Create app.py

app.py

@@ -0,0 +1,53 @@
+import os
+import json
+import gradio as gr
+import requests
+
+
+LANGUAGES = ['Bengali', 'Hindi', 'Tamil', 'English', 'German', 'Telugu', 'French', 'Spanish', 'Kannada', 'Dutch']
+
+def get_alternate_text(text, language):
+    ENDPOINT = "https://api.openai.com/v1/chat/completions"
+    headers = {
+        "Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}",
+        "Content-Type": "application/json",
+    }
+    system_prompt = f"Please rephrase this text in {language} in a manner that it is natural sounding, very concise but without any key information loss. Give 3 such texts separated by new line."
+    prompt = f"""Text:
+---
+{text}
+---
+"""
+    payload = {
+        "model": "gpt-3.5-turbo",
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.4
+    }
+    response = requests.post(ENDPOINT, data=json.dumps(payload), headers=headers)
+    text = None
+    while text is None:
+        try:
+            text = response.json().get('choices')[0]['message']['content'].strip("\n").replace('"', "")
+        except Exception as e:
+            print(e)
+            response = requests.post(ENDPOINT, data=json.dumps(payload), headers=headers)
+            continue
+    return text
+
+language = gr.Dropdown(LANGUAGES, value="Spanish", label="Language")
+text = gr.Textbox(lines=4, label="Text")
+
+interface = gr.Interface(
+    get_alternate_text, 
+    [text, language], 
+    'text',
+    title="Deepsync Text Rephraser"
+)
+
+if __name__=="__main__":
+    interface.launch(
+        auth=(os.environ.get('AUTH_USERNAME'), os.environ.get('AUTH_PASSWORD'))
+    )