediaType, predefinedTopics);
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// const formattedResponse = formatResponse(predefinedMediaType, predefinedTopics);
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// Return the formatted response
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return {
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statusCode: 200,
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body: JSON.stringify(simplifiedContent),
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body: JSON.stringify(responseText),
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};
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} catch (error) {
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console.error('Error occurred:', error.message);
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