Update app.py

app.py

@@ -1,33 +1,34 @@
 import gradio as gr
 import requests
+import json
 
-def generate_response(prompt):
-    endpoint = 'https://api.together.xyz/v1/chat/completions'
-    headers = {
-        "Authorization": "Bearer YOUR_API_KEY",
-    }
-    payload = {
-        "model": "meta-llama/Llama-2-70b-chat-hf",
-        "max_tokens": 512,
-        "prompt": "[INST] {prompt} [/INST]",
-        "request_type": "language-model-inference",
-        "temperature": 0.7,
-        "top_p": 0.7,
-        "top_k": 50,
-        "repetition_penalty": 1,
-        "stop": ["[/INST]", ""],
-        "promptObj": {"prompt": ""},
-    }
-    response = requests.post(endpoint, json=payload, headers=headers)
-    return response.json()["choices"][0]["text"]
+def get_spell_correction(input_text):
+    response = requests.post(
+        "https://api.respell.ai/v1/run",
+        headers={
+            "Authorization": "Bearer 260cee54-6d54-48ba-92e8-bf641b5f4805",
+            "Accept": "application/json",
+            "Content-Type": "application/json"
+        },
+        data=json.dumps({
+            "spellId": "1th5Ic7ZnMmZXBtZCfR7-",
+            # This field can be omitted to run the latest published version
+            "spellVersionId": "-NTOo8UsyhC-3g52p7ExZ",
+            # Fill in a value for your dynamic input block
+            "inputs": {
+                "pregunta": input_text,
+            }
+        }),
+    )
+    return response.json()["results"]["corrections"]["pregunta"]["text"]
 
 iface = gr.Interface(
-    fn=generate_response,
+    fn=get_spell_correction,
     inputs="text",
     outputs="text",
-    title="Llama Chatbot",
-    description="Chat with the Llama chatbot model.",
-    example="What is the weather like today?",
+    title="Respell Spell Checker",
+    description="Correct spelling using the Respell API.",
+    example="Enter your text here...",
 )
 
 iface.launch()