Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import requests
+import os
+
+# Load API URL and token from environment variables
+API_URL = os.getenv("HF_API_URL", "https://api-inference.huggingface.co/models/your-model")
+API_TOKEN = os.getenv("HF_API_TOKEN", "your-default-token")  # Replace with your actual token for fallback
+
+# Function to call the Hugging Face Inference API
+def call_huggingface_api(input_text):
+    headers = {"Authorization": f"Bearer {API_TOKEN}"}
+    payload = {"inputs": input_text}
+    try:
+        response = requests.post(API_URL, headers=headers, json=payload)
+        if response.status_code == 200:
+            data = response.json()
+            return f"Question: {input_text}\nAnswer: {data.get('answer', 'No answer found.')}\nConfidence: {data.get('confidence', 'N/A')}"
+        else:
+            return f"Error: {response.status_code} - {response.text}"
+    except Exception as e:
+        return f"Error during API call: {e}"
+
+# Gradio Interface
+gr.Interface(
+    fn=call_huggingface_api,
+    inputs="text",
+    outputs="text",
+    examples=[
+        ["Who is rahul7star?"],
+        ["What does Rahul7star do?"],
+        ["Tell me about Rahul7star"]
+    ],
+    title="Ask Rahul7star AI",
+    description="Ask questions about rahul7star and get answers powered by Hugging Face Inference API."
+).launch()