initial commit

it is my first appli. i am bad in history but to help me for my homework.

app.py

@@ -0,0 +1,62 @@
+import openai
+import gradio as gr
+
+def openai_chat(api_key, system_prompt, user_prompt, temperature, max_tokens, top_p):
+    try:
+        # Set the OpenAI API key
+        openai.api_key = api_key
+
+        # Generate the completion
+        response = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": user_prompt},
+            ],
+            temperature=temperature,
+            max_tokens=max_tokens,
+            top_p=top_p,
+        )
+
+        # Extract the assistant's reply
+        return response['choices'][0]['message']['content']
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("""# history prof
+
+it is my first appli. i am bad in history but to help me for my homework.
+""")
+
+    api_key_input = gr.Textbox(label="OpenAI API Key", placeholder="Enter your OpenAI API key", type="password")
+    system_prompt_input = gr.Textbox(label="ethan's history prof", value="You are a history professor 5e in FRENCH.", placeholder="You are a history professor 5e in FRENCH.")
+    user_prompt_input = gr.Textbox(label="user chat", placeholder="metez votre question ici.")
+
+    temperature_slider = gr.Slider(label="Temperature", minimum=0.0, maximum=1.0, value=0.7, step=0.1)
+    max_tokens_slider = gr.Slider(label="Max Tokens", minimum=10, maximum=1024, value=100, step=10)
+    top_p_slider = gr.Slider(label="Top P", minimum=0.1, maximum=1.0, value=1.0, step=0.1)
+
+    output = gr.Textbox(label="history prof 👨‍🏫 ")
+
+    generate_button = gr.Button("📖")
+
+    generate_button.click(
+        openai_chat,
+        inputs=[
+            api_key_input, 
+            system_prompt_input, 
+            user_prompt_input, 
+            temperature_slider, 
+            max_tokens_slider, 
+            top_p_slider
+        ],
+        outputs=[output]
+    )
+
+if __name__ == "__main__":
+    demo.launch()
+
+#Merci papa de m'avoir offert cet ordi ❤️❤️❤️