Update app.py

app.py

@@ -1,10 +1,12 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
 import os
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
+# Gradio app + FastAPI mount
+app = FastAPI()
+
 client = InferenceClient(
     model="HuggingFaceH4/zephyr-7b-beta",
     token=os.getenv("huggingface_token"),
@@ -38,14 +40,36 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
+# Define FastAPI POST endpoint
+@app.post("/chat")
+async def chat(request: Request):
+    data = await request.json()
+
+    message = data.get("message")
+    persona = data.get("persona", "You are a friendly Chatbot.")
+    max_tokens = data.get("max_tokens", 512)
+    temperature = data.get("temperature", 0.7)
+    top_p = data.get("top_p", 0.95)
+
+    messages = [{"role": "system", "content": persona}, {"role": "user", "content": message}]
+    full_response = ""
+
+    for chunk in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        full_response += chunk.choices[0].delta.content or ""
+
+    return JSONResponse({"response": full_response})
+
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio demo for UI access
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -57,11 +81,9 @@ demo = gr.ChatInterface(
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+            label="Top-p (nucleus sampling)"),
     ],
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+# Mount Gradio app at "/"
+app = gr.mount_gradio_app(app, demo, path="/")