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app.py

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+import g4f
+import gradio as gr
+
+# ✅ Function to Get GPT-4 Response
+def get_gpt4_response(user_message, history=[]):
+    try:
+        # Construct the conversation history for the model
+        messages = []
+        for user, assistant in history:
+            messages.append({"role": "user", "content": user})
+            messages.append({"role": "assistant", "content": assistant})
+
+        # Add the new user message
+        messages.append({"role": "user", "content": user_message})
+
+        # Generate response from GPT-4
+        response = g4f.ChatCompletion.create(
+            model="gpt-4",
+            messages=messages
+        )
+        
+        return response  # ✅ Return only the response as a string (Gradio handles history)
+    
+    except Exception as e:
+        print(f"Error occurred: {e}")  # Log the error
+        return "⚠️ Sorry, there was an issue processing your request."
+
+# ✅ Define the Gradio Interface (Hugging Face requires this)
+demo = gr.ChatInterface(
+    fn=get_gpt4_response,
+    examples=["Hello!", "Tell me a joke!", "What is AI?"],
+    cache_examples=False
+)
+
+# ✅ No need for `if __name__ == "__main__"` in Hugging Face
+demo.launch()

requirements.txt

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+gradio
+g4f