remove pydantic and update api for base

main.py

@@ -1,7 +1,7 @@
 from fastapi import FastAPI
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse
-from pydantic import BaseModel
+# from pydantic import BaseModel
 import spacy
 from spacy.matcher import Matcher
 
@@ -10,14 +10,14 @@ nlp = spacy.load("en_core_web_sm")
 matcher = Matcher(nlp.vocab)
 
 # Define a Pydantic model for the request body
-class TextInput(BaseModel):
-    text: str
+# class TextInput(BaseModel):
+#     text: str
 
 @app.get("/score_text")
-def score_text(text_input: TextInput):
+def score_text(text_input):
     """Endpoint to score text for uncertain statements using spaCy Matcher."""
     # Load the text into spaCy's nlp object
-    doc = nlp(text_input.text)
+    doc = nlp(text_input)
 
     # Define spaCy Matcher patterns for uncertain statements
     pattern1 = [{"IS_ALPHA": True, "OP": "?"}, {"ORTH": "may"}, {"IS_ALPHA": True, "OP": "?"}]

static/index.html

@@ -12,11 +12,11 @@
       <section id="text-spacy">
         <h1>Uncertainty statements</h1>
         <form class="text-spacy-form">
-          <label for="text-spacy-input">Text prompt</label>
+          <label for="text-spacy-input">Input text</label>
           <input
             id="text-spacy-input"
             type="text"
-            value="Enter a sentence to score it:"
+            value="Dear shareholders, we may face challenges in the coming quarter due to uncertain market conditions. Our revenues might be impacted by factors beyond our control, such as economic fluctuations and regulatory changes. However, we remain committed to our long-term strategy and will continue to explore new opportunities. Thank you for your continued support."
           />
           <button id="text-spacy-submit">Submit</button>
           <p class="text-spacy-output"></p>

static/script.js

@@ -1,13 +1,13 @@
-const textGenForm = document.querySelector('.text-spacy-form');
+const textSpacyForm = document.querySelector('.text-spacy-form');
 
 const translateText = async (text) => {
-    const inferResponse = await fetch(`score_text?input=${text}`);
+    const inferResponse = await fetch(`score_text?text_input=${text}`);
     const inferJson = await inferResponse.json();
-
-    return inferJson.output;
+    var jsonStr = JSON.stringify(inferJson);
+    return jsonStr;
 };
 
-textGenForm.addEventListener('submit', async (event) => {
+textSpacyForm.addEventListener('submit', async (event) => {
   event.preventDefault();
 
   const textSpacyInput = document.getElementById('text-spacy-input');

static/style.css

@@ -37,9 +37,3 @@ body {
   button {
     cursor: pointer;
   }
-  
-  .text-spacy-output {
-    min-height: 1.2rem;
-    margin: 1rem;
-    border: 0.5px solid grey;
-  }