test

Gradio_UI.py

@@ -292,6 +292,7 @@ class GradioUI:
                 # Description
                 examples=examples,  # Example inputs
             )
+            chatbot.example_select(self.log_user_message, [chatbot], [chatbot]).then(self.interact_with_agent, [stored_messages, chatbot], [chatbot])
             # If an upload folder is provided, enable the upload feature
             if self.file_upload_folder is not None:
                 upload_file = gr.File(label="Upload a file")
@@ -308,6 +309,7 @@ class GradioUI:
                 [stored_messages, text_input],
             ).then(self.interact_with_agent, [stored_messages, chatbot], [chatbot])
 
+
         demo.launch(debug=True, share=True, **kwargs)
 
 

QCMTest.py

@@ -0,0 +1,62 @@
+import random
+import gradio as gr
+from smolagents import tool, CodeAgent, HfApiModel
+
+# Sample questions and answers
+questions = [
+    {
+        "question": "What is the capital of France?",
+        "choices": ["Paris", "London", "Berlin", "Madrid"],
+        "answer": "Paris"
+    },
+    {
+        "question": "What is 2 + 2?",
+        "choices": ["3", "4", "5", "6"],
+        "answer": "4"
+    }
+]
+
+
+@tool
+def qcm_test(user_answer: str) -> str:
+    """
+    This tool selects a random question from a predefined list and asks the user to pick an option.
+    It returns whether the user's answer is correct or not.
+
+    Args:
+        user_answer: The user's selected answer.
+    """
+    # Select a random question
+    question = random.choice(questions)
+
+    # Check if the user's answer is correct
+    if user_answer.strip() == question['answer']:
+        return "Correct!"
+    else:
+        return f"Incorrect. The correct answer is {question['answer']}."
+
+
+# Initialize the agent with the QCM test tool
+model = HfApiModel()
+agent = CodeAgent(tools=[qcm_test], model=model)
+
+
+# Define the Gradio interface
+def gradio_qcm_test():
+    question = random.choice(questions)
+    user_answer = gr.Dropdown(label="Select your answer", choices=question['choices'])
+    result = qcm_test(user_answer)
+    return question['question'], result
+
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=gradio_qcm_test,
+    inputs=None,
+    outputs=[gr.Textbox(label="Question"), gr.Textbox(label="Result")],
+    title="QCM Test",
+    description="Select an answer to the question and see if you are correct."
+)
+
+# Launch the Gradio interface
+iface.launch()

tools/QCMTool.py

@@ -109,6 +109,8 @@ class QCMTool(Tool):
 if __name__ == "__main__":
     # Initialize the QCM tool
     qcm_tool = QCMTool(json_file="../info/questions.json")
+    question=qcm_tool._pick_random_question()
+    print(question)
 
     # Simulate a user answering 'A'
     try: