Update app.py

app.py

@@ -1,60 +1,30 @@
-import asyncio
-asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())  # avoid fd errors
-
-import os
 import gradio as gr
 from openai import OpenAI
-from fastapi import FastAPI
-import uvicorn
-
-HF_API_KEY = os.getenv("HF_TOKEN")
 
+# Initialize the Hugging Face API client
 client = OpenAI(
     base_url="https://router.huggingface.co/v1",
-    api_key=HF_API_KEY
+    api_key= os.getenv("HF_TOKEN")
 )
 
-def chat_with_model(user_message, history):
-    if history is None:
-        history = []
-
-    messages = [{"role": "system", "content": "You are a helpful assistant."}]
-
-    for human, bot in history:
-        messages.append({"role": "user", "content": human})
-        messages.append({"role": "assistant", "content": bot})
-
-    messages.append({"role": "user", "content": user_message})
-
-    try:
-        completion = client.chat.completions.create(
-            model="openai/gpt-oss-20b:nebius",
-            messages=messages
-        )
-        reply = completion.choices[0].message["content"]
-    except Exception as e:
-        reply = f"Error: {e}"
-
-    history.append((user_message, reply))
-    return history
-
-
-with gr.Blocks() as interface:
-    gr.Markdown("## 🤖 Chat with HuggingFace Router API (OpenAI-Compatible)")
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(label="Message")
-
-    msg.submit(chat_with_model, [msg, chatbot], chatbot)
-    msg.submit(lambda: "", None, msg)
-
-# FastAPI wrapper to avoid file-descriptor errors
-app = FastAPI()
-
-@app.get("/")
-def read_main():
-    return {"message": "Gradio app is running"}
-
-app = gr.mount_gradio_app(app, interface, path="/chat")
+# Function to interact with the model
+def chat_with_model(user_input):
+    completion = client.chat.completions.create(
+        model="openai/gpt-oss-20b:nebius",
+        messages=[
+            {"role": "user", "content": user_input}
+        ],
+    )
+    return completion.choices[0].message['content']
+
+# Gradio interface
+iface = gr.Interface(
+    fn=chat_with_model,
+    inputs=gr.Textbox(lines=5, placeholder="Type your message here..."),
+    outputs=gr.Textbox(label="Response"),
+    title="Hugging Face GPT-OSS Chat",
+    description="Chat with GPT-OSS 20B model deployed via Hugging Face API"
+)
 
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+# Launch the interface
+iface.launch()