Update app.py

app.py

@@ -8,30 +8,23 @@ import tempfile
 import time
 from rhythma import RhythmaModulationEngine, RhythmaSymphAICore
 
+# Check if Groq API key is available
+has_groq_key = os.environ.get("GROQ_API_KEY") is not None
+use_groq = has_groq_key
+
+# If Groq API key is not set, show a message
+if not has_groq_key:
+    print("⚠️ GROQ_API_KEY not found in environment variables.")
+    print("To enable Groq LLM and audio transcription features, set the GROQ_API_KEY environment variable.")
+    print("Running with limited functionality.")
+
 # Initialize the SymphAI Core
-symphai_core = RhythmaSymphAICore()
+symphai_core = RhythmaSymphAICore(use_groq=use_groq)
 
 def analyze_input(input_text=None, audio_input=None):
     """Analyze user input for emotional state and rhythm patterns"""
-    if audio_input:
-        # If audio transcription service is available, integrate here
-        transcription = "Audio transcription would go here"
-        input_text = transcription
-        
-    if not input_text or not input_text.strip():
-        return {
-            "error": "Please enter a description of your emotional state or provide an audio input."
-        }
-        
-    # Analyze the input using SymphAI Core
-    analysis = symphai_core.analyze_input(input_text)
-    
-    return {
-        "input_text": input_text,
-        "emotional_state": analysis["emotional_state"],
-        "rhythm_pattern": analysis["rhythm_pattern"],
-        "transcription": input_text if audio_input else None
-    }
+    # Pass to SymphAI Core for analysis
+    return symphai_core.analyze_input(input_text, audio_input)
 
 def generate_modulated_experience(analysis_result, base_freq=None, modulation_type="sine", rhythm_pattern=None, duration=5):
     """Generate a complete modulated experience based on analysis and parameters"""
@@ -93,7 +86,9 @@ def rhythma_experience(
     )
     
     # Return all outputs
-    return analysis_text, audio_file, fig, waveform_image, symbolic
+    transcription = analysis.get("transcription", "") if isinstance(analysis, dict) else ""
+    
+    return analysis_text, audio_file, fig, waveform_image, symbolic, transcription
 
 # Create the Gradio interface
 def create_interface():
@@ -101,6 +96,9 @@ def create_interface():
         gr.Markdown("# Rhythma: The Living Modulation Engine")
         gr.Markdown("### Dynamic rhythm-based sound modulation for wellbeing")
         
+        if not use_groq:
+            gr.Markdown("⚠️ **Running with limited functionality:** GROQ_API_KEY not found. Advanced emotion detection and audio transcription disabled.")
+        
         with gr.Row():
             with gr.Column(scale=1):
                 # Input section
@@ -110,12 +108,12 @@ def create_interface():
                 )
                 audio_input = gr.Audio(
                     type="filepath", 
-                    label="Or speak about your feelings"
+                    label="Or speak about your feelings" if use_groq else "Audio input (requires Groq API for transcription)"
                 )
                 
                 with gr.Accordion("Advanced Settings", open=False):
                     override_freq = gr.Slider(
-                        minimum=20, maximum=1000, value=None, 
+                        minimum=0, maximum=1000, value=0, 
                         label="Override Frequency (Hz, leave at 0 for automatic)"
                     )
                     override_modulation = gr.Dropdown(
@@ -144,6 +142,7 @@ def create_interface():
                     waveform_simple = gr.Image(label="Basic Waveform")
                 waveform_plot = gr.Plot(label="Detailed Waveform Analysis")
                 symbolic_output = gr.Textbox(label="Symbolic Interpretation")
+                transcription_output = gr.Textbox(label="Transcribed Audio (if provided)", visible=use_groq)
 
         # Button action
         generate_button.click(
@@ -155,7 +154,8 @@ def create_interface():
             ],
             outputs=[
                 analysis_output, audio_output, 
-                waveform_plot, waveform_simple, symbolic_output
+                waveform_plot, waveform_simple, symbolic_output,
+                transcription_output
             ]
         )
         
@@ -187,6 +187,10 @@ def create_interface():
         Rhythma uses principles of Floquet modulation and rhythm analysis to generate audio that
         resonates with your current state or intention.
         
+        ### Advanced Features (require Groq API):
+        - Enhanced emotion detection with large language models
+        - Audio transcription for voice input
+        
         © 2025 Rhythma Technologies
         """)