Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+
+# Set your Hugging Face API key
+API_KEY = os.getenv("HF_API_KEY")
+
+# Hugging Face Model Endpoint (Change to your preferred LLM)
+MODEL_NAME = "mistralai/Mistral-7B-Instruct"
+
+# Function to get response from Hugging Face LLM
+def chat_with_llm(prompt):
+    headers = {"Authorization": f"Bearer {API_KEY}"}
+    payload = {"inputs": prompt}
+    response = requests.post(
+        f"https://api-inference.huggingface.co/models/{MODEL_NAME}",
+        headers=headers,
+        json=payload
+    )
+    return response.json()[0]["generated_text"]
+
+# Create Gradio Chat UI
+iface = gr.Interface(
+    fn=chat_with_llm,
+    inputs=gr.Textbox(label="Ask me anything"),
+    outputs=gr.Textbox(label="AI Response"),
+    title="AI Chatbot with Hugging Face API",
+    description="A free AI chatbot using Hugging Face's API. Supports multiple LLMs!",
+)
+
+# Launch App
+iface.launch()