restoring lemur examples now that they're public

lemur-feedback/file.cs

@@ -0,0 +1,74 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+public class LemurFetcher
+{
+    // Function to make a POST request to LeMUR
+    public async Task<dynamic> PostLemur(string apiToken, string transcriptId)
+    {
+        // The URL of the AssemblyAI API endpoint
+        string url = "https://api.staging.assemblyai-labs.com/beta/generate/summary";
+
+        // Create a new dictionary with the audio URL
+        var data = new Dictionary<string, dynamic>()
+        {
+            { "transcript_ids", new List<string>{transcriptId} },
+            { "context", "this is a sales call" },
+            { "answer_format", "short summary"}
+        };
+
+        // Create a new HttpClient to make the HTTP requests
+        using (var client = new HttpClient())
+        {
+            // Set the "authorization" header with your API token
+            client.DefaultRequestHeaders.Add("authorization", apiToken);
+
+            // Create a new JSON payload with the audio URL
+            var content = new StringContent(JsonConvert.SerializeObject(data), Encoding.UTF8, "application/json");
+
+            // Send a POST request with the JSON payload to the API endpoint
+            HttpResponseMessage response = await client.PostAsync(url, content);
+
+            // Read the response content as a string
+            var responseContent = await response.Content.ReadAsStringAsync();
+
+            // Deserialize the response content into a dynamic object
+            var responseJson = JsonConvert.DeserializeObject<dynamic>(responseContent);
+
+            // Get the LeMUR response from the output JSON
+            string lemurResponse = responseJson.response;
+            return lemurResponse;
+        }
+    }
+}
+
+public class Program
+{
+    public static void Main(string[] args)
+    {
+        string apiToken = "{your_api_token}";
+        string transcriptId = "{transcript_id}";
+
+        LemurFetcher lemurFetcher = new LemurFetcher();
+
+        try
+        {
+            // Fetch the LeMUR output using the PostLemur function
+            string lemurOutput = lemurFetcher.PostLemur(apiToken, transcriptId);
+
+            // Print the LeMUR output to the console
+            Console.WriteLine(lemurOutput);
+        }
+        catch (Exception ex)
+        {
+            // Print the error message if an exception is caught
+            Console.WriteLine($"Error: {ex.Message}");
+        }
+    }
+}

lemur-feedback/file.php

@@ -0,0 +1,50 @@
+<?php
+
+// Function that sends a request to the LeMUR API
+function lemur_post($api_token, $transcript_id) {
+    // Set the API endpoint URL
+    $url = "https://api.staging.assemblyai-labs.com/beta/generate/summary";
+
+    // Set the request headers for the API
+    $headers = [
+        "authorization: " . $api_token,
+        "content-type: application/json"
+    ];
+
+    // Set the data to be sent in the API request
+    $data = [
+        "transcript_ids" => [$transcript_id],
+        "context" => "this is a sales call",
+        "answer_format" => "short summary"
+    ];
+
+    // Initialize a cURL session for the API endpoint
+    $curl = curl_init($url);
+
+    // Set the options for the cURL session for the API request
+    curl_setopt($curl, CURLOPT_POST, true);
+    curl_setopt($curl, CURLOPT_POSTFIELDS, json_encode($data));
+    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
+    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
+
+    // Execute the cURL session and decode the response
+    $response = json_decode(curl_exec($curl), true);
+
+    // Close the cURL session
+    curl_close($curl);
+
+    // Get the LeMUR output from the API response
+    $lemur_response = $response['response'];
+}
+
+try {
+    $api_token = "YOUR-API-TOKEN";
+    $transcript_id = "TRANSCRIPT-ID";
+
+    $lemur_output = lemur_post($api_token, $transcript_id);
+    echo $lemur_output;
+} catch (Exception $e) {
+    echo 'Error: ' . $e->getMessage();
+}
+
+?>

lemur-feedback/file.py

@@ -0,0 +1,39 @@
+import requests
+import json
+import sys
+
+def post_lemur(api_token, transcript_id):
+    # Set the API endpoint for creating a new LeMUR response
+    url = "https://api.staging.assemblyai-labs.com/beta/generate/summary"
+
+    # Set the headers for the request, including the API token and content type
+    headers = {
+        "authorization": api_token,
+        "content-type": "application/json"
+    }
+
+    # Set the data for the request, including the ID of the transcript to be analyzed
+    data = {
+        "transcript_ids": [
+            transcript_id
+        ],
+        "context": "this is a sales call",
+        "answer_format": "short summary"
+    }
+
+    # Send a POST request to the API to create a new transcript, passing in the headers and data
+    response = requests.post(url, json=data, headers=headers)
+
+    # Get the LeMUR response from the JSON data
+    lemur_response = response.json()['response']
+
+    return lemur_response
+
+your_api_token = "{your_api_token}"
+transcript_id = sys.argv[1]
+
+# Get output from LeMUR
+lemur_output = post_lemur(your_api_token, transcript_id)
+
+# Print the summary
+print(lemur_output)

lemur-feedback/file.rb

@@ -0,0 +1,52 @@
+require "net/http"
+require "json"
+
+# Function that sends a request to the LeMUR API
+def post_lemur(api_token, transcript_id)
+  # The URL for the AssemblyAI API
+  url = "https://api.staging.assemblyai-labs.com/beta/generate/summary"
+
+  headers = {
+      # The authorization header with your AssemblyAI API token
+      "authorization" => api_token,
+
+      # The content-type header for the request body
+      "content-type" => "application/json"
+  }
+
+  data = {
+      "transcript_ids" => [transcript_id],
+      "context" => "this is a sales call",
+      "answer_format" => "short summary"
+  }
+
+  # Parse the API endpoint URL into a URI object
+  uri = URI.parse(url)
+
+  # Create a new Net::HTTP object for making the API request
+  http = Net::HTTP.new(uri.host, uri.port)
+
+  # Use SSL for secure communication
+  http.use_ssl = true
+
+  # Create a new HTTP POST request with the API endpoint URL and headers
+  request = Net::HTTP::Post.new(uri.request_uri, headers)
+
+  # Set the request body to the data hash, converted to JSON format
+  request.body = data.to_json
+
+  # Send the API request and store the response object
+  response = http.request(request)
+
+  # Get the LeMUR response from the JSON
+  parsed_json = JSON.parse(response.body)
+  lemur_response = parsed_json["response"]
+  return lemur_response
+end
+
+# Replace {your_api_token} with your actual API token
+api_token = "{your_api_token}"
+transcript_id = "{transcript_id}"
+
+lemur_output = post_lemur(api_token, transcript_id)
+puts lemur_output

lemur-feedback/file.ts

@@ -0,0 +1,31 @@
+import axios from 'axios';
+
+const API_TOKEN = 'your_api_token';
+const TRANSCRIPT_ID = 'transcript_id';
+
+// Function that sends a request to the Lemur API
+async function lemurPost(api_token: string, transcriptId: string) {
+  const headers = {
+    authorization: api_token,
+    'content-type': 'application/json',
+  };
+
+  // Send a POST request to the LeMUR API with the transcript ID in the request body
+  const response = await axios.post('https://api.staging.assemblyai-labs.com/beta/generate/summary', {
+    "transcript_ids": [
+      transcriptId
+    ],
+    "context": "this is a sales call",
+    "answer_format": "short summary"
+  }, { headers });
+
+  // Retrieve the LeMUR API response
+  return response.data["response"];
+}
+
+async function main() {
+  const lemurResponse = await lemurPost(API_TOKEN, TRANSCRIPT_ID);
+  console.log(lemurResponse);
+}
+
+main();

lemur-qa/file.cs

@@ -0,0 +1,70 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Net.Http;
+using System.Text;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+
+public class LemurFetcher
+{
+    // Function to make a POST request to LeMUR
+    public async Task<dynamic> PostLemur(string apiToken, string transcriptId)
+    {
+        // The URL of the AssemblyAI API endpoint
+        string url = "https://api.staging.assemblyai-labs.com/beta/generate/question-answer";
+
+        // Create a new dictionary with the LeMUR API parameters
+        var PostBodyJson = @"{""transcript_ids"": [" + @"], ""questions"": [{""question"": ""Is this caller a qualified buyer?"", ""answer_options"": [""Yes"", ""No""]}, {""question"": ""Classify the call into one of the following scenarios"", ""answer_options"": [""Follow-up"", ""2nd Call""], ""context"": ""Anytime it is clear that the caller is calling back a second time about the same topic""}, {""question"": ""What is the caller\'s mood?"", ""answer_format"": ""Short sentence""}]}";
+        var data = JsonSerializer.Deserialize<Dictionary<string, string>>(PostBodyJson);
+
+        // Create a new HttpClient to make the HTTP requests
+        using (var client = new HttpClient())
+        {
+            // Set the "authorization" header with your API token
+            client.DefaultRequestHeaders.Add("authorization", apiToken);
+
+            // Create a new JSON payload with the audio URL
+            var content = new StringContent(JsonConvert.SerializeObject(data), Encoding.UTF8, "application/json");
+
+            // Send a POST request with the JSON payload to the API endpoint
+            HttpResponseMessage response = await client.PostAsync(url, content);
+
+            // Read the response content as a string
+            var responseContent = await response.Content.ReadAsStringAsync();
+
+            // Deserialize the response content into a dynamic object
+            var responseJson = JsonConvert.DeserializeObject<dynamic>(responseContent);
+
+            // Get the LeMUR response from the output JSON
+            string lemurResponse = responseJson.response;
+            return lemurResponse;
+        }
+    }
+}
+
+public class Program
+{
+    public static void Main(string[] args)
+    {
+        string apiToken = "{your_api_token}";
+        string transcriptId = "{transcript_id}";
+
+        LemurFetcher lemurFetcher = new LemurFetcher();
+
+        try
+        {
+            // Fetch the LeMUR output using the PostLemur function
+            string lemurOutput = lemurFetcher.PostLemur(apiToken, transcriptId);
+
+            // Print the LeMUR output to the console
+            Console.WriteLine(lemurOutput);
+        }
+        catch (Exception ex)
+        {
+            // Print the error message if an exception is caught
+            Console.WriteLine($"Error: {ex.Message}");
+        }
+    }
+}

lemur-qa/file.php

@@ -0,0 +1,69 @@
+<?php
+
+// Function that sends a request to the LeMUR API
+function lemur_post($api_token, $transcript_id) {
+    // Set the API endpoint URL
+    $url = "https://api.staging.assemblyai-labs.com/beta/generate/question-answer";
+
+    // Set the request headers for the API
+    $headers = [
+        "authorization: " . $api_token,
+        "content-type: application/json"
+    ];
+
+    // Set the data to be sent in the API request
+    $data = [
+        "transcript_ids" => [$transcript_id],
+        "questions" => [
+            [
+                "question" => "Is this caller a qualified buyer?",
+                "answer_options" => [
+                    "Yes",
+                    "No"
+                ]
+            ],
+            [
+                "question" => "Classify the call into one of the following scenarios",
+                "answer_options" => [
+                    "Follow-up",
+                    "2nd Call"
+                ],
+                "context" => "Anytime it is clear that the caller is calling back a second time about the same topic"
+            ],
+            [
+                "question" => "What is the caller's mood?",
+                "answer_format" => "Short sentence"
+            ]
+        ]
+    ];
+
+    // Initialize a cURL session for the API endpoint
+    $curl = curl_init($url);
+
+    // Set the options for the cURL session for the API request
+    curl_setopt($curl, CURLOPT_POST, true);
+    curl_setopt($curl, CURLOPT_POSTFIELDS, json_encode($data));
+    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
+    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
+
+    // Execute the cURL session and decode the response
+    $response = json_decode(curl_exec($curl), true);
+
+    // Close the cURL session
+    curl_close($curl);
+
+    // Get the LeMUR output from the API response
+    $lemur_response = $response['response'];
+}
+
+try {
+    $api_token = "YOUR-API-TOKEN";
+    $transcript_id = "TRANSCRIPT-ID";
+
+    $lemur_output = lemur_post($api_token, $transcript_id);
+    echo $lemur_output;
+} catch (Exception $e) {
+    echo 'Error: ' . $e->getMessage();
+}
+
+?>