Update app.py

app.py

@@ -15,7 +15,9 @@ class LearningPathGenerator:
 
     def process_audio(self, 
                      audio_path: str, 
-                     difficulty: str = "intermediate") -> dict:
+                     path_name: str,
+                     difficulty: str = "intermediate",
+                     include_resources: bool = True) -> tuple:
         try:
             # Transcribe audio
             transcription = self.transcriber(audio_path)["text"]
@@ -33,36 +35,140 @@ class LearningPathGenerator:
                                    max_length=300, 
                                    num_return_sequences=1)[0]["generated_text"]
             
-            return {
-                "transcription": transcription,
-                "analysis": analysis
-            }
+            if include_resources:
+                resources = self._generate_resources()
+                analysis += "\n\n" + resources
+
+            return (
+                gr.Textbox.update(value=transcription, visible=True),
+                gr.Textbox.update(value=analysis, visible=True),
+                gr.Markdown.update(visible=True, value="✅ Learning path generated successfully!"),
+                gr.Button.update(interactive=True)
+            )
         except Exception as e:
-            return {
-                "transcription": f"Error: {str(e)}",
-                "analysis": "Could not generate analysis."
-            }
+            return (
+                gr.Textbox.update(value=f"Error: {str(e)}", visible=True),
+                gr.Textbox.update(value="Could not generate analysis.", visible=True),
+                gr.Markdown.update(visible=True, value="❌ An error occurred"),
+                gr.Button.update(interactive=True)
+            )
+
+    def _generate_resources(self) -> str:
+        return """
+        📚 Recommended Resources:
+        
+        1. Books:
+           - "Essential Guide"
+           - "Advanced Techniques"
+           
+        2. Online Courses:
+           - Coursera: "Topic Specialization"
+           - edX: "Advanced Course"
+           
+        3. Practical Resources:
+           - Interactive tutorials
+           - Practice exercises
+           - Real-world projects
+        """
 
 def create_interface():
-    app = gr.Interface(
-        fn=LearningPathGenerator().process_audio,
-        inputs=[
-            gr.Audio(type="filepath", label="Upload Audio"),
-            gr.Dropdown(
-                choices=["beginner", "intermediate", "advanced"],
-                value="intermediate",
-                label="Difficulty Level"
-            )
-        ],
-        outputs=[
-            gr.Textbox(label="Audio Transcription"),
-            gr.Textbox(label="Learning Path")
-        ],
-        title="🎓 Learning Path Generator",
-        description="Upload an audio file describing your learning goals and receive a personalized learning path!"
-    )
+    with gr.Blocks(theme=gr.themes.Soft(
+        primary_hue="blue",
+        secondary_hue="purple",
+        neutral_hue="gray"
+    )) as app:
+        gr.Markdown("""
+        # 🎓 Learning Path Generator
+        
+        Upload an audio file describing your learning goals and receive a personalized learning path!
+        """)
+        
+        with gr.Row():
+            with gr.Column(scale=2):
+                # Input components
+                with gr.Group():
+                    gr.Markdown("### 📝 Input")
+                    audio_input = gr.Audio(
+                        type="filepath",
+                        label="Audio Input",
+                        description="Record or upload an audio describing your goals",
+                        sources=["microphone", "upload"],
+                    )
+                    
+                    with gr.Row():
+                        path_name = gr.Textbox(
+                            label="Path Name",
+                            placeholder="Give your learning path a name",
+                            scale=2
+                        )
+                        difficulty = gr.Dropdown(
+                            choices=["beginner", "intermediate", "advanced"],
+                            value="intermediate",
+                            label="Difficulty Level",
+                            scale=1
+                        )
+                    
+                    include_resources = gr.Checkbox(
+                        label="Include Recommended Resources",
+                        value=True,
+                        info="Add curated learning resources to your path"
+                    )
+                    
+                    process_btn = gr.Button(
+                        "🚀 Generate Learning Path",
+                        variant="primary",
+                        scale=2
+                    )
+
+            # Output components
+            with gr.Column(scale=2):
+                with gr.Group():
+                    gr.Markdown("### 📊 Output")
+                    status = gr.Markdown(visible=False)
+                    
+                    with gr.Accordion("Audio Transcription", open=False):
+                        transcription = gr.Textbox(
+                            label="What we heard",
+                            lines=4,
+                            visible=False
+                        )
+                    
+                    analysis = gr.Textbox(
+                        label="Your Learning Path",
+                        lines=10,
+                        visible=False
+                    )
+        
+        # Event handlers
+        process_btn.click(
+            fn=LearningPathGenerator().process_audio,
+            inputs=[audio_input, path_name, difficulty, include_resources],
+            outputs=[transcription, analysis, status, process_btn],
+            api_name="generate_path"
+        )
+        
+        # Examples
+        gr.Examples(
+            examples=[
+                ["path_audio.mp3", "Python Programming", "beginner", True],
+                ["path_audio2.mp3", "Data Science", "intermediate", True],
+            ],
+            inputs=[audio_input, path_name, difficulty, include_resources],
+            outputs=[transcription, analysis, status, process_btn],
+            cache_examples=True,
+        )
+        
+        # Add additional info
+        gr.Markdown("""
+        ### 📌 Tips
+        - Speak clearly and describe your learning goals in detail
+        - Mention any previous experience in the subject
+        - Include any specific areas you want to focus on
+        """)
+
     return app
 
 if __name__ == "__main__":
     app = create_interface()
+    app.queue()
     app.launch()