Update app.py

app.py

@@ -4,25 +4,18 @@ from groq import Groq
 def clean_text_from_file(file_path):
     with open(file_path, "r", encoding="utf-8") as file:
         text = file.read()
-    # Qui puoi aggiungere la logica per pulire il testo
-    # ad esempio, rimuovendo parti non desiderate
-    # o applicando altre trasformazioni necessarie
-    # Una volta pulito, restituisci il testo
     return text 
 
 def generate_narrative_arc(narrative_arc):
-    if narrative_arc == "Hero's Journey":
-        return "Il viaggio dell'eroe"
-    elif narrative_arc == "Story Cycle":
-        return "Il ciclo della storia"
-    elif narrative_arc == "Motivation Sequence":
-        return "La sequenza di motivazione"
-    elif narrative_arc == "Narrative Transportation":
-        return "Il trasporto narrativo"
-    elif narrative_arc == "Narrative Persuasion":
-        return "La persuasione narrativa"
-    elif narrative_arc == "Conciso":
-        return "Conciso e Super Stringato"
+    narrative_mapping = {
+        "Hero's Journey": "Il viaggio dell'eroe",
+        "Story Cycle": "Il ciclo della storia",
+        "Motivation Sequence": "La sequenza di motivazione",
+        "Narrative Transportation": "Il trasporto narrativo",
+        "Narrative Persuasion": "La persuasione narrativa",
+        "Conciso": "Conciso e Super Stringato"
+    }
+    return narrative_mapping.get(narrative_arc, "")
     
 def generate_marketing_model(marketing_model):
     if marketing_model in ["PAS", "AIDA", "BAB", "4Cs", "So What", "PPPP", "SSS", "FAB", "SLAP", "4Us"]:
@@ -311,7 +304,10 @@ def generate_response(input_testuale_utente, tones, output_type, narrative_arc,m
     output_textbox_1 = "### Tones Selected: " + ', '.join(tones) + "\n\n" "### Assistant Message: " + assistant_message
     output_textbox_2 = response_content
 
-    return output_html, output_textbox_1, output_textbox_2
+    print("Prompt composto per te:", assistant_message)  # This line prints the debug information to the terminal
+
+    # Return only the necessary outputs for the Gradio interface, excluding the debug information
+    return output_html, output_textbox_2
 
 choices = ["📝 Formal", "🎉 Informal", "📏 Long", "📐 Short", "💡 Inspiring", "😄 Ironic"]
 output_types = ["REVIEW Reply", "Facebook Post", "Instagram Post", "Linkedin Post", "EMAIL Reply", "NEWSLETTER", "Marketing Strategy", "Coaching", "Hotel Management"]
@@ -321,29 +317,22 @@ personifications = ["🏨 Brand / Hotel", "🧑‍🏫 Coach", "👨‍💼 Hote
 languages = ["Italian", "English", "French", "Spanish"] # Add more languages as needed
 
 
-additional_text_output_prompt = gr.Textbox(label="Prompt composto per te:", placeholder="...")
+#additional_text_output_prompt = gr.Textbox(label="Prompt composto per te:", placeholder="...")
 
 
 iface = gr.Interface(
     fn=generate_response,
     inputs=[
         gr.Textbox(label="Trasformo le tue idee in cose pratiche. Copia incolla e Vai!"),
-        #gr.HTML("<h3>Stile del Messaggio</h3>"),
         gr.CheckboxGroup(choices=choices, label="Toni e preferenze"),
-        #gr.HTML("<h3>A cosa ti serve?</h3>"),
         gr.Radio(choices=output_types, label="Output Type", value="Ecco la magia..."),
-        #gr.HTML("<h3>Applica STORYTELLING</h3>"),
         gr.Radio(choices=narrative_arcs, label="Scegli un arco narrativo"),
-        #gr.HTML("<h3>Applica Marketing Framework</h3>"),
         gr.Radio(choices=marketing_models, label="Scegli un marketing model"),
-        #gr.HTML("<h3>\"CHI\" risponde?</h3>"),
         gr.Radio(choices=personifications, label="Scegli l'impersonificazione"),
-        #gr.HTML("<h3>In Quale Lingua?</h3>"),
         gr.Radio(choices=languages, label="Select output language")
         ],
     outputs=[
         gr.HTML("<h3>Prompt Utilizzato</h3>"),
-        additional_text_output_prompt,
         gr.Textbox(label="Ecco a te")
     ],
     title="Hotel Guru Assistant",