Create app.py

app.py

@@ -0,0 +1,54 @@
+import requests
+import json
+import os
+from typing import List, Dict, Optional
+
+GradientJResponse = Dict[str,str]
+ChatHistory = List[Dict[str,str]]
+
+def gradientj_api_call(
+    scene:str="",
+    chat_history:Optional[ChatHistory]=None
+) -> GradientJResponse:
+    if chat_history is None:
+        chat_history = []
+    
+    
+    url = "https://gpt.gradientj.com/api/v0/deploy/inference"
+    headers = {
+        "Content-Type": "application/json",
+        "x-api-key": os.environ["YOUR_GJ_API_KEY"]
+    }
+    data = {
+     "model": os.environ["model_id"],
+     "params": {
+      "scene": scene
+     },
+     "chat_history": chat_history
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    
+    if response.status_code == 200:
+        return response.text
+    else:
+        error = response.text
+        return error
+
+demo = gr.Interface(
+    fn=gradientj_api_call,
+    inputs=["text"],
+    outputs=["text"],
+    examples=
+    [[
+        """SCENE 20
+EXT.ROAD WARANGAL
+Highway mida car velthundi
+Warangal board kanipistadi
+SETHUMURTHY
+(Voice)
+Bajji ichina information tho
+mundhuki vellalem.."""
+    ]],
+    title="Tinglish (Telugu in Latin) to English Translation",
+    description="Description ah? Bokka?")
+demo.launch()