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src/app.py

@@ -23,7 +23,6 @@ TRANSLATIONS = {
         "guiding_prompt_info": "The Guiding Prompt allows you to provide specific instructions to modify the generated content, like output/desired LANGUAGE. You can use it to change the tone, style, focus ONLY on specific sections of the text, specify the output language (e.g., 'Generate in Spanish/French/German'), or give any other instruction that helps personalize the final result.",
         "duration_label": "Target Lecture Duration (minutes)",
         "examples_label": "Include Practical Examples",
-        "thinking_model_label": "Use Experimental Thinking Model (Gemini Only)",
         "submit_button": "Transform Transcript",
         "output_label": "Generated Teaching Transcript",
         "error_no_pdf": "Error: No PDF file uploaded",
@@ -46,7 +45,6 @@ TRANSLATIONS = {
         "guiding_prompt_info": "Las Instrucciones Guía te permiten proporcionar indicaciones específicas para modificar el contenido generado, como el IDIOMA deseado. Puedes usarlas para cambiar el tono, estilo, enfocarte SOLO en secciones específicas del texto, especificar el idioma de salida (ej., 'Generar en inglés/francés/alemán'), o dar cualquier otra instrucción que ayude a personalizar el resultado final.",
         "duration_label": "Duración Objetivo de la Clase (minutos)",
         "examples_label": "Incluir Ejemplos Prácticos",
-        "thinking_model_label": "Usar Modelo de Pensamiento Experimental (Solo Gemini)",
         "submit_button": "Transformar Transcripción",
         "output_label": "Guión de Enseñanza Generado",
         "error_no_pdf": "Error: No se ha subido ningún archivo PDF",
@@ -80,9 +78,7 @@ class TranscriptTransformerApp:
                            raw_text_input: str = "",
                            initial_prompt: str = "",
                            target_duration: int = 30,
-                           include_examples: bool = True,
-                           use_gemini: bool = True,
-                           use_thinking_model: bool = False) -> str:
+                           include_examples: bool = True) -> str:
         """
         Process uploaded transcript and transform it into a teaching transcript
         
@@ -94,21 +90,12 @@ class TranscriptTransformerApp:
             initial_prompt: Additional guiding instructions for the content generation
             target_duration: Target lecture duration in minutes
             include_examples: Whether to include practical examples
-            use_gemini: Whether to use Gemini API instead of OpenAI
-            use_thinking_model: Requires use_gemini=True
             
         Returns:
             str: Generated teaching transcript
         """
         try:
-            # Force enable Gemini if thinking model is selected
-            if use_thinking_model:
-                use_gemini = True
-                
-            self.transformer = TranscriptTransformer(
-                use_gemini=use_gemini,
-                use_thinking_model=use_thinking_model
-            )
+            self.transformer = TranscriptTransformer()
             
             # Get text based on input type
             if input_type == TRANSLATIONS[language]["input_type_options"][0]:  # PDF
@@ -187,7 +174,6 @@ class TranscriptTransformerApp:
             translations["guiding_prompt_info"],
             translations["duration_label"],
             translations["examples_label"],
-            translations["thinking_model_label"],
             translations["submit_button"],
             translations["output_label"]
         ]
@@ -249,23 +235,18 @@ class TranscriptTransformerApp:
             
             # Settings row
             with gr.Row():
-                target_duration = gr.Number(
+                target_duration = gr.Slider(
                     label=TRANSLATIONS["en"]["duration_label"],
+                    minimum=5,
+                    maximum=180,
                     value=30,
-                    minimum=2,
-                    maximum=60,
-                    step=1
+                    step=5
                 )
                 
                 include_examples = gr.Checkbox(
                     label=TRANSLATIONS["en"]["examples_label"],
                     value=True
                 )
-                
-                use_thinking_model = gr.Checkbox(
-                    label=TRANSLATIONS["en"]["thinking_model_label"],
-                    value=True
-                )
             
             # Submit button
             with gr.Row():
@@ -320,7 +301,6 @@ class TranscriptTransformerApp:
                     gr.update(label=translations["guiding_prompt_label"], placeholder=translations["guiding_prompt_placeholder"], info=translations["guiding_prompt_info"]),
                     gr.update(label=translations["duration_label"]),
                     gr.update(label=translations["examples_label"]),
-                    gr.update(label=translations["thinking_model_label"]),
                     translations["submit_button"],
                     gr.update(label=translations["output_label"]),
                     gr.update(label=translations["show_timestamps"])
@@ -341,7 +321,7 @@ class TranscriptTransformerApp:
                     input_type, input_type,
                     file_input, text_input,
                     initial_prompt,
-                    target_duration, include_examples, use_thinking_model,
+                    target_duration, include_examples,
                     submit_btn, output,
                     timestamps_checkbox
                 ]
@@ -364,16 +344,15 @@ class TranscriptTransformerApp:
                     text_input,
                     initial_prompt,
                     target_duration,
-                    include_examples,
-                    use_thinking_model
+                    include_examples
                 ],
                 outputs=output
             )
             
             # Example for PDF input
             gr.Examples(
-                examples=[[example_pdf, "", "", 30, True, True]],
-                inputs=[file_input, text_input, initial_prompt, target_duration, include_examples, use_thinking_model]
+                examples=[[example_pdf, "", "", 30, True]],
+                inputs=[file_input, text_input, initial_prompt, target_duration, include_examples]
             )
         
         interface.launch(share=True)