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.env.template

@@ -0,0 +1 @@
+OPENAI_API_KEY=

README.md

@@ -4,4 +4,7 @@ app_file: app.py
 sdk: gradio
 sdk_version: 5.10.0
 ---
+
 # Transcript summarizer
+
+This is a Gradio app that summarizes a transcript using OpenAI.

app.py

@@ -2,37 +2,41 @@ import gradio as gr
 
 from transcript_transformer import TranscriptTransformer
 
+transformer = TranscriptTransformer()
 
-def create_gradio_interface() -> gr.Interface:
-    """Create and launch the Gradio interface."""
-    transformer = TranscriptTransformer()
-
-    def process_transcript(transcript: str, duration: int) -> str:
-        return transformer.generate_lecture(transcript, duration)
-
-    return gr.Interface(
-        fn=process_transcript,
-        inputs=[
-            gr.Textbox(
-                label="Input Transcript",
-                placeholder="Paste your transcript here...",
-                lines=10,
-            ),
-            gr.Slider(
-                minimum=15,
-                maximum=60,
-                value=30,
-                step=15,
-                label="Lecture Duration (minutes)",
-            ),
-        ],
-        outputs=gr.Markdown(label="Transformed Teaching Transcript"),
-        title="Transcript to Teaching Material Transformer",
-        description="""Transform transcripts into teaching materials.
-        The output will be formatted as a complete lecture with clear sections,
-        examples, and interactive elements.""",
-        theme="default",
-    )
-
-
-create_gradio_interface().launch()
+
+def process_transcript(transcript: str, duration: int):
+    yield gr.update(value="Building the lecture..", visible=True)
+
+    transformed_transcript = transformer.generate_lecture(transcript, duration)
+
+    yield gr.update(value=transformed_transcript, visible=True)
+
+
+demo = gr.Interface(
+    fn=process_transcript,
+    inputs=[
+        gr.Textbox(
+            label="Input Transcript",
+            placeholder="Paste your transcript here...",
+            lines=10,
+        ),
+        gr.Slider(
+            minimum=15,
+            maximum=60,
+            value=30,
+            step=15,
+            label="Lecture Duration (minutes)",
+        ),
+    ],
+    outputs=gr.Markdown(label="Transformed Teaching Transcript"),
+    title="Transcript to Teaching Material Transformer",
+    description="""Transform transcripts into teaching materials.
+    The output will be formatted as a complete lecture with clear sections,
+    examples, and interactive elements.""",
+    theme="default",
+)
+
+
+if __name__ == "__main__":
+    demo.launch()