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app.py

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+import gradio as gr
+import requests
+
+
+def get_response(user_input):
+    # Make a POST request to the API
+    response = requests.post(
+        "https://ai-research.quarkgen.ai/templedekho/v1/ask_chatbot",
+        json={"question": user_input}
+    )
+    
+    # Check if the request was successful
+    if response.status_code == 200:
+        # Extract the answer from the response
+        answer = response.text  # Assuming the API response is already a string
+        return answer
+    else:
+        return "Sorry, there was an error with your request."
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=get_response,  # Function to call when user submits input
+    inputs="text",  # Input type
+    outputs="text",  # Output type
+    title="Temple Dekho Chat Bot",
+    description="Ask a question about temples or rituals and get answers from the Guru!"
+)
+
+iface.launch(share=True)

requirements.txt

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+requests
+gradio