Update app.py

app.py

@@ -208,28 +208,18 @@ explanations = {
     'Derrida': "Jacques Derrida, a philosopher best known for developing deconstruction, a critical approach that questions the relationship between text and meaning.",
     'Baudrillard': "Jean Baudrillard, a cultural theorist known for his analysis of consumerism, simulation, and hyperreality."
 }
+# ... [Previous code remains the same]
 
 # Function to return the explanation based on the selected artist or style
 def update_explanation(choice):
-    global selected_style
-    selected_style = choice
     return explanations.get(choice, "No explanation available.")
 
-additional_inputs=[
-    gr.Slider(
-        label="Température",
-        value=0.7,  # Default value
-        minimum=0.05,
-        maximum=1.0,
-        step=0.05,
-        interactive=True,
-        info="Des valeurs plus élevées donne plus de créativité, mais aussi d'étrangeté",
-    ),
-]
+# Adjusted predict function to handle None temperature
+def predict(user_message, selected_style, temperature=0.7):
+    # ... [Function code remains the same]
 
-# Use gradio.Blocks for a more dynamic interface
+# Define the Gradio interface using Blocks
 with gr.Blocks() as demo:
-    # Block 1: Title, Description, Dropdown, Explanation
     gr.Markdown(title)
     gr.Markdown(description)
     with gr.Row():
@@ -237,16 +227,32 @@ with gr.Blocks() as demo:
         explanation_box = gr.Textbox(label="Explanation", type="text", lines=5, interactive=False)
     dropdown.change(update_explanation, inputs=dropdown, outputs=explanation_box)
 
-    # Block 2: Embedding the Gradio Interface
-    iface = gr.Interface(
-        fn=mistral_bot.predict,
-        examples = examples,
-        inputs=[gr.Textbox(label="Question ou votre instruction", type="text", lines=5, placeholder="Commencer à écrire ici")] + additional_inputs,
-        outputs=gr.Textbox(label="Réponse", type="text", lines=5),
-        theme="carlosrosash/bellay_test",
-    )
+    # Define the columns for input and output
+    with gr.Row():
+        with gr.Column():
+            user_input = gr.Textbox(label="Question or your instruction", type="text", lines=5, placeholder="Start typing here")
+            temperature_slider = gr.Slider(label="Temperature", value=0.7, minimum=0.05, maximum=1.0, step=0.05, interactive=True)
+        with gr.Column():
+            output_text = gr.Textbox(label="Response", type="text", lines=10)
+
+    # Define the buttons
+    with gr.Row():
+        submit_button = gr.Button("Submit")
+        clear_button = gr.Button("Clear")
+
+    # Function to handle the button click for submit
+    def on_submit(user_message, selected_style, temperature):
+        return predict(user_message, selected_style, temperature)
+
+    # Function to handle the button click for clear
+    def on_clear():
+        user_input.clear()
+        temperature_slider.change(0.7)
+        output_text.clear()
+        explanation_box.update("")
+        dropdown.change("Proust")
 
-# Initialize the shared variable
-selected_style = "Proust"  # Default value or any value from your dropdown list
+    submit_button.click(on_submit, inputs=[user_input, dropdown, temperature_slider], outputs=output_text)
+    clear_button.click(on_clear)
 
-demo.launch()
+demo.launch()